Development and internal validation of a machine learning prediction model for postoperative hemorrhage following modified radical mastectomy for breast cancer
Weiyuan Chen, Xiaoxu Li, Xiaoman Zhang, Wenqi Shen · 2026
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Description
Weiyuan Chen and co-authors build a risk model for bleeding after breast surgery in a 2026 study. The surgery removes the breast and nearby lymph nodes to treat cancer. Heavy bleeding after surgery can force a second operation or a blood transfusion. Past risk tools were built for other operations and gave little insight into each person's risk.
The team reviewed records from more than eighteen hundred patients at one hospital. Five learning methods were trained on a set of risk factors picked from the data. A later group of patients, treated after the first group, served as a strict test set. The team also used a method that shows which factors drive each person's risk score.
Catalog record
| CREATOR | Weiyuan Chen, Xiaoxu Li, Xiaoman Zhang, Wenqi Shen |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 47 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |