clinical-analysis

AI-powered hospital management system with MedGemma VLM for automated chest disease analysis, role-based workflows (Nurse/Doctor/Admin), and Wavelet-HAT super-resolution for CXR enhancement.

Advanced machine learning system for diabetes risk prediction using clinical biomarkers and patient health data

end-to-end survival analysis on 15,054 breast cancer patients using Kaplan–Meier, Cox PH, and Weibull AFT models to identify prognostic factors and evaluate survival outcomes

SQL-based analysis of hospital operations, patient trends, and financial performance.

An end-to-end data science project analyzing thyroid cancer recurrence using Python. Features rigorous statistical testing (Chi-square, Kruskal-Wallis) and predictive modeling with XGBoost and Random Forest to evaluate clinical outcomes.

Admission-level analysis of time to first antibiotic administration using MIMIC-IV demo data