Preventing relapse in ulcerative colitis remission maintenance: machine learning prediction and reinforcement-learning herbal prescription optimization with external validation
Yan Li, Jie Liu, Jian Kang · 2026
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Description
Yan Li, Jie Liu, and Jian Kang combine prediction with treatment planning in 2026 for ulcerative colitis kept in remission by herbal medicine. The hard part is tuning the dose over time: too little invites a flare, too much treats a quiet gut for no gain. The team aimed to forecast relapse over a year and guide dose changes visit by visit.
They trained seven models on over a thousand patients, then checked the best on a fresh group. Simple logistic regression won, and sticking to the plan was the strongest shield against relapse. A learning policy that raised dose as a gut marker rose beat the choices doctors had made, on model-based scoring. The authors urge real trials before clinic use.
Catalog record
| CREATOR | Yan Li, Jie Liu, Jian Kang |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 61 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |