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.
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.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Introduction Sze-chuan Suen, Eva Enns and David Scheinker; 1. Artificial Intelligence and Public Health: Opportunities Abound Sheldon H. Jacobson and Janet A. Jokela; Part I. Personalized Medicine: 2. How AI Can Help Depression Care - Designing Patient-Specific Adaptive Monitoring Algorithms Shan Liu and Shuai Huang; 3. Personalizing Medicine -Estimating Heterogeneous Treatment Effects Tony Duan and Sanjay Basu; 4. Proceed with Care - Integrating Predictive Analytics with Patient Decision-Making Hamsa Bastani and Pengyi Shi; Part II. Optimizing Health Care Systems: 5. Using Algorithmic Solutions to Address Gatekeeper Training Issues on College Campuses Anthony Fulginiti, Aida Rahmattalabi, Jarrod Call, Phebe Vayanos, and Eric Rice; 6. Optimizing Defibrillator Deployment Timothy C.Y. Chan and Christopher L.F. Sun; 7. Optimization of Biomarker-Based Prostate Cancer Screening Policies Christine Barnett and Brian Denton; 8. Analytics-Driven Hospital Resource Management - Principles and Practical Lessons from Projects at Three Hospitals Margaret L. Brandeau and David Scheinker; 9. Practical advice for clinician-engineer partnerships for the use of AI, optimization, and analytics for healthcare delivery David Scheinker, Robert A. Harrington, and Fatima Rodriguez.
Introduction Sze-chuan Suen, Eva Enns and David Scheinker; 1. Artificial Intelligence and Public Health: Opportunities Abound Sheldon H. Jacobson and Janet A. Jokela; Part I. Personalized Medicine: 2. How AI Can Help Depression Care - Designing Patient-Specific Adaptive Monitoring Algorithms Shan Liu and Shuai Huang; 3. Personalizing Medicine -Estimating Heterogeneous Treatment Effects Tony Duan and Sanjay Basu; 4. Proceed with Care - Integrating Predictive Analytics with Patient Decision-Making Hamsa Bastani and Pengyi Shi; Part II. Optimizing Health Care Systems: 5. Using Algorithmic Solutions to Address Gatekeeper Training Issues on College Campuses Anthony Fulginiti, Aida Rahmattalabi, Jarrod Call, Phebe Vayanos, and Eric Rice; 6. Optimizing Defibrillator Deployment Timothy C.Y. Chan and Christopher L.F. Sun; 7. Optimization of Biomarker-Based Prostate Cancer Screening Policies Christine Barnett and Brian Denton; 8. Analytics-Driven Hospital Resource Management - Principles and Practical Lessons from Projects at Three Hospitals Margaret L. Brandeau and David Scheinker; 9. Practical advice for clinician-engineer partnerships for the use of AI, optimization, and analytics for healthcare delivery David Scheinker, Robert A. Harrington, and Fatima Rodriguez.
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