Multi-Objective Reinforcement Learning Based Healthcare Expansion Planning Considering Pandemic Events

Shuvo, Salman Sadiq; Symum, Hasan; Ahmed, Md Rubel; Yilmaz, Yasin; Zayas-Castro, Jose L.

doi:10.36227/techrxiv.19304030.v1

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Multi-Objective Reinforcement Learning Based Healthcare Expansion Planning Considering Pandemic Events

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posted on 10.03.2022, 23:13 authored by Salman Sadiq ShuvoSalman Sadiq Shuvo, Hasan Symum, Md Rubel Ahmed, Yasin Yilmaz, Jose L. Zayas-Castro

hospital admission, Disease Burden (DB), and Social Vulnerability Index (SVI) data between 2010-2019 from State Inpatient Databases (SID)

“HCUP State Inpatient Databases (SID). Healthcare Cost and
Utilization Project (HCUP). 2010-2017.” [Online]. Available: www.
hcup-us.ahrq.gov/sidoverview.jsp

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salmansadiq@usf.edu

ORCID of Submitting Author

0000-0003-1577-7341

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University of South Florida

Submitting Author's Country

United States of America

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in IEEE Journal of Biomedical and Health Informatics

Multi-Objective Reinforcement Learning Based Healthcare Expansion Planning Considering Pandemic Events

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Multi-Objective Optimization Deep Reinforcement Learning (DRL)Markov decision process (MDP)Healthcare capacity expansion Denial of Service

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Multi-Objective Reinforcement Learning Based Healthcare Expansion Planning Considering Pandemic Events

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Email Address of Submitting Author

ORCID of Submitting Author

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