用机器学习预测成年血细胞性淋巴细胞瘤的六个月死亡率:利用实验室数据的预后方法

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Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

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Jun Zhou1, Mingjun Xie1,2, Yongbin Ma3

  • 1Department of Laboratory Medicine, The First Affiliated Hospital With Nanjing Medical University, Nanjing, Jiangsu, China.

Annals of medicine
|October 3, 2025
PubMed
概括

这项研究开发了一种机器学习模型,用于预测成年血细胞淋巴细胞瘤 (HLH) 患者的六个月死亡率. 该模型准确地识别高风险个体,使得及时干预能够获得更好的结果.

关键词:
血细胞性淋巴细胞细胞分裂.机器学习是机器学习.预后预测预测的预测.六个月死亡率

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