Artificial Intelligence In Precision Health

Artificial Intelligence In Precision Health Book PDF
✏Book Title : Artificial Intelligence in Precision Health
✏Author : Debmalya Barh
✏Publisher : Academic Press
✏Release Date : 2020-03-04
✏Pages : 544
✏ISBN : 9780128173381
✏Available Language : English, Spanish, And French

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✏Artificial Intelligence in Precision Health Book Summary : Artificial Intelligence in Precision Health: From Concept to Applications provides a readily available resource to understand artificial intelligence and its real time applications in precision medicine in practice. Written by experts from different countries and with diverse background, the content encompasses accessible knowledge easily understandable for non-specialists in computer sciences. The book discusses topics such as cognitive computing and emotional intelligence, big data analysis, clinical decision support systems, deep learning, personal omics, digital health, predictive models, prediction of epidemics, drug discovery, precision nutrition and fitness. Additionally, there is a section dedicated to discuss and analyze AI products related to precision healthcare already available. This book is a valuable source for clinicians, healthcare workers, and researchers from diverse areas of biomedical field who may or may not have computational background and want to learn more about the innovative field of artificial intelligence for precision health. Provides computational approaches used in artificial intelligence easily understandable for non-computer specialists Gives know-how and real successful cases of artificial intelligence approaches in predictive models, modeling disease physiology, and public health surveillance Discusses the applicability of AI on multiple areas, such as drug discovery, clinical trials, radiology, surgery, patient care and clinical decision support

Artificial Intelligence In Precision Health Book PDF
✏Book Title : Artificial Intelligence in Precision Health
✏Author : Debmalya Barh
✏Publisher : Academic Press
✏Release Date : 2020-01-24
✏Pages : 500
✏ISBN : 0128171332
✏Available Language : English, Spanish, And French

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✏Artificial Intelligence in Precision Health Book Summary : Artificial Intelligence in Precision Health: From Concept to Applications provides a readily available resource to understand artificial intelligence and its real time applications in precision medicine in practice. Written by experts from different countries and with diverse background, the content encompasses accessible knowledge easily understandable for non-specialists in computer sciences. The book discusses topics such as cognitive computing and emotional intelligence, big data analysis, clinical decision support systems, deep learning, personal omics, digital health, predictive models, prediction of epidemics, drug discovery, precision nutrition and fitness. Additionally, there is a section dedicated to discuss and analyse AI products related to precision healthcare already available. This book is a valuable source for clinicians, healthcare workers, and researchers from diverse areas of biomedical field who may or may not have computational background and want to learn more about the innovative field of artificial intelligence for precision health Provides computational approaches used in artificial intelligence easily understandable for non-computer specialists Gives know-how and real successful cases of artificial intelligence approaches in predictive models, modelling disease physiology, and public health surveillance Discusses the applicability of AI on multiple areas, such as drug discovery, clinical trials, radiology, surgery, patient care, and clinical decision support

📒Precision Health And Medicine ✍ Arash Shaban-Nejad

Precision Health And Medicine Book PDF
✏Book Title : Precision Health and Medicine
✏Author : Arash Shaban-Nejad
✏Publisher : Springer
✏Release Date : 2019-08-01
✏Pages : 197
✏ISBN : 9783030244095
✏Available Language : English, Spanish, And French

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✏Precision Health and Medicine Book Summary : This book highlights the latest advances in the application of artificial intelligence to healthcare and medicine. It gathers selected papers presented at the 2019 Health Intelligence workshop, which was jointly held with the Association for the Advancement of Artificial Intelligence (AAAI) annual conference, and presents an overview of the central issues, challenges, and potential opportunities in the field, along with new research results. By addressing a wide range of practical applications, the book makes the emerging topics of digital health and precision medicine accessible to a broad readership. Further, it offers an essential source of information for scientists, researchers, students, industry professionals, national and international public health agencies, and NGOs interested in the theory and practice of digital and precision medicine and health, with an emphasis on risk factors in connection with disease prevention, diagnosis, and intervention.

Discovering Precision Health Book PDF
✏Book Title : Discovering Precision Health
✏Author : Lloyd Minor
✏Publisher : John Wiley & Sons
✏Release Date : 2020-01-23
✏Pages : 288
✏ISBN : 9781119672685
✏Available Language : English, Spanish, And French

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✏Discovering Precision Health Book Summary : Today we are on the brink of a much-needed transformative moment for health care. The U.S. health care system is designed to be reactive instead of preventive. The result is diagnoses that are too late and outcomes that are far worse than our level of spending should deliver. In recent years, U.S. life expectancy has been declining. Fundamental to realizing better health, and a more effective health care system, is advancing the disruptive thinking that has spawned innovation in Silicon Valley and throughout the world. That's exactly what Stanford Medicine has done by proposing a new vision for health and health care. In Discovering Precision Health, Lloyd Minor and Matthew Rees describe a holistic approach that will set health care on the right track: keep people healthy by preventing disease before it starts and personalize the treatment of individuals precisely, based on their specific profile. With descriptions of the pioneering work undertaken at Stanford Medicine, complemented by fascinating case studies of innovations from entities including the Chan Zuckerberg Biohub, GRAIL, and Impossible Foods, Minor and Rees present a dynamic vision for the future of individual health and health care. You'll see how tools from smartphone technology to genome sequencing to routine blood tests are helping avert illness and promote health. And you'll learn about the promising progress already underway in bringing greater precision to the process of predicting, preventing, and treating a range of conditions, including allergies, mental illness, preterm birth, cancer, stroke, and autism. The book highlights how biomedical advances are dramatically improving our ability to treat and cure complex diseases, while emphasizing the need to devote more attention to social, behavioral, and environmental factors that are often the primary determinants of health. The authors explore thought-provoking topics including: The unlikely role of Google Glass in treating autism How gene editing can advance precision in treating disease What medicine can learn from aviation liHow digital tools can contribute to health and innovation Discovering Precision Health showcases entirely new ways of thinking about health and health care and can help empower us to lead healthier lives.

Artificial Intelligence And Machine Learning An Issue Of Neuroimaging Clinics Of North America E Book Book PDF
✏Book Title : Artificial Intelligence and Machine Learning An Issue of Neuroimaging Clinics of North America E Book
✏Author : Reza Forghani
✏Publisher : Elsevier Health Sciences
✏Release Date : 2020-10-23
✏Pages : 240
✏ISBN : 9780323712453
✏Available Language : English, Spanish, And French

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✏Artificial Intelligence and Machine Learning An Issue of Neuroimaging Clinics of North America E Book Book Summary : This issue of Neuroimaging Clinics of North America focuses on Artificial Intelligence and Machine Learning and is edited by Dr. Reza Forghani. Articles will include: A Brief History of Artificial Intelligence; Evolution of Approaches for Computerized Image Analysis; Overview of Machine Learning Part 1: Classic Approaches; Overview of Machine Learning Part 2: Artificial Neural Networks & Deep Learning; Overview of Natural Language Processing; Artificial Intelligence & Stroke Imaging: An East Coast Perspective; Artificial Intelligence & Stroke Imaging: A West Coast Perspective; Artificial Intelligence Applications for Brain Tumor Imaging; Diverse Applications of Artificial Intelligence in Neuroradiology; Artificial Intelligence Applications for Head and Neck Imaging; Artificial Intelligence Applications for Predictive Analytics and Workflow Optimization; Artificial Intelligence, Advanced Visualization, and 3D Printing; Ethical & Legal Considerations for Artificial Intelligence; Comprehensive (or 360) Artificial Intelligence: Beyond Image Interpretation Alone, and more!

Medinfo 2017 Precision Healthcare Through Informatics Book PDF
✏Book Title : MEDINFO 2017 Precision Healthcare Through Informatics
✏Author : A.V. Gundlapalli
✏Publisher : IOS Press
✏Release Date : 2018-01-31
✏Pages : 1476
✏ISBN : 9781614998303
✏Available Language : English, Spanish, And French

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✏MEDINFO 2017 Precision Healthcare Through Informatics Book Summary : Medical informatics is a field which continues to evolve with developments and improvements in foundational methods, applications, and technology, constantly offering opportunities for supporting the customization of healthcare to individual patients. This book presents the proceedings of the 16th World Congress of Medical and Health Informatics (MedInfo2017), held in Hangzhou, China, in August 2017, which also marked the 50th anniversary of the International Medical Informatics Association (IMIA). The central theme of MedInfo2017 was "Precision Healthcare through Informatics", and the scientific program was divided into five tracks: connected and digital health; human data science; human, organizational, and social aspects; knowledge management and quality; and safety and patient outcomes. The 249 accepted papers and 168 posters included here span the breadth and depth of sub-disciplines in biomedical and health informatics, such as clinical informatics; nursing informatics; consumer health informatics; public health informatics; human factors in healthcare; bioinformatics; translational informatics; quality and safety; research at the intersection of biomedical and health informatics; and precision medicine. The book will be of interest to all those who wish to keep pace with advances in the science, education, and practice of biomedical and health informatics worldwide.

Machine Learning And Ai For Healthcare Book PDF
✏Book Title : Machine Learning and AI for Healthcare
✏Author : Arjun Panesar
✏Publisher : Apress
✏Release Date : 2019-02-04
✏Pages : 368
✏ISBN : 9781484237991
✏Available Language : English, Spanish, And French

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✏Machine Learning and AI for Healthcare Book Summary : Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges. You’ll discover the ethical implications of healthcare data analytics and the future of AI in population and patient health optimization. You’ll also create a machine learning model, evaluate performance and operationalize its outcomes within your organization. Machine Learning and AI for Healthcare provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of AI applications. These are illustrated through leading case studies, including how chronic disease is being redefined through patient-led data learning and the Internet of Things. What You'll Learn Gain a deeper understanding of key machine learning algorithms and their use and implementation within wider healthcare Implement machine learning systems, such as speech recognition and enhanced deep learning/AI Select learning methods/algorithms and tuning for use in healthcare Recognize and prepare for the future of artificial intelligence in healthcare through best practices, feedback loops and intelligent agents Who This Book Is For Health care professionals interested in how machine learning can be used to develop health intelligence – with the aim of improving patient health, population health and facilitating significant care-payer cost savings.

Deep Learning For Precision Diagnosis Surgery Book PDF
✏Book Title : Deep Learning for Precision Diagnosis Surgery
✏Author : Vivek S. Jagadale
✏Publisher : Notion Press
✏Release Date : 2020-04-15
✏Pages : 96
✏ISBN : 9781648056987
✏Available Language : English, Spanish, And French

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✏Deep Learning for Precision Diagnosis Surgery Book Summary : Artificial intelligence, smart applications, and virtual assistants are now revolutionizing every area of our lives, including healthcare delivery. This book introduces readers to the latest technological advances in the emerging field of augmented clinical care, machine learning for early diagnosis, and artificial intelligence-assisted precision surgery with orthopedics as a leading example. The applications of these techniques in orthopedic interventions offer many potential benefits, e.g., early diagnosis of elusive complications, precise templating and planning of surgery, systematic execution of the original plan with maximum accuracy, facilitating minimally invasive surgery and improving outcomes. This book is a valuable resource for all healthcare researchers, AI-based software developers and clinicians, on what is needed and what to expect to excel in the future of high-quality patient care. It also outlines why physicians must play a pivotal role in the development of these AI-based applications that will plainly define the future of personalized and cost-effective healthcare delivery for maximum patient safety and satisfaction. May the miracle you need be just around the corner.

Machine Intelligence For Healthcare Book PDF
✏Book Title : Machine Intelligence for Healthcare
✏Author : Francis X. Campion
✏Publisher :
✏Release Date : 2017-02-02
✏Pages : 346
✏ISBN : 1542924944
✏Available Language : English, Spanish, And French

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✏Machine Intelligence for Healthcare Book Summary : Machine Intelligence for Healthcare is a must read for physician leaders, health insurance executives, clinical researchers, public health officials, data scientists and software engineers seeking to understand this pivotal innovation in the information revolution in healthcare. MI for Healthcare provides a detailed introduction of Machine Intelligence, then takes the reader on a journey through the basics of machine learning, topological data analysis and applications of machine intelligence software for healthcare and life sciences. Over 20 case studies cover topics related to clinical variation analysis, hospital clinical pathways, population health management, genetic analysis, precision medicine, healthcare revenue cycle, and payment integrity. The book includes a detailed introduction of the mathematics of topology and concepts of machine learning algorithms. This provides an understanding for the central role which machine intelligence software is now playing in the emergence of the "learning healthcare system" and success in the new world of value-based healthcare delivery.

📒Emerging Technologies For Nurses ✍ Whende M. Carroll, MSN, RN-BC

Emerging Technologies For Nurses Book PDF
✏Book Title : Emerging Technologies for Nurses
✏Author : Whende M. Carroll, MSN, RN-BC
✏Publisher : Springer Publishing Company
✏Release Date : 2020-03-15
✏Pages : 262
✏ISBN : 9780826146519
✏Available Language : English, Spanish, And French

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✏Emerging Technologies for Nurses Book Summary : Learn and innovate with the latest technologies in Nursing and Healthcare! The first text of its kind in nursing, this book provides up-to-date information on innovative, smart technologies that nurses can use in clinical and non-clinical settings to keep up with the changing face of healthcare. This compelling guide will provide you with information about exciting areas of technology that have great potential to improve patient care. Subjects include big data, artificial intelligence, virtual and augmented realities, connected technologies, and precision health. There is also discussion of the shift of healthcare delivery into the community, with an outlook on improving outcomes and enhancing practice. Each chapter focuses on developing competency in current and future real-world applications of emerging technologies. Early chapters describe how to utilize new tools, processes, models, and products to serve the Quadruple Aim of better managing populations, decreasing costs, and enhancing both the patient and the clinician’s experience. The culture of innovation coincides with the ever-changing politics of healthcare in later chapters, which then evolves into the entrepreneurial opportunities for nurses. This text is an essential introduction for all practicing nurses, nurse leaders, and nurses teaching health IT or informatics courses. Key Features: Written by Nurses for Nurses The latest information on emerging Health Information Technology and associated Nursing Implications Compelling cases show the dramatic effect of innovations on value-based care Learn how applying novel technologies can improve patient care

Next Generation Technology Driven Precission Medicine And Smart Healthcare Book PDF
✏Book Title : Next Generation Technology Driven Precission Medicine and Smart Healthcare
✏Author : Miltiadis D. Lytras
✏Publisher : Academic Press
✏Release Date : 2020-09-01
✏Pages : 380
✏ISBN : 9780128220627
✏Available Language : English, Spanish, And French

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✏Next Generation Technology Driven Precission Medicine and Smart Healthcare Book Summary : Next Generation Technology Driven Precission Medicine and Smart Healthcare serves as a key reference for practitioners and experts involved in healthcare as they strive to enhance the value added of healthcare and develop more sustainable healthcare systems. It brings together insights from emerging sophisticated information and communication technologies such as big data analytics, artificial intelligence, machine learning, data science, medical intelligence, and, by dwelling on their current and prospective applications, highlights managerial and policymaking challenges they may generate. The book is split into five sections: big data infrastructure, framework and design for smart healthcare; signal processing techniques for smart healthcare applications; business analytics (descriptive, diagnostic, predictive and prescriptive) for smart healthcare; emerging tools and techniques for smart healthcare; and challenges (security, privacy, and policy) in big data for smart healthcare. The content is carefully developed to be understandable to different members of healthcare chain to leverage collaborations with researchers and industry. Presents a holistic discussion on the new landscape of data driven medical technologies including Big Data, Analytics, Artificial Intelligence, Machine Learning, and Precision Medicine Discusses such technologies with case study driven approach with reference to real world application and systems, to make easier the understanding to the reader not familiar with them Encompasses an international collaboration perspective, providing understandable knowledge to professionals involved with healthcare to leverage productive partnerships with technology developers

Artificial Intelligence In Medicine Book PDF
✏Book Title : Artificial Intelligence in Medicine
✏Author : Riccardo Bellazzi
✏Publisher : Springer Science & Business Media
✏Release Date : 2007-06-29
✏Pages : 509
✏ISBN : 9783540735984
✏Available Language : English, Spanish, And French

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✏Artificial Intelligence in Medicine Book Summary : This book constitutes the refereed proceedings of the 11th Conference on Artificial Intelligence in Medicine in Europe, AIME 2007, held in Amsterdam, The Netherlands in July 2007. The 28 revised full papers and 38 revised short papers presented were carefully reviewed and selected from 137 submissions. The papers are organized in topical sections on agent-based systems, temporal data mining, machine learning and knowledge discovery, text mining, natural language processing and generation, ontologies, decision support systems, applications of AI-based image processing techniques, protocols and guidelines, as well as workflow systems.

Artificial Intelligence For Health In New Zealand Book PDF
✏Book Title : Artificial Intelligence for Health in New Zealand
✏Author : Matt Boyd (Philosopher)
✏Publisher :
✏Release Date : 2019
✏Pages :
✏ISBN : OCLC:1152757812
✏Available Language : English, Spanish, And French

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✏Artificial Intelligence for Health in New Zealand Book Summary :

Artificial Intelligence In Medicine Book PDF
✏Book Title : Artificial Intelligence in Medicine
✏Author : Silvia Miksch
✏Publisher : Springer Science & Business Media
✏Release Date : 2005-07-14
✏Pages : 550
✏ISBN : 9783540278313
✏Available Language : English, Spanish, And French

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✏Artificial Intelligence in Medicine Book Summary : This book constitutes the refereed proceedings of the 10th Conference on Artificial Intelligence in Medicine in Europe, AIME 2005, held in Aberdeen, UK in July 2005. The 35 revised full papers and 34 revised short papers presented together with 2 invited contributions were carefully reviewed and selected from 148 submissions. The papers are organized in topical sections on temporal representation and reasoning, decision support systems, clinical guidelines and protocols, ontology and terminology, case-based reasoning, signal interpretation, visual mining, computer vision and imaging, knowledge management, machine learning, knowledge discovery, and data mining.

End To End Mobile Communications Evolution To 5g Book PDF
✏Book Title : End to End Mobile Communications Evolution to 5G
✏Author : Syed S. Husain
✏Publisher : McGraw Hill Professional
✏Release Date : 2020-09-04
✏Pages : 352
✏ISBN : 9781260460261
✏Available Language : English, Spanish, And French

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✏End to End Mobile Communications Evolution to 5G Book Summary : Explore mobile communications and discover how the technology has evolved to 5G This hands-on textbook lays out the foundations of mobile communications—from architecture to function—with a special focus on 5G services, networks, and applications. Written by a stellar team of academics and mobile networking practitioners, End-to-End Mobile Communications: Evolution to 5G clearly explains the latest capabilities, standards, and practices along with background and examples. The book contains a primer on the vast topic of mobile technology security and offers a look toward future trends and emerging technologies. Coverage includes: An introduction to mobile communications Background on mobile network services Evolution of mobile technologies 5G services and applications 5G radio access network architecture 5G core network architecture Security Future evolution of mobile systems

Precision Medicine Powered By Phealth And Connected Health Book PDF
✏Book Title : Precision Medicine Powered by pHealth and Connected Health
✏Author : Nicos Maglaveras
✏Publisher : Springer
✏Release Date : 2017-11-16
✏Pages : 269
✏ISBN : 9789811074196
✏Available Language : English, Spanish, And French

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✏Precision Medicine Powered by pHealth and Connected Health Book Summary : This volume presents the proceedings of the 3rd ICBHI which took place in Thessaloniki on 18-21 November, 2017.The area of biomedical and health informatics is exploding at all scales. The developments in the areas of medical devices, eHealth and personalized health as enabling factors for the evolution of precision medicine are quickly developing and demand the development of new scaling tools, integration frameworks and methodologies.

Artificial Intelligence In Medicine Book PDF
✏Book Title : Artificial Intelligence in Medicine
✏Author : Michel Dojat
✏Publisher : Springer Science & Business Media
✏Release Date : 2003-10-09
✏Pages : 385
✏ISBN : 3540201297
✏Available Language : English, Spanish, And French

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✏Artificial Intelligence in Medicine Book Summary : This book constitutes the refereed proceedings of the 9th Conference on Artificial Intelligence in Medicine in Europe, AIME 2003, held in Protaras, Cyprus, in October 2003. The 24 revised full papers and 26 revised short papers presented together with two invited contributions were carefully reviewed and selected from 65 submissions. The papers are organized in topical sections on temporal reasoning, ontology and terminology, image processing and simulation, guidelines and clinical protocols, terminology and natural language issues, machine learning, probabilistic networks and Bayesian models, case-based reasoning and decision support, and data mining and knowledge discovery.

📒Artificial Intelligence In Medicine ✍ Elpida Keravnou-Papailiou

Artificial Intelligence In Medicine Book PDF
✏Book Title : Artificial Intelligence in Medicine
✏Author : Elpida Keravnou-Papailiou
✏Publisher : Springer Science & Business Media
✏Release Date : 1997-03-12
✏Pages : 526
✏ISBN : 354062709X
✏Available Language : English, Spanish, And French

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✏Artificial Intelligence in Medicine Book Summary : Content Description #Includes bibliographical references and index.

Artificial Intelligence And Social Work Book PDF
✏Book Title : Artificial Intelligence and Social Work
✏Author : Milind Tambe
✏Publisher : Cambridge University Press
✏Release Date : 2018-11-29
✏Pages : 280
✏ISBN : 9781108425995
✏Available Language : English, Spanish, And French

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✏Artificial Intelligence and Social Work Book Summary : An introductory guide with real-life examples on using AI to help homeless youth, diabetes patients, and other social welfare interventions.

Artificial Intelligence Research And Development Book PDF
✏Book Title : Artificial Intelligence Research and Development
✏Author : Teresa Alsinet
✏Publisher : IOS Press
✏Release Date : 2008-01-01
✏Pages : 442
✏ISBN : 9781586039257
✏Available Language : English, Spanish, And French

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✏Artificial Intelligence Research and Development Book Summary : The Eighth International Baltic Conference on Databases and Information Systems took place on June 25 2008 in Tallinn, Estonia. This conference is continuing a series of successful bi-annual Baltic conferences on databases and information systems (IS). The aim is to provide a wide international forum for academics and practitioners in the field of databases and modern information systems for exchanging their achievements in this area. The original research results presented in Databases and Information Systems V mostly belong to novel fields of IS and database research such as database technology and the semantic web, ontology-based IS, IS and AI technologies and IS integration. The contribution of Dr. Jari Palomauml;ki showed how different ontological commitments affect the way we are modeling the world when creating an information system. As semantic technologies have been gaining more attention recently, a special session on semantic interoperability of IS was organized. The invited talks from each Baltic State gave a good insight how semantic interoperability initiatives are developing in each of the Baltic States and how they relate to the European semantic interoperability framework.

Behavioral Healthcare And Technology Book PDF
✏Book Title : Behavioral Healthcare and Technology
✏Author : Lisa Marsch
✏Publisher : Oxford University Press
✏Release Date : 2014-11-10
✏Pages : 368
✏ISBN : 9780199314041
✏Available Language : English, Spanish, And French

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✏Behavioral Healthcare and Technology Book Summary : In recent years, there has been an explosion of research focused on using technology in healthcare, including web- and mobile- health assessment and intervention tools, as well as smartphone sensors and smart environments for monitoring and promoting health behavior. This work has shown that technology-based therapeutic tools offer considerable promise for monitoring and responding to individuals' health behavior in real-time. They may also function as important "clinician-extenders" or stand-alone tools, may be cost-effective and may offer countless opportunities for tailoring behavioral monitoring and intervention delivery in a manner that is optimally responsive to each individual's profile and health behavior trajectory over time. Additionally, informational and communication technologies may be used in the context of decision support tools to help individuals better understand and access treatment. Technology may enable entirely new models of healthcare both within and outside of formal systems of care and thus offers the opportunity to revolutionize healthcare delivery. This edited book defines the state of scientific research related to the development, experimental evaluation, and effective dissemination of technology-based therapeutic tools targeting behavioral health. Behavioral Healthcare and Technology provides an overview of current evidence-based approaches to leverage technology to promote behavioral health, including management of substance use, mental health, diet/exercise, medication adherence, as well as chronic disease self-management. Additionally, the book defines the state of implementation research examining models for deploying technology-based behavioral healthcare systems and integrating them into various care settings to increase the quality and reach of evidence-based behavioral healthcare while reducing costs.

Artificial Intelligence In Medicine Book PDF
✏Book Title : Artificial Intelligence in Medicine
✏Author : Werner Horn
✏Publisher : Springer Science & Business Media
✏Release Date : 1999-06-09
✏Pages : 462
✏ISBN : 9783540661627
✏Available Language : English, Spanish, And French

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✏Artificial Intelligence in Medicine Book Summary : This book constitutes the refereed proceedings of the Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM'99, held in Aalborg, Denmark, in June 1999. The 27 full papers and 19 short papers presented in the book together with four invited papers were selected from 90 submissions. The papers are organized in topical sections on guidelines and protocols; decision support systems, knowledge-based systems, and cooperative systems; model-based systems; neural nets and causal probabilistic networks; knowledge representation; temporal reasoning; machine learning; natural language processing; and image processing and computer aided design.

Demystifying Big Data And Machine Learning For Healthcare Book PDF
✏Book Title : Demystifying Big Data and Machine Learning for Healthcare
✏Author : Prashant Natarajan
✏Publisher : CRC Press
✏Release Date : 2017-02-15
✏Pages : 210
✏ISBN : 9781315389318
✏Available Language : English, Spanish, And French

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✏Demystifying Big Data and Machine Learning for Healthcare Book Summary : Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this tapestry of big data to discover new business value, use cases, and knowledge as well as how big data can be woven into pre-existing business intelligence and analytics efforts. This book focuses on teaching you how to: Develop skills needed to identify and demolish big-data myths Become an expert in separating hype from reality Understand the V’s that matter in healthcare and why Harmonize the 4 C’s across little and big data Choose data fi delity over data quality Learn how to apply the NRF Framework Master applied machine learning for healthcare Conduct a guided tour of learning algorithms Recognize and be prepared for the future of artificial intelligence in healthcare via best practices, feedback loops, and contextually intelligent agents (CIAs) The variety of data in healthcare spans multiple business workflows, formats (structured, un-, and semi-structured), integration at point of care/need, and integration with existing knowledge. In order to deal with these realities, the authors propose new approaches to creating a knowledge-driven learning organization-based on new and existing strategies, methods and technologies. This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with them.

Handbook Of Biomarkers And Precision Medicine Book PDF
✏Book Title : Handbook of Biomarkers and Precision Medicine
✏Author : Claudio Carini
✏Publisher : CRC Press
✏Release Date : 2019-04-16
✏Pages : 631
✏ISBN : 9780429576737
✏Available Language : English, Spanish, And French

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✏Handbook of Biomarkers and Precision Medicine Book Summary : "The field of Biomarkers and Precision Medicine in drug development is rapidly evolving and this book presents a snapshot of exciting new approaches. By presenting a wide range of biomarker applications, discussed by knowledgeable and experienced scientists, readers will develop an appreciation of the scope and breadth of biomarker knowledge and find examples that will help them in their own work." -Maria Freire, Foundation for the National Institutes of Health Handbook of Biomarkers and Precision Medicine provides comprehensive insights into biomarker discovery and development which has driven the new era of Precision Medicine. A wide variety of renowned experts from government, academia, teaching hospitals, biotechnology and pharmaceutical companies share best practices, examples and exciting new developments. The handbook aims to provide in-depth knowledge to research scientists, students and decision makers engaged in Biomarker and Precision Medicine-centric drug development. Features: Detailed insights into biomarker discovery, validation and diagnostic development with implementation strategies Lessons-learned from successful Precision Medicine case studies A variety of exciting and emerging biomarker technologies The next frontiers and future challenges of biomarkers in Precision Medicine Claudio Carini, Mark Fidock and Alain van Gool are internationally recognized as scientific leaders in Biomarkers and Precision Medicine. They have worked for decades in academia and pharmaceutical industry in EU, USA and Asia. Currently, Dr. Carini is Honorary Faculty at Kings’s College School of Medicine, London, UK. Dr. Fidock is Vice President of Precision Medicine Laboratories at AstraZeneca, Cambridge, UK. Prof.dr. van Gool is Head Translational Metabolic Laboratory at Radboud university medical school, Nijmegen, NL.

Artificial Intelligence And Deep Learning In Pathology E Book Book PDF
✏Book Title : Artificial Intelligence and Deep Learning in Pathology E Book
✏Author : Stanley Cohen
✏Publisher : Elsevier Health Sciences
✏Release Date : 2020-06-02
✏Pages : 288
✏ISBN : 9780323675376
✏Available Language : English, Spanish, And French

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✏Artificial Intelligence and Deep Learning in Pathology E Book Book Summary : Recent advances in computational algorithms, along with the advent of whole slide imaging as a platform for embedding artificial intelligence (AI), are transforming pattern recognition and image interpretation for diagnosis and prognosis. Yet most pathologists have just a passing knowledge of data mining, machine learning, and AI, and little exposure to the vast potential of these powerful new tools for medicine in general and pathology in particular. In Artificial Intelligence and Deep Learning in Pathology, Dr. Stanley Cohen covers the nuts and bolts of all aspects of machine learning, up to and including AI, bringing familiarity and understanding to pathologists at all levels of experience. Focuses heavily on applications in medicine, especially pathology, making unfamiliar material accessible and avoiding complex mathematics whenever possible. Covers digital pathology as a platform for primary diagnosis and augmentation via deep learning, whole slide imaging for 2D and 3D analysis, and general principles of image analysis and deep learning. Discusses and explains recent accomplishments such as algorithms used to diagnose skin cancer from photographs, AI-based platforms developed to identify lesions of the retina, using computer vision to interpret electrocardiograms, identifying mitoses in cancer using learning algorithms vs. signal processing algorithms, and many more.

Radiomics And Its Clinical Application Book PDF
✏Book Title : Radiomics and its Clinical Application
✏Author : Jie Tian
✏Publisher : Academic Press
✏Release Date : 2021-05-01
✏Pages : 225
✏ISBN : 9780128181027
✏Available Language : English, Spanish, And French

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✏Radiomics and its Clinical Application Book Summary : Radiomics and its Clinical Application: Artificial Intelligence and Medical Big Data describes the two key aspects of radiomic clinical practice, including precision diagnosis and the therapeutic effect and prognostic evaluation that make radiomics a powerful tool in the clinical setting. This book is a very useful resource for scientists and computer engineers in machine learning and medical image analysis, scientists focusing on antineoplastic drugs, radiologists, pathologists, oncologists and surgeons wanting to understand radiomics and its potential in clinical practice. Provides an introduction to the concepts of radiomics Presents an in-depth discussion on core technologies and methods Summarizes current radiomics research, perspectives on the future of radiomics, and the challenges ahead Includes an introduction to several platforms that are planned to be built, including cooperation, data sharing, software and application platforms

Handbook Of Research On Distributed Medical Informatics And E Health Book PDF
✏Book Title : Handbook of Research on Distributed Medical Informatics and E Health
✏Author : Lazakidou, Athina A.
✏Publisher : IGI Global
✏Release Date : 2008-08-31
✏Pages : 600
✏ISBN : 9781605660035
✏Available Language : English, Spanish, And French

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✏Handbook of Research on Distributed Medical Informatics and E Health Book Summary : Provides coverage of specific topics and issues in healthcare, highlighting recent trends and describing the latest advances in the field.

📒Ai First Healthcare ✍ KERRIE. BECKER M.D. HOLLEY (SIUPO.)

Ai First Healthcare Book PDF
✏Book Title : AI First Healthcare
✏Author : KERRIE. BECKER M.D. HOLLEY (SIUPO.)
✏Publisher : O'Reilly Media
✏Release Date : 2021-03-16
✏Pages : 250
✏ISBN : 1492063150
✏Available Language : English, Spanish, And French

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✏AI First Healthcare Book Summary : AI is poised to transform every aspect of healthcare, including the way we manage personal health from customer experience and clinical care to healthcare cost reductions. This practical book is one of the first to describe present and future use cases where AI can help solve pernicious healthcare problems. Kerrie Holley and Siupo Becker provide guidance to help informatics and healthcare leadership create AI strategy and implementation plans for healthcare. With this book, business stakeholders and practitioners will be able to build knowledge, a road map, and the confidence to support AI in their organizations--without getting into the weeds of algorithms or open source frameworks. Cowritten by an AI technologist and a medical doctor who leverages AI to solve healthcare's most difficult challenges, this book covers: The myths and realities of AI, now and in the future Human-centered AI: what it is and how to make it possible How to use various AI technologies to go beyond precision medicine Delivering patient care using the IoT and ambient computing with AI How AI can help reduce waste in healthcare AI strategy and identifying high-priority AI applications

Eleventh International Conference On Artificial Intelligence And Law Book PDF
✏Book Title : Eleventh International Conference on Artificial Intelligence and Law
✏Author :
✏Publisher :
✏Release Date : 2007
✏Pages : 290
✏ISBN : STANFORD:36105134482673
✏Available Language : English, Spanish, And French

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✏Eleventh International Conference on Artificial Intelligence and Law Book Summary :

A Unified Framework For Collecting Annotating Modeling And Prediction From Phenotypes In Multi Institutional Pediatric Data Resources Book PDF
✏Book Title : A Unified Framework for Collecting Annotating Modeling and Prediction from Phenotypes in Multi Institutional Pediatric Data Resources
✏Author : Alex S. Felmeister
✏Publisher :
✏Release Date : 2019
✏Pages : 90
✏ISBN : OCLC:1103526863
✏Available Language : English, Spanish, And French

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✏A Unified Framework for Collecting Annotating Modeling and Prediction from Phenotypes in Multi Institutional Pediatric Data Resources Book Summary : Predictive models on sequential observational clinical data have helped make headway utilizing large sets of this data collected from health systems from electronic medical record (EMR) and billing systems to predict outcomes, help physicians make decisions through clinical decision support (CDS) and possibly change the course of treatment of patients suffering from some of the most common diseases and illnesses. For diseases that affect a large portion of the population, standardized clinical data observations can be used to create new models that predict precise treatment options for individuals. This is referred to as precision medicine, and these treatments are derived from techniques in machine learning, artificial intelligence and other areas breaking to the surface by data scientists in healthcare. The question remains, is this data useful for those affected by rare diseases? Unlike diseases that common in the population like asthma or diabetes, rare diseases do not have characteristics well described or derived from the clinical records. Pediatric cancer, specifically brain tumors in children are severely lacking the sample size, consistent data capture and simple infrastructure to collect data. This hinders the speed at which scientists can discover breakthroughs in precision medicine as is seen in more common diseases. With the attention and buzz around the discipline under the umbrella of "artificial intelligence" in precision medicine especially in cancer, collaborations have been created to pool resources, data and biomaterials. In parallel, the government in the United States over the years has dedicated money and resources to large scale health data programs called Clinical Data Resource Networks (CDRNs) where standard observational clinical data is integrated across institutions to made large relevant sample sizes for observational research in one common data model. In this research, we investigate the intersection of both a specific rare disease repository, The Children's Brain Tumor Tissue Consortium (CBTTC) and a CDRN, PEDSnet, with the goal of leveraging the CDRN to help ease the burden of human data entry in the CBTTC and make data available faster to more researchers over multiple disciplines. We use PEDSnet data from children diagnosed with malignant brain tumors to try to predict a highly malignant brain tumor, Primitive neuroectodermal tumors (PNETs), and reproduce a similar data set used in a physical laboratory project developed by researchers at the Children's Hospital of Seattle (CHS), Children's Hospital of Philadelphia (CHOP) and Toronto Hospital for Sick Children. We use a threefold pipeline of exploratory data analysis, multi-modal data transformation and predictive analytics to derive a data driven phenotype from a sample of over 1900 brain tumor cases from PEDSnet originating at CHOP and SCH. The hypothesis herein is that the CDRN could contain a set of data that can be derived through traditional machine learning techniques and used to supplement the current hand data entry and abstraction process to bring automation to data harmonization across institutions where longitudinal data is required for biomedical research. This research is supported by the iFellowship Program administered by the University of Pittsburgh as part of the iSchool Consortium and funded by the Andrew W. Mellon Foundation. This research reflects the goals of the Committee on Coherence at Scale for Higher Education in that this research aims to take information that is usually 'siloed' in a lab and make it available to more minds from different domains by using a national organization with large sets of patient data to drive an analogue, human data entry intensive project to scale.