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Updated: May 20, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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基于机器学习的预测艾滋病患者的死亡风险,艾滋病相关的共同疾病或症状

Yiwei Chen1, Kejun Pan2, Xiaobo Lu2

  • 1Department of Epidemiology and Health Statistics, School of Public Health, Xinjiang Medical University, Urumqi, Xinjiang, China.

Frontiers in public health
|March 27, 2025
PubMed
概括

一个XGBoost模型有效地预测了伴随疾病的获得性免疫缺陷综合征 (AIDS) 患者的死亡风险,有助于早期干预. 关键预测因素包括血红蛋白和特定感染,改善高风险个体的临床决策.

关键词:
艾滋病 艾滋病 艾滋病是什么?艾滋病病毒 艾滋病病毒 艾滋病病毒在XGBoost中使用.机器学习是机器学习.预测模型 预测模型

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