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Machine Learning in Cardiovascular Medicine, Paperback / softback Book

Machine Learning in Cardiovascular Medicine Paperback / softback

Edited by Subhi J., M.D. (Assistant Professor of Medicine<br>University of Arkansas for Medical Scien Al'Aref, Gurpreet (Senior Manager, Data Science Capabilities<br>Glaxosmithkline, based in Philadelphia Singh, Lohendran (Visiting Assistant Professor of Research in Radiology at Weill Cornell Medicine Baskaran, Dimitri (Distinguished Professor of Computer Science, Rutgers University, U.S.A.<br>Directo Metaxas

Paperback / softback

Available to Order - This title is available to order, with delivery expected within 2 weeks

Description

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.

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£115.00

Available to Order - This title is available to order, with delivery expected within 2 weeks
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