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Artificial Intelligence for Healthcare
Sze-chuan SuenDavid ScheinkerEva Enns
其他書名
Interdisciplinary Partnerships for Analytics-driven Improvements in a Post-COVID World
出版Cambridge University Press, 2022-05-05
主題Business & Economics / Operations ResearchComputers / Database Administration & ManagementComputers / Data Science / Data AnalyticsComputers / Operating Systems / GeneralComputers / Social AspectsMedical / GeneralMedical / EpidemiologyMedical / Health Care DeliveryMedical / Public HealthTechnology & Engineering / General
ISBN11088367399781108836739
URLhttp://books.google.com.hk/books?id=jOViEAAAQBAJ&hl=&source=gbs_api
EBookSAMPLE
註釋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.