This project focuses on data preprocessing and epilepsy seizure prediction using the CHB-MIT EEG dataset. It includes steps like data cleansing, feature extraction, and handling imbalanced datasets, aimed at improving the accuracy of seizure prediction.

A curated dataset of Indian medicines, organized by brand. Essential for healthcare research and pharmaceutical analysis.

The Helios FHIR Server is an implementation of the HL7® FHIR® standard, built in Rust for high performance and optimized for clinical analytics workloads.

Machine learning system for predicting genetic disorders using genomic, clinical, and demographic data. Implements robust preprocessing, feature selection, and multi-model classification (RF, XGBoost, LightGBM, CatBoost) with cross-validation to support early, data-driven genetic risk assessment.

EDA on medical insurance data using Python and R to explore how age, BMI, smoking, and other factors influence claim amounts and health risk profiles.

MCP server providing healthcare analytics capabilities for Smartsheet, including clinical note summarization, patient feedback analysis, and research impact assessment

Heart disease is still a major worldwide health concern since it is one of the leading causes of mortality and morbidity in India. Early and precise diagnosis of heart disease can save lives and reduce medical costs. Conventional diagnostic methods, however, are often expensive and need specific equipment and expertise.

Hospital database system built with Oracle APEX and SQL, featuring an interactive dashboard for real-time insights into patient distribution and doctor availability. Designed to optimize resource management and support hospital administration in data-driven decision-making.

HealthWeave - AI-Powered Health Data Synthesis & Clinical Insights Platform

medical appointments No-Show classifier

# Notes MCPAn MCP server that connects with your Apple Notes on macOS. 📓 This tool allows you to manage your notes efficiently with simple commands. 🛠️

An interactive Tableau dashboard promoting nutritional health through the exploration of micronutrients

An interactive dashboard built with Dash (Plotly), Pandas, and Bootstrap for visualizing healthcare data. This tool helps track patient demographics, medical conditions, billing amounts, insurance comparisons, and admission trends. It also supports uploading custom healthcare datasets for dynamic analysis.

This project forecasts monthly healthcare call volumes using time-series modeling (ARIMA), optimizing call center staffing and reducing wait times. Features include trend analysis, model tuning, and an interactive dashboard for real-time insights.

“Data analysis and visualization of U.S. hospital performance and patient feedback using CMS data, delivering actionable insights via interactive dashboards.”

Heart Disease Analysis Power BI Dashboard A data-driven Power BI report analyzing heart disease patient data to uncover insights by gender, age, and health metrics. Built using Power BI, Excel, and DAX to demonstrate data modeling, visualization, and business intelligence storytelling for healthcare analytics.

Fairness-aware ICU mortality prediction using MIMIC-III data and Group-Aware SMOTE

Dataset release in association with 10.3389/fimag.2025.1547166

Natural language interface for US Census data built with Claude AI, DuckDB & MCP. Transform demographic queries from 6-week $50K consulting into instant analysis. Features: HIPAA-ready security, SQL injection protection, 82%+ test coverage. Built for healthcare strategy teams. TypeScript • Next.js • Express • Free to fork! 🚀

End-to-end data science project predicting clinical trial completion using AACT data. Includes EDA, feature engineering, ML models (LogReg, XGBoost), SHAP interpretability, and Streamlit deployment.