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Updated: Jun 23, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
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评估老年住院癌症患者营养不良的预测模型:一种机器学习方法

Ran Duan1, QingYuan Li2, Qing Xiu Yuan3

  • 1Oncology Department, The First Affiliated Hospital of Chengdu Medical College and Clinical Medical College, Chengdu Medical College, Chengdu, 610500, China; Clinical Key Speciality (Oncology Department) of Sichuan Province, The First Affiliated Hospital of Chengdu Medical College, Chengdu, 610500, China.

Geriatric nursing (New York, N.Y.)
|June 16, 2024
PubMed
概括

营养不良影响近一半的老年癌症患者. 一个XGBoost模型使用年龄,日常生活活动,白蛋白和身体质量指数准确预测营养不良风险,从而使早期干预成为可能.

关键词:
机器学习 机器学习恶性瘤是一种恶性瘤.营养状态 营养状况预测模型的预测模型.风险因素 风险因素

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