Construction of a risk prediction model for postoperative deep vein thrombosis in colorectal cancer patients based on machine learning algorithms
Xin Liu, Xingming Shu, Yejiang Zhou, Yifan Jiang · 2024
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Description
Xin Liu and co-authors build a machine learning warning system for blood clots after colon cancer surgery, in a 2024 study. Deep vein thrombosis in the legs strikes up to forty percent of these patients after surgery and can travel to the lungs. The team gathered records for over four hundred patients treated from 2021 to 2024, covering blood tests, body measures, other diseases, tumor stage, and surgical details.
Because clots were the minority outcome, they balanced the data synthetically, then let three feature-picking methods nominate the strongest predictors before training rival models. The best model sorts patients by risk so staff can give blood thinners, stockings, or closer watching to those who need them most. A validated risk score turns a feared complication into a managed one.
Catalog record
| CREATOR | Xin Liu, Xingming Shu, Yejiang Zhou, Yifan Jiang |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 38 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |