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Artificial Intelligence for Healthcare: Interdisciplinary Partnerships for Analytics-driven Improvements in a Post-COVID World New edition
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Artificial Intelligence for Healthcare: Interdisciplinary Partnerships for Analytics-driven Improvements in a Post-COVID World
This overview of interdisciplinary research partnerships applying AI, IE, and OR in societal and operational problems in a variety of healthcare settings highlights how engineering has contributed to medical knowledge, health system operations, and behavioral health. Chapter authors include doctors, policy-makers, social scientists, and engineers.
350 pages, Worked examples or Exercises
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | May 5, 2022 |
| ISBN13 | 9781108836739 |
| Publishers | Cambridge University Press |
| Pages | 204 |
| Dimensions | 237 × 157 × 19 mm · 438 g |
| Language | English |
| Editor | Enns, Eva (University of Minnesota) |
| Editor | Scheinker, David (Stanford University, California) |
| Editor | Suen, Sze-chuan (University of Southern California) |
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