TY  - BOOK
AU  - Suen,Sze-chuan
AU  - Scheinker,David
AU  - Enns,Eva
TI  - Artificial intelligence for healthcare: interdisciplinary partnerships for analytics-driven improvements in a Post-COVID world 
SN  - 9781108872188 (ebook)
AV  - R858 .A768 2022
U1  - 362.10285 23/eng/20211202
PY  - 2022///
CY  - Cambridge
PB  - Cambridge University Press
KW  - Medical informatics
KW  - Medical care
KW  - Data processing
KW  - Artificial intelligence
KW  - Medical applications
N1  - Title from publisher's bibliographic system (viewed on 07 Apr 2022)
N2  - 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
UR  - https://doi.org/10.1017/9781108872188
ER  -