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.

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

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

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

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.

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