Health analytics in business research: a literature review

Q Liu, M Yu, B Xiong, Z Cai, P Zhang… - Journal of Management …, 2023 - Taylor & Francis
Technological advances have enabled the collection of large quantities of valuable data for
health-related use. Particularly, a growing number of scholars are paying attention to the …

Interpretable policies and the price of interpretability in hypertension treatment planning

GGP Garcia, LN Steimle, WJ Marrero… - … & Service Operations …, 2024 - pubsonline.informs.org
Problem definition: Effective hypertension management is critical to reducing the
consequences of atherosclerotic cardiovascular disease, a leading cause of death in the …

A multi-objective constrained partially observable Markov decision process model for breast cancer screening

RK Helmeczi, C Kavaklioglu, M Cevik… - Operational …, 2023 - Springer
Breast cancer is a common and deadly disease, but it is often curable when diagnosed
early. While most countries have large-scale screening programs, there is no consensus on …

Optimization of active surveillance strategies for heterogeneous patients with prostate cancer

Z Zhang, BT Denton… - Production and …, 2022 - journals.sagepub.com
Prostate cancer (PCa) is common in American men with long latent periods, during which
the disease is asymptomatic. Active surveillance is a monitoring strategy commonly used for …

Partially Observable Reinforcement Learning for Blood Glucose Control Under Missing Data

H Yu, J Xiang, N Kong, L Luo, CC Yang - Available at SSRN 4647947 - papers.ssrn.com
In this era of artificial intelligence, industrial engineering can benefit greatly from a reliable
model for system dynamics when dealing with sequential decision problems under …