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Updated: Mar 10, 2026

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
09:33

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India

Published on: December 23, 2022

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预测索马里家庭烟雾暴露风险的机器学习方法:分析与SHAP解释

Mohamed Abdirahim Omar1, Yahye Sheikh Abdulle Hassan2, Abdirasak Sharif Ali3,4

  • 1Faculty of Health Science, Salaam University, Mogadishu, Somalia.

Environmental health insights
|March 9, 2026
PubMed
概括

家庭烟雾暴露风险 (SER) 影响了70%的索马里家庭,城市和富裕人口具有悖论性地显示出更高的风险. 机器学习模型将地理和社会经济因素确定为关键预测因素,为目标干预提供信息.

关键词:
这就是 SHAP SHAP 的意思.索马里索马里索马里索马里卫生公平性健康公平性家庭空气污染 家庭空气污染机器学习是机器学习.暴露于烟雾中的风险

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