MIMIC-IV Lab Events Subset - Preprocessed for Data Normalization Analysis.xlsx

This updated version includes a Python script (glucose_analysis.py) that performs statistical evaluation of the glucose normalization process described in the associated thesis. The script supports key analyses, including normality assessment (Shapiro–Wilk test), variance homogeneity (Levene’s test), mean comparison (ANOVA), effect size estimation (Cohen’s d), and calculation of confidence intervals for the mean difference. These results validate the impact of Min-Max normalization on clinical data structure and usability within CDSS workflows. The script is designed to be reproducible and complements the processed dataset already included in this repository.