Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

Appearance settings

AjayDXavier/MSCP-Analysis

Open more actions menu

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
4 Commits
 
 
 
 
 
 

Repository files navigation

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

About

ML model to calculate risk of MSCP(musculo skeletal chest pain)

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages

Morty Proxy This is a proxified and sanitized view of the page, visit original site.