Machine Learning in Cardiovascular Medicine

Machine Learning in Cardiovascular Medicine is a book that explores the use of artificial intelligence, particularly machine learning, in healthcare and cardiovascular medicine. It provides a comprehensive overview of AI, ML basics, and clinical applications for predictive analytics and precision medicine. The book aims to help readers understand how ML works and its limitations and strengths, enabling them to harness its computational power to streamline workflow and improve patient care. It is suitable for clinicians and engineers, providing a template for understanding ML applications in cardiovascular research and assisting computer scientists and engineers in evaluating the impact of ML on cardiovascular medicine.

Format: Paperback / softback
Length: 454 pages
Publication date: 27 November 2020
Publisher: Elsevier Science Publishing Co Inc

Machine Learning in Cardiovascular Medicine delves into the ever-growing realm of artificial intelligence (AI), particularly machine learning (ML), in healthcare and cardiovascular medicine. This comprehensive book aims to highlight the significance of ML for biomedical applications, offering a comprehensive overview of AI's past and present. It provides a solid foundation in ML concepts and clinical applications within cardiovascular medicine, focusing on predictive analytics and precision medicine. By elucidating how ML operates and its inherent limitations and strengths, the book empowers readers to harness its computational power to streamline workflows and enhance patient care. Whether you are a clinician or an engineer, this text serves as a valuable guide, offering insights into the areas of application of machine learning in cardiovascular research and aiding computer scientists and engineers in assessing the future impact of ML on cardiovascular medicine.

Weight: 914g
Dimension: 191 x 235 x 24 (mm)
ISBN-13: 9780128202739