QoL Prediction for MSCP Risk using Machine Learning

This project predicts a person's Quality of Life (QoL) and potential risk for Musculoskeletal Chronic Pain (MSCP) using various health metrics, including mental and physical indicators. Built with Python and trained using Random Forest algorithms for both regression and classification.

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Features

• QoL Score Calculation (custom formula)
• QoL Classification (Low / Medium / High)
• Data Cleaning & Preprocessing
• User Input Interface
• Feature Importance Visualization
• Exported CSVs for future analysis

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Files

• QoL_Prediction.ipynb – Main notebook with code
• MLDATA.csv – Original dataset
• MLDATA_with_QoL.csv – Dataset with QoL score and class

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