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Comparative Evaluation of Explainable Machine Learning Versus Linear Regression for Predicting County-Level Lung Cancer Mortality Rate in the United States

This study applied three models—random forest (RF), gradient boosting regression (GBR), and linear regression (LR)—to predict county-level LC mortality rates across the United States. Model ...
BMJ Global Health

Ambient temperature variations and antimicrobial resistance: a multicountry analysis of non-linear relationships and temperature thresholds

Background Antimicrobial resistance (AMR) is an escalating global health crisis being worsened by climate change. Studies of ...