Anemia Risk Prediction Model for Osteosarcoma Patients Post‐Chemotherapy Using Artificial Intelligence
Zhiping Su, Zhiwei Nong, Feihong Huang, Chengxing Zhou, Chaojie Yu · 2024
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Description
Zhiping Su and co-authors build an artificial intelligence model that predicts anemia after chemotherapy in bone cancer patients, in work from 2024. Anemia is a common and draining side effect of treatment. Early warning would let teams act before blood counts crash.
Clinical data came from 631 patients with osteosarcoma. Twenty-five factors differed between patients who did and did not develop anemia. Several methods, from regression to random forests, each built a risk model. Overlapping factors across methods formed a final combined model. A chart-style scoring tool displays the result for bedside use. A held-out patient set checked how well the model performs.
Catalog record
| CREATOR | Zhiping Su, Zhiwei Nong, Feihong Huang, Chengxing Zhou, Chaojie Yu |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 46 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |