Machine Learning in Cardiovascular Medicine (Paperback)

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.

General

Imprint:	Academic Press Inc
Country of origin:	United States
Release date:	November 2020
First published:	2021
Editors:	Subhi J. Al'Aref • Gurpreet Singh • Lohendran Baskaran • Dimitri Metaxas
Dimensions:	276 x 216 x 24mm (L x W x T)
Format:	Paperback
Pages:	454
ISBN-13:	978-0-12-820273-9
Categories:	Books > Medicine > Clinical & internal medicine > Cardiovascular medicine Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	0-12-820273-4
Barcode:	9780128202739

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