Multiple-Disease-Prediction-Webapp and Heart-Disease

These are competitors—both are Streamlit-based web applications for disease prediction, with A offering broader multi-disease coverage while B focuses narrowly on heart disease prediction, so a user would select one based on their specific diagnostic scope needs.

Maintenance 2/25
Adoption 8/25
Maturity 8/25
Community 20/25
Maintenance 0/25
Adoption 4/25
Maturity 9/25
Community 14/25
Stars: 52
Forks: 31
Downloads:
Commits (30d): 0
Language: Python
License:
Stars: 8
Forks: 3
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
No License Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About Multiple-Disease-Prediction-Webapp

sohammanjrekar/Multiple-Disease-Prediction-Webapp

Designed web app employs the Streamlit Python library for frontend design and communicates with backend ML models to predict the probability of diseases. It's capable of predicting whether someone has Diabetes, Heart issues, Parkinson's, Liver conditions, Hepatitis, Jaundice, and more based on the provided symptoms, medical history, and results.

About Heart-Disease

Prem07a/Heart-Disease

"Coding a Streamlit web app for heart disease prediction using a trained machine learning model."

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