Artificial Intelligence for Healthcare - Interdisciplinary Partnerships for Analytics-driven Improvements in a Post-COVID World (Hardcover, New Ed)

Healthcare has recently seen numerous exciting applications of artificial intelligence, industrial engineering, and operations research. This book, designed to be accessible to a diverse audience, provides an overview of interdisciplinary research partnerships that leverage AI, IE, and OR to tackle societal and operational problems in healthcare. The topics are drawn from a wide variety of disciplines, ranging from optimizing the location of AEDs for cardiac arrests to data mining for facilitating patient flow through a hospital. These applications highlight how engineering has contributed to medical knowledge, health system operations, and behavioral health. Chapter authors include medical doctors, policy-makers, social scientists, and engineers. Each chapter begins with a summary of the health care problem and engineering method. In these examples, researchers in public health, medicine, and social science as well as engineers will find a path to start interdisciplinary collaborations in health applications of AI/IE/OR.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Release date:	May 2022
Editors:	Sze-chuan Suen • David Scheinker • Eva Enns
Dimensions:	235 x 157 x 17mm (L x W x T)
Format:	Hardcover
Pages:	350
Edition:	New Ed
ISBN-13:	978-1-108-83673-9
Categories:	Books > Professional & Technical > Technology: general issues > Engineering: general Books > Medicine > General issues > Medical equipment & techniques > General Books > Professional & Technical > Mechanical engineering & materials > Production engineering > General Promotions
LSN:	1-108-83673-9
Barcode:	9781108836739

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