Partially observable collaborative model for optimizing personalized treatment selection

DOI10.1016/j.ejor.2023.03.014OpenAlexW4324030852MaRDI QIDQ6112877

Jue Gong, Shan Liu

Publication date: 10 July 2023

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2023.03.014

zbMATH Keywords

medical decision makingOR in medicinepartially observable Markov decision processdisease progression modeling

Mathematics Subject Classification ID

Operations research and management science (90Bxx)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Evaluation of breast cancer mammography screening policies considering adherence behavior
• Analysis of depression trajectory patterns using collaborative learning
• Dynamic multi-appointment patient scheduling for radiation therapy
• Stratified breast cancer follow-up using a continuous state partially observable Markov decision process
• Inverse optimization for assessing emerging technologies in breast cancer screening
• Dynamic Forecasting and Control Algorithms of Glaucoma Progression for Clinician Decision Support
• The Optimal Time to Initiate HIV Therapy Under Ordered Health States
• Least squares quantization in PCM
• OR Forum—A POMDP Approach to Personalize Mammography Screening Decisions
• Optimal M-Switch Surveillance Policies for Liver Cancer in a Hepatitis C–Infected Population
• Patient-Type Bayes-Adaptive Treatment Plans
• Prioritizing Hepatitis C Treatment in U.S. Prisons
• A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains