Machine Learning in Cardiovascular Medicine

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  • Author : Subhi J. Al'Aref
  • Publisher : Academic Press
  • Pages : 454 pages
  • ISBN : 0128202742
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Machine Learning in Cardiovascular Medicine

Download or Read online Machine Learning in Cardiovascular Medicine full in PDF, ePub and kindle. this book written by Subhi J. Al'Aref and published by Academic Press which was released on 20 November 2020 with total page 454 pages. We cannot guarantee that Machine Learning in Cardiovascular Medicine 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. 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 its computational power to streamline workflow and improve patient care. It is suitable for both clinicians and engineers; providing a template for clinicians to understand areas of application of machine learning within cardiovascular research; and assist computer scientists and engineers in evaluating current and future impact of machine learning on cardiovascular medicine. Provides an overview of machine learning, both for a clinical and engineering audience Summarize recent advances in both cardiovascular medicine and artificial intelligence Discusses the advantages of using machine learning for outcomes research and image processing Addresses the ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach

Machine Learning in Cardiovascular Medicine

Machine Learning in Cardiovascular Medicine
  • 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

Predicting Heart Failure

Predicting Heart Failure
  • Author : Kishor Kumar Sadasivuni,Sumaya Al-Maadeed,Huseyin C. Yalcin,Issam Bait Bahadur,Hassen M. Ouakad
  • Publisher : Wiley
  • Release : 13 June 2022
GET THIS BOOK Predicting Heart Failure

Our knowledge of human biology especially related to the heart, increases every day. This makes it nearly impossible for physicians to stay current on the latest research in their fields, let alone in all of the others that directly affect their ability to treat their patients properly. Predicting Heart Failure: Invasive, Non-Invasive, Machine Learning and Artificial Intelligence Based Methods focuses on the mechanics and symptoms of heart failure and various approaches, including conventional and modern techniques to diagnose it. Moreover,

Machine Learning Big Data and IoT for Medical Informatics

Machine Learning  Big Data  and IoT for Medical Informatics
  • Author : Pardeep Kumar,Yugal Kumar,Mohamed A. Tawhid
  • Publisher : Academic Press
  • Release : 13 June 2021
GET THIS BOOK Machine Learning Big Data and IoT for Medical Informatics

Machine Learning, Big Data, and IoT for Medical Informatics focuses on the latest techniques adopted in the field of medical informatics. In medical informatics, machine learning, big data, and IOT-based techniques play a significant role in disease diagnosis and its prediction. In the medical field, the structure of data is equally important for accurate predictive analytics due to heterogeneity of data such as ECG data, X-ray data, and image data. Thus, this book focuses on the usability of machine learning,

Precision Medicine in Cardiovascular Disease Prevention

Precision Medicine in Cardiovascular Disease Prevention
  • Author : Seth S. Martin
  • Publisher : Springer Nature
  • Release : 24 January 2022
GET THIS BOOK Precision Medicine in Cardiovascular Disease Prevention

This book contains the current knowledge and potential future developments of precision medicine techniques including artificial intelligence, big data, mobile health, digital health and genetic medicine in the prevention of cardiovascular disease. It reviews the presently used advanced precision medicine techniques and fundamental principles that continue to act as guiding forces for many medical professionals in applying precision and preventative medical techniques in their day-to-day practices. Precision Medicine in Cardiovascular Disease Prevention describes current knowledge and potential future developments in

Machine Learning and the Internet of Medical Things in Healthcare

Machine Learning and the Internet of Medical Things in Healthcare
  • Author : Krishna Kant Singh,Mohamed Elhoseny,Akansha Singh,Ahmed A. Elngar
  • Publisher : Academic Press
  • Release : 26 April 2021
GET THIS BOOK Machine Learning and the Internet of Medical Things in Healthcare

Machine Learning and the Internet of Medical Things in Healthcare discusses the applications and challenges of machine learning for healthcare applications. The book provides a platform for presenting machine learning-enabled healthcare techniques and offers a mathematical and conceptual background of the latest technology. It describes machine learning techniques along with the emerging platform of the Internet of Medical Things used by practitioners and researchers worldwide. The book includes deep feed forward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and

Deep Learning for Medical Decision Support Systems

Deep Learning for Medical Decision Support Systems
  • Author : Utku Kose,Omer Deperlioglu,Jafar Alzubi,Bogdan Patrut
  • Publisher : Springer Nature
  • Release : 17 June 2020
GET THIS BOOK Deep Learning for Medical Decision Support Systems

This book explores various applications of deep learning-oriented diagnosis leading to decision support, while also outlining the future face of medical decision support systems. Artificial intelligence has now become a ubiquitous aspect of modern life, and especially machine learning enjoysgreat popularity, since it offers techniques that are capable of learning from samples to solve newly encountered cases. Today, a recent form of machine learning, deep learning, is being widely used with large, complex quantities of data, because today’s problems

Machine Learning Methods for Prediction of Cardiovascular Diseases

Machine Learning Methods for Prediction of Cardiovascular Diseases
  • Author : Jessica Nicole Torres
  • Publisher : Unknown
  • Release : 24 January 2022
GET THIS BOOK Machine Learning Methods for Prediction of Cardiovascular Diseases

Artificial intelligence and machine learning methods in cardiology are increasingly used in a wide array of remote monitoring applications and within clinical workflows. The acceptance of such methods is due to the demonstrated benefits of deep learning algorithms to achieve state-of-the-art results and surpass human accuracy in challenging clinical tasks. Concurrently, the advancements in wearable technology have allowed for an unprecedented look into human health and activity. This snapshot into the objective measurements of human health can enable clinicians, researchers,

Advances in Information and Communication

Advances in Information and Communication
  • Author : Kohei Arai
  • Publisher : Springer Nature
  • Release : 12 April 2021
GET THIS BOOK Advances in Information and Communication

This book aims to provide an international forum for scholarly researchers, practitioners and academic communities to explore the role of information and communication technologies and its applications in technical and scholarly development. The conference attracted a total of 464 submissions, of which 152 submissions (including 4 poster papers) have been selected after a double-blind review process. Academic pioneering researchers, scientists, industrial engineers and students will find this series useful to gain insight into the current research and next-generation information science and communication technologies.

Intelligence Based Medicine

Intelligence Based Medicine
  • Author : Anthony C. Chang
  • Publisher : Academic Press
  • Release : 27 June 2020
GET THIS BOOK Intelligence Based Medicine

Intelligence-Based Medicine: Data Science, Artificial Intelligence, and Human Cognition in Clinical Medicine and Healthcare provides a multidisciplinary and comprehensive survey of artificial intelligence concepts and methodologies with real life applications in healthcare and medicine. Authored by a senior physician-data scientist, the book presents an intellectual and academic interface between the medical and the data science domains that is symmetric and balanced. The content consists of basic concepts of artificial intelligence and its real-life applications in a myriad of medical areas

Image Processing for Automated Diagnosis of Cardiac Diseases

Image Processing for Automated Diagnosis of Cardiac Diseases
  • Author : Kalpana Chauhan,Rajeev Kumar Chauhan
  • Publisher : Academic Press
  • Release : 13 July 2021
GET THIS BOOK Image Processing for Automated Diagnosis of Cardiac Diseases

Image Processing for Automated Diagnosis of Cardiac Diseases highlights current and emerging technologies for the automated diagnosis of cardiac diseases. It presents concepts and practical algorithms, including techniques for the automated diagnosis of organs in motion using image processing. This book is suitable for biomedical engineering researchers, engineers and scientists in research and development, and clinicians who want to learn more about and develop advanced concepts in image processing to overcome the challenges of automated diagnosis of heart disease. Includes

Industrial Applications of Machine Learning

Industrial Applications of Machine Learning
  • Author : Pedro Larrañaga,David Atienza,Javier Diaz-Rozo,Alberto Ogbechie,Carlos Esteban Puerto-Santana,Concha Bielza
  • Publisher : CRC Press
  • Release : 12 December 2018
GET THIS BOOK Industrial Applications of Machine Learning

Industrial Applications of Machine Learning shows how machine learning can be applied to address real-world problems in the fourth industrial revolution, and provides the required knowledge and tools to empower readers to build their own solutions based on theory and practice. The book introduces the fourth industrial revolution and its current impact on organizations and society. It explores machine learning fundamentals, and includes four case studies that address a real-world problem in the manufacturing or logistics domains, and approaches machine

Proceedings of the 2nd International Conference on Healthcare Science and Engineering

Proceedings of the 2nd International Conference on Healthcare Science and Engineering
  • Author : Chase Q. Wu,Ming-Chien Chyu,Jaime Lloret,Xianxian Li
  • Publisher : Springer
  • Release : 09 May 2019
GET THIS BOOK Proceedings of the 2nd International Conference on Healthcare Science and Engineering

This book presents a compilation of selected papers from the 2nd International Conference on Healthcare Science and Engineering (Healthcare 2018). The work focuses on novel computing, networking, and data analytics techniques for various issues in healthcare. The book is a valuable resource for academic researchers and practitioners working in the field.

Machine Learning for Medical Image Reconstruction

Machine Learning for Medical Image Reconstruction
  • Author : Florian Knoll,Andreas Maier,Daniel Rueckert
  • Publisher : Springer
  • Release : 11 September 2018
GET THIS BOOK Machine Learning for Medical Image Reconstruction

This book constitutes the refereed proceedings of the First International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. The 17 full papers presented were carefully reviewed and selected from 21 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging; deep learning for computed tomography, and deep learning for general image reconstruction.

Proceedings of International Conference on Recent Trends in Machine Learning IoT Smart Cities and Applications

Proceedings of International Conference on Recent Trends in Machine Learning  IoT  Smart Cities and Applications
  • Author : Vinit Kumar Gunjan,Jacek M. Zurada
  • Publisher : Springer Nature
  • Release : 17 October 2020
GET THIS BOOK Proceedings of International Conference on Recent Trends in Machine Learning IoT Smart Cities and Applications

This book gathers selected research papers presented at the International Conference on Recent Trends in Machine Learning, IOT, Smart Cities & Applications (ICMISC 2020), held on 29–30 March 2020 at CMR Institute of Technology, Hyderabad, Telangana, India. Discussing current trends in machine learning, Internet of things, and smart cities applications, with a focus on multi-disciplinary research in the area of artificial intelligence and cyber-physical systems, this book is a valuable resource for scientists, research scholars and PG students wanting formulate their research ideas and

Process Improvement in Heart Failure An Issue of Heart Failure Clinics EBK

Process Improvement in Heart Failure  An Issue of Heart Failure Clinics EBK
  • Author : Clyde Yancy,Kannan Mutharasan
  • Publisher : Elsevier Health Sciences
  • Release : 25 September 2020
GET THIS BOOK Process Improvement in Heart Failure An Issue of Heart Failure Clinics EBK

This issue of Heart Failure Clinics, guest edited by Drs. Clyde W. Yancy and R. Kannan Mutharasan, will cover Process Improvement in Heart Failure. This issue is one of four issues selected each year by our series consulting editor, Dr. Eduardo Bossone. Topics discussed in this issue will include: Approaching Process Improvement, Identifying Heart Failure Patients, Predicting High-risk Patients and High-Risk Outcomes in Heart Failure, Selecting the Correct Target for Improvement in Heart Failure Care and Improving Adherence, Empowering Patients