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Updated: May 16, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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机器学习模型的开发和验证,用于在线预测心力衰竭的风险:基于常规血液测试及其衍生参数

Jianchen Pu1, Yimin Yao2, Xiaochun Wang2

  • 1Medical Laboratory, Nanxun Hospital of Traditional Chinese Medicine, Huzhou, China.

Frontiers in cardiovascular medicine
|April 1, 2025
PubMed
概括

机器学习模型将白细胞和中性粒细胞等关键血液指标确定为心力衰竭 (HF) 的危险因素. 一个随机森林模型准确地预测了HF,有助于早期干预和改善患者的治疗结果.

关键词:
随机的森林 随机的森林临床研究是临床研究.心脏衰竭是因为心脏衰竭.机器学习是机器学习.常规血液检测测试验 常规血液检测

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