Predicts ICU patient survival using clinical and demographic features with logistic regression, decision trees, LASSO, and AIC-based model selection in R. Designed for healthcare decision-making with real-world medical insights drawn from 92K+ patient records.
r eda feature-selection biostatistics survival-analysis logistic-regression data-preprocessing predictive-modeling decision-tree r-programming lasso-regression clinical-data statistical-modeling classification-model mortality-prediction healthcare-analytics patient-survival icu-mortality aic-model-selection medical-analytics
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Updated
May 24, 2025