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.
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.
This web application helps healthcare practitioners quickly assess the likelihood of various diseases like Diabetes, Heart issues, or Parkinson's. You input a patient's symptoms, medical history, and test results, and it provides a probability of them having specific conditions. This tool is for doctors, nurses, or other medical professionals looking for an initial diagnostic aid.
About Heart-Disease
Prem07a/Heart-Disease
"Coding a Streamlit web app for heart disease prediction using a trained machine learning model."
This tool helps healthcare practitioners or individuals quickly assess the likelihood of heart disease. You input a patient's health metrics like age, sex, cholesterol, and blood pressure, and it outputs a prediction of whether heart disease is likely. It's designed for medical professionals, health consultants, or individuals interested in an initial health screening.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work