Study on diagnostic models for insomnia and gastralgia with Liver-Spleen Disharmony Syndrome based on machine learning
Enshi Lu, Xiaoliang Zhao, Hongjiao Li, Xuehua Sun, Liyun He · 2026
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Description
Enshi Lu and co-authors build learning models to diagnose a traditional Chinese syndrome in sleeplessness and stomach pain in a 2026 study. The syndrome, liver-spleen disharmony, guides herbal care, yet its criteria vary by doctor. A data-driven rule could steady diagnosis.
Structured scales captured symptoms from 575 patients with insomnia, stomach pain, or both. Six algorithms competed to call the syndrome from those symptoms. A decision tree method won clearly on accuracy and balance of errors. Low mood or irritability ranked as the top clue, ahead of belly fullness and rib-side pain. The model offers clinics a shared yardstick for this syndrome.
Catalog record
| CREATOR | Enshi Lu, Xiaoliang Zhao, Hongjiao Li, Xuehua Sun, Liyun He |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 38 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |