A machine learning model for grade 4 lymphopenia prediction during pelvic radiotherapy in patients with cervical cancer
Background/purposeSevere lymphopenia during pelvic radiotherapy (RT) predicts poor survival in patients with cervical cancer. However, the risk of severe lymphopenia has not been well predicted. We developed a machine learning model using clinical and dosimetric information to predict grade 4 (G4) l...
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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Frontiers Media S.A.
2022-09-01
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| シリーズ: | Frontiers in Oncology |
| 主題: | |
| オンライン･アクセス: | https://www.frontiersin.org/articles/10.3389/fonc.2022.905222/full |
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