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Artificial Intelligence for Healthcare

Artificial Intelligence for Healthcare

Interdisciplinary Partnerships for Analytics-driven Improvements in a Post-COVID World

Eva Enns, David Scheinker, Sze-Chuan Suen

Cambridge University Press
Publication date : 2022-05-05

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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.

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About the book

Author

Eva Enns , David Scheinker , Sze-chuan Suen

Imprint

Cambridge University Press

Collection

n.c

Publication date

2022-05-05

Pages

n.c

Print ISBN

9781108836739

Language

English

Ebook informations

EAN PDF

9781108871808

Price

£77.02

Copy count 0

Print count 0

File size 4731 Ko

Informations accessibility

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About author(s)

Eva Enns

David Scheinker

Sze-chuan Suen

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