Multi_Disease_Predictor and Multiple-Disease-Prediction-Webapp
Both are standalone Streamlit-based disease prediction webapps that solve the same problem (multi-disease risk assessment) using separate ML models, making them direct competitors rather than complementary or related tools.
About Multi_Disease_Predictor
venugopalkadamba/Multi_Disease_Predictor
A Machine Learning and Deep Learning based webapp used to predict multiple diseases.
This web application helps medical professionals or individuals quickly assess the likelihood of several common diseases. You input patient data or relevant health metrics and receive a prediction for conditions like Diabetes, Breast Cancer, Heart Disease, Kidney Disease, Liver Disease, Malaria, and Pneumonia. It's designed for healthcare practitioners or those interested in preliminary health insights.
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.
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