https://github.com/karimosman89/health-risk-assessment

Predict health risks based on patient data.Create a machine learning model that predicts health risks (like diabetes or heart disease) based on patient data.Help healthcare providers identify at-risk patients for early intervention.
https://github.com/karimosman89/health-risk-assessment

ehr-data pandas python scikit-learn

Last synced: about 2 months ago
JSON representation

Predict health risks based on patient data.Create a machine learning model that predicts health risks (like diabetes or heart disease) based on patient data.Help healthcare providers identify at-risk patients for early intervention.

• Host: GitHub
• URL: https://github.com/karimosman89/health-risk-assessment
• Owner: karimosman89
• License: mit
• Created: 2024-10-31T12:33:06.000Z (2 months ago)
• Default Branch: main
• Last Pushed: 2024-11-05T13:58:35.000Z (2 months ago)
• Last Synced: 2024-11-05T14:51:17.244Z (2 months ago)
• Topics: ehr-data, pandas, python, scikit-learn
• Language: Jupyter Notebook
• Homepage:
• Size: 7.81 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Health Risk Assessment Tool

This project predicts health risks based on patient data.

## Overview

The model helps identify patients at risk for early intervention.

## Dataset

- Source: [Pima Indians Diabetes Database](https://www.kaggle.com/datasets/uciml/pima-indians-diabetes-database)

## Setup

Install dependencies:

     pip install -r requirements.txt

## Usage

- Run the preprocessing script:

         python src/preprocess.py

  

- Train the model:

           python src/model.py