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Artificial Intelligence for Healthcare: Interdisciplinary Partnerships for Analytics-driven Improvements in a Post-COVID World New edition
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
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2022. gada 5. maijs |
| ISBN13 | 9781108836739 |
| Izdevēji | Cambridge University Press |
| Lapas | 204 |
| Izmēri | 237 × 157 × 19 mm · 438 g |
| Valoda | Angļu |
| Redaktors | Enns, Eva (University of Minnesota) |
| Redaktors | Scheinker, David (Stanford University, California) |
| Redaktors | Suen, Sze-chuan (University of Southern California) |