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Updated: Jan 11, 2026

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可解释的机器学习用于预测艾滋病毒/结核病联合感染的临床结果:一项比较后期研究

Qingfeng Sun1, Kai Zhang2, Yuanlong Xu2

  • 1Department of Tuberculosis, Guangxi Zhuang Autonomous Region Chest Hospital, No 8, Yangjiaoshan Road, Liuzhou, Guangxi, 545005, P. R. China.

BMC infectious diseases
|November 14, 2025
PubMed
概括

机器学习准确地预测了艾滋病毒和结核病联合感染的患者的结果. 该工具有助于识别高风险个体,以提高治疗成功率.

关键词:
艾滋病毒/结核病同时感染.机器学习 机器学习追溯研究是一项回顾性研究.这就是 SHAP SHAP 的意思.结核病是一种疾病.

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