机器学习模型的开发和验证,以预测乳腺癌中中度至重度的癌症相关疲劳

Zhen Liu1,2, Guoshuang Shen2, Miaozhou Wang2

  • 1Research Center for High Altitude Medicine, Key Laboratory of High Altitude Medicine (Ministry of Education), Key Laboratory of Application and Foundation for High Altitude Medicine Research in Qinghai Province (Qinghai-Utah Joint Research Key Lab for High Altitude Medicine), Laboratory for High Altitude Medicine of Qinghai Province, Qinghai University, Xining, China.

概括

这项研究开发了一种机器学习模型,用于预测乳腺癌幸存者的癌症相关疲劳 (CRF). XGBoost模型准确地识别了长期CRF高风险的患者,有助于个性化护理.