Artificial Intelligence for Healthcare Interdisciplinary Partnerships for Analytics driven Improvements in a Post COVID World by Sze-Chuan Suen; David Scheinker; Eva Enns 1108836739 9781108836739

Artificial Intelligence for Healthcare Interdisciplinary Partnerships for Analytics driven Improvements in a Post COVID World Sze-Chuan Suen (Editor) – Ebook Instant Download/Delivery ISBN(s): 9781108836739,1108836739

Product details:

• ISBN 10:1108836739
• ISBN 13:9781108836739
• Author: Sze-chuan Suen (editor), David Scheinker (editor), Eva Enns (editor)

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.

Table contents:

1 Artificial Intelligence and Public Health: Opportunities Abound
2 How AI Can Help Depression Treatment: Designing Patient-Specific Adaptive Intervention
3 Personalizing Medicine: Estimating Heterogeneous Treatment Effects
4 Proceed with Care: Integrating Predictive Analytics with Patient Decision Making
5 Using Algorithmic Solutions to Address Gatekeeper Training Issues for Suicide Prevention on Colleg
6 Optimizing Defibrillator Deployment
7 Optimization of Biomarker-Based Prostate Cancer Screening Policies
8 Analytics-Driven Capacity Management: Principles and Practical Lessons from Projects at Three Hosp
9 Practical Advice for Clinician-Engineer Partnerships for the Use of

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