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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 ...
RMD Open

Sustained exposure to low- and high-income status and risk of all-cause mortality in individuals with rheumatoid arthritis: a population-based retrospective cohort stud…

Objective Although socioeconomic status has been linked to various rheumatoid arthritis (RA)-related outcomes, evidence on ...