Medical Data Sharing Harmonization and Analytics

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  • Author : Dimitrios I. Fotiadis
  • Publisher : Academic Press
  • Pages : 382 pages
  • ISBN : 9780128165072
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Medical Data Sharing Harmonization and Analytics

Download or Read online Medical Data Sharing Harmonization and Analytics full in PDF, ePub and kindle. this book written by Dimitrios I. Fotiadis and published by Academic Press which was released on 17 January 2020 with total page 382 pages. We cannot guarantee that Medical Data Sharing Harmonization and Analytics book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. Medical Data Sharing, Harmonization and Analytics serves as the basis for understanding the rapidly evolving field of medical data harmonization combined with the latest cloud infrastructures for storing the harmonized (shared) data. Chapters cover the latest research and applications on data sharing and protection in the medical domain, cohort integration through the recent advancements in data harmonization, cloud computing for storing and securing the patient data, and data analytics for effectively processing the harmonized data. Examines the unmet needs in chronic diseases as a part of medical data sharing Discusses ethical, legal and privacy issues as part of data protection Combines data harmonization and big data analytics strategies in shared medical data, along with relevant case studies in chronic diseases

Medical Data Sharing Harmonization and Analytics

Medical Data Sharing  Harmonization and Analytics
  • Author : Dimitrios I. Fotiadis,Vasileios Pezoulas,Themis Exarchos
  • Publisher : Academic Press
  • Release : 17 January 2020
GET THIS BOOK Medical Data Sharing Harmonization and Analytics

Medical Data Sharing, Harmonization and Analytics serves as the basis for understanding the rapidly evolving field of medical data harmonization combined with the latest cloud infrastructures for storing the harmonized (shared) data. Chapters cover the latest research and applications on data sharing and protection in the medical domain, cohort integration through the recent advancements in data harmonization, cloud computing for storing and securing the patient data, and data analytics for effectively processing the harmonized data. Examines the unmet needs in

Medical Data Sharing Harmonization and Analytics

Medical Data Sharing  Harmonization and Analytics
  • Author : Vasileios Pezoulas,Themis Exarchos,Dimitrios I Fotiadis
  • Publisher : Academic Press
  • Release : 05 January 2020
GET THIS BOOK Medical Data Sharing Harmonization and Analytics

Medical Data Sharing, Harmonization and Analytics serves as the basis for understanding the rapidly evolving field of medical data harmonization combined with the latest cloud infrastructures for storing the harmonized (shared) data. Chapters cover the latest research and applications on data sharing and protection in the medical domain, cohort integration through the recent advancements in data harmonization, cloud computing for storing and securing the patient data, and data analytics for effectively processing the harmonized data. Examines the unmet needs in

8th European Medical and Biological Engineering Conference

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  • Publisher : Springer Nature
  • Release : 29 November 2020
GET THIS BOOK 8th European Medical and Biological Engineering Conference

This book aims at informing on new trends, challenges and solutions, in the multidisciplinary field of biomedical engineering. It covers traditional biomedical engineering topics, as well as innovative applications such as artificial intelligence in health care, tissue engineering , neurotechnology and wearable devices. Further topics include mobile health and electroporation-based technologies, as well as new treatments in medicine. Gathering the proceedings of the 8th European Medical and Biological Engineering Conference (EMBEC 2020), held on November 29 - December 3, 2020, in Portorož, Slovenia, this book

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  • Author : Institute of Medicine,Board on Health Sciences Policy,Committee on Strategies for Responsible Sharing of Clinical Trial Data
  • Publisher : National Academies Press
  • Release : 20 April 2015
GET THIS BOOK Sharing Clinical Trial Data

Data sharing can accelerate new discoveries by avoiding duplicative trials, stimulating new ideas for research, and enabling the maximal scientific knowledge and benefits to be gained from the efforts of clinical trial participants and investigators. At the same time, sharing clinical trial data presents risks, burdens, and challenges. These include the need to protect the privacy and honor the consent of clinical trial participants; safeguard the legitimate economic interests of sponsors; and guard against invalid secondary analyses, which could undermine

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  • Publisher : Oxford University Press
  • Release : 03 October 2018
GET THIS BOOK Advancing the Science of Implementation across the Cancer Continuum

While many effective interventions have been developed with the potential to significantly reduce morbidity and mortality from cancer, they are of no benefit to the health of populations if they cannot be delivered. In response to this challenge, Advancing the Science of Implementation across the Cancer Continuum provides an overview of research that can improve the delivery of evidence-based interventions in cancer prevention, early detection, treatment, and survivorship. Chapters explore the field of implementation science and its application to practice,

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  • Publisher : National Academies Press
  • Release : 29 October 2020
GET THIS BOOK Genomic Epidemiology Data Infrastructure Needs for SARS CoV 2

In December 2019, new cases of severe pneumonia were first detected in Wuhan, China, and the cause was determined to be a novel beta coronavirus related to the severe acute respiratory syndrome (SARS) coronavirus that emerged from a bat reservoir in 2002. Within six months, this new virusâ€"SARS coronavirus 2 (SARS-CoV-2)â€"has spread worldwide, infecting at least 10 million people with an estimated 500,000 deaths. COVID-19, the disease caused by SARS-CoV-2, was declared a public health emergency of international concern on January 30, 2020 by the

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  • Publisher : National Academies Press
  • Release : 20 November 2020
GET THIS BOOK Reflections on Sharing Clinical Trial Data

On November 18 and 19, 2019, the National Academies of Sciences, Engineering, and Medicine hosted a public workshop in Washington, DC, titled Sharing Clinical Trial Data: Challenges and a Way Forward. The workshop followed the release of the 2015 Institute of Medicine (IOM) consensus study report Sharing Clinical Trial Data: Maximizing Benefits, Minimizing Risk, and was designed to examine the current state of clinical trial data sharing and reuse and to consider ways in which policy, technology, incentives, and governance could be leveraged to

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  • Author : Neha Sharma,Amlan Chakrabarti,Valentina Emilia Balas
  • Publisher : Springer Nature
  • Release : 24 October 2019
GET THIS BOOK Data Management Analytics and Innovation

This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.

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  • Author : Subhi J. Al'Aref,Gurpreet Singh,Lohendran Baskaran,Dimitri Metaxas
  • Publisher : Academic Press
  • Release : 20 November 2020
GET THIS BOOK Machine Learning in Cardiovascular Medicine

Machine Learning in Cardiovascular Medicine addresses the ever-expanding applications of artificial intelligence (AI), specifically machine learning (ML), in healthcare and within cardiovascular medicine. The book focuses on emphasizing ML for biomedical applications and provides a comprehensive summary of the past and present of AI, basics of ML, and clinical applications of ML within cardiovascular medicine for predictive analytics and precision medicine. It helps readers understand how ML works along with its limitations and strengths, such that they can could harness

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  • Author : Andreas Holzinger,Carsten Röcker,Martina Ziefle
  • Publisher : Springer
  • Release : 24 February 2015
GET THIS BOOK Smart Health

Prolonged life expectancy along with the increasing complexity of medicine and health services raises health costs worldwide dramatically. Whilst the smart health concept has much potential to support the concept of the emerging P4-medicine (preventive, participatory, predictive, and personalized), such high-tech medicine produces large amounts of high-dimensional, weakly-structured data sets and massive amounts of unstructured information. All these technological approaches along with “big data” are turning the medical sciences into a data-intensive science. To keep pace with the growing

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  • Author : Anonim
  • Publisher : Elsevier Health Sciences
  • Release : 09 October 2018
GET THIS BOOK Advances in Molecular Pathology 2018

This inaugural issue of Advances in Molecular Pathology will provide a comprehensive review of the most current practices, trends, and developments in the field of Molecular Pathology. Publishing on an annual basis, the volume will be divided into 7 sections: Genetics, Hematopathology, Infectious Disease, Pharmacogenomics, Informatics, Solid tumors, and Identity/HLA. Led by Dr. Gregory Tsongalis of Dartmouth University, a team of experienced pathologists from institutions across the country oversee annual topic and expert author selection. Topics discussed in this volume

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  • Author : Management Association, Information Resources
  • Publisher : IGI Global
  • Release : 06 December 2019
GET THIS BOOK Data Analytics in Medicine Concepts Methodologies Tools and Applications

Advancements in data science have created opportunities to sort, manage, and analyze large amounts of data more effectively and efficiently. Applying these new technologies to the healthcare industry, which has vast quantities of patient and medical data and is increasingly becoming more data-reliant, is crucial for refining medical practices and patient care. Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications is a vital reference source that examines practical applications of healthcare analytics for improved patient care, resource allocation, and

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  • Publisher : Springer Nature
  • Release : 19 June 2021
GET THIS BOOK Data Science and Medical Informatics in Healthcare Technologies

This book highlights a timely and accurate insight at the endeavour of the bioinformatics and genomics clinicians from industry and academia to address the societal needs. The contents of the book unearth the lacuna between the medication and treatment in the current preventive medicinal and pharmaceutical system. It contains chapters prepared by experts in life sciences along with data scientists for examining the circumstances of health care system for the next decade. It also highlights the automated processes for analyzing

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  • Publisher : Springer Science & Business Media
  • Release : 29 August 2009
GET THIS BOOK Textbook of Personalized Medicine

Personalized medicine, which simply means selection of treatment best suited for an individual, involves integration and translation of several new technologies in clinical care of patients. The scope is much broader than indicated by the term genomic medicine because many non-genomic factors are taken into consideration in developing personalized medicine. Basic technologies for personalized medicine, of which molecular diagnostics has the biggest share, are mentioned briefly and appropriate references are given for further information. Commercial aspects are discussed briefly in