Machine Learning in Cardiovascular Medicine PDF
By:Subhi J. Al'Aref,Gurpreet Singh,Lohendran Baskaran,Dimitri Metaxas
Published on 2020-11-20 by Academic Press
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
This Book was ranked at 40 by Google Books for keyword medical assistant computer software.
Book ID of Machine Learning in Cardiovascular Medicine's Books is XGUKEAAAQBAJ, Book which was written bySubhi J. Al'Aref,Gurpreet Singh,Lohendran Baskaran,Dimitri Metaxashave ETAG "LhsogRvVCbE"
Book which was published by Academic Press since 2020-11-20 have ISBNs, ISBN 13 Code is 9780128202746 and ISBN 10 Code is 0128202742
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Book which have "454 Pages" is Printed at BOOK under CategoryMedical
Book was written in en
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