Predictive Analytics for Healthcare using Statistical Analysis Technique

The healthcare business creates massive volumes of data, which, when properly evaluated, can provide important insights for improving the results of medical treatment, optimizing management of facilities, and streamlining decision-making procedures. This project investigates the prediction of trends in the healthcare sector, using statistical analytical approaches to forecast crucial healthcare events like disease outbreaks, patient readmissions, and treatment efficacy. The project uses historical health data, such as patient demographics, medical records, and clinical test results, to predict future trends and identify high-risk patient populations. This study's goal is to contribute to more efficient healthcare delivery, early intervention measures, and enhanced patient care, ultimately lowering costs and enhancing overall healthcare quality.