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healthcare-analytics

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CHB-MIT-data-preprocessing-and-prediction

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.

  • Updated Nov 22, 2023
  • Python

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.

  • Updated Jun 15, 2024
  • Jupyter Notebook

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.

  • Updated Oct 11, 2024
  • PLSQL

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.

  • Updated Apr 16, 2025
  • Jupyter Notebook

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! 🚀

  • Updated Nov 25, 2025
  • TypeScript

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.

  • Updated Sep 24, 2025
  • Python

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.

  • Updated Nov 3, 2025

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