ML-Healthcare-Web-App and Heart-Disease
These two tools are competitors because both offer Streamlit web applications for disease risk assessment, with A providing a broader range of machine learning algorithms for multi-disease prediction, while B focuses specifically on heart disease prediction.
About ML-Healthcare-Web-App
advikmaniar/ML-Healthcare-Web-App
This is a Machine Learning web app developed using Python and StreamLit. Uses algorithms like Logistic Regression, KNN, SVM, Random Forest, Gradient Boosting, and XGBoost to build powerful and accurate models to predict the status of the user (High Risk / Low Risk) with respect to Heart Attack and Breast Cancer.
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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