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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 ...
The American Journal of Managed Care

28-Day Mortality Predicted by Machine Learning in Patients With CRC

Critically ill older patients with colorectal cancer (CRC) had their 28-day mortality predicted using machine learning algorithms. Machine learning algorithms were able to be used to predict the ...