shobhitsrivastava-ds/ML-MT-WebApp
This project is all about a Machine Learning based Medical Test web app which makes predictions about various diseases using the concept of machine learning.
This web application helps healthcare practitioners quickly assess the likelihood of various diseases like Malaria, Pneumonia, Diabetes, and several cancers. You input relevant patient data, such as medical history or diagnostic images, and the app provides predictions on potential conditions. This tool is designed for medical professionals, clinic staff, or researchers who need a quick, preliminary screening for common diseases.
215 stars. No commits in the last 6 months.
Use this if you need a rapid, preliminary assessment of a patient's risk for specific diseases based on their data, without requiring a deep dive into complex medical records.
Not ideal if you require definitive diagnoses, comprehensive medical decision support, or predictions for diseases not included in its current capabilities.
Stars
215
Forks
124
Language
HTML
License
MIT
Category
Last pushed
Nov 22, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/mlops/shobhitsrivastava-ds/ML-MT-WebApp"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
advikmaniar/ML-Healthcare-Web-App
This is a Machine Learning web app developed using Python and StreamLit. Uses algorithms like...
sohammanjrekar/Multiple-Disease-Prediction-Webapp
Designed web app employs the Streamlit Python library for frontend design and communicates with...
gauravjain2/heart-failure-prediction
A WebApp that predicts the likelihood of occurrence of Death Event due to Heart Failure. It into...
Melanee-Melanee/Melanee-Deployments
Deployed medical apps on streamlit
sjapanjots/Multi-class-classificational-Disease-Prediction-Models-
A Streamlit-based web application that predicts Diabetes, Heart Disease, and Parkinson’s Disease...