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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.

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

Files

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