Optimizing the dynamic treatment regime of outpatient rehabilitation in patients with knee osteoarthritis using reinforcement learning.

Journal: Journal of neuroengineering and rehabilitation

PMID: 40340812

Abstract

BACKGROUND: Knee osteoarthritis (KOA) is a prevalent chronic disease worldwide, and traditional treatment methods lack personalized adjustment for individual patient differences and cannot meet the needs of personalized treatment.

Authors

Sijia Liu

These authors contributed equally to this study and Dr. Li is now working at IBM; Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA; Department of Computer Science and Engineering, University at Buffalo, Buffalo, NY, USA.
Jiawei Luo
Chengqi He

Institute of Orthopedics, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China. hxkfhcq2015@126.com.

Keywords

Aged Algorithms Deep Learning Female Humans Male Middle Aged Osteoarthritis, Knee Outpatients Reinforcement, Psychology Surveys and Questionnaires

External Resources

View on PubMed Access via DOI PubMed (40340812)

Optimizing the dynamic treatment regime of outpatient rehabilitation in patients with knee osteoarthritis using reinforcement learning.

Abstract

Authors

Keywords

External Resources

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