Executed complex SQL queries to assess patient health metrics, focusing on BMI and glucose levels. Improved data integrity and query performance through schema enhancements and indexing. Created patient views and ranked data by glucose levels for insightful analysis.
This project analyzes health and lifestyle factors influencing heart attack risk using statistical methods and machine learning, with Ridge Regression identified as the best predictive model.
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