Flask based web app with five machine learning models on the 10 most common disease prediction, covid19 prediction, breast cancer, chronic kidney disease and heart disease predictions with their symptoms as inputs or medical report (pdf format) as input.

Classification of Kidney disease using Sklearn and Custom ML Algorithms

I made a model which can detect if a person has Chronic Kidney Disease by inputting some data. I also made a WebApp using Heroku

Includes the full data report with SQL queries, pdf presentation, and original dataset file

Enhancing Chronic Kidney Disease Prediction through Data Science methdologies

Chronic kidney disease prediction done using Artificial Neural Network.

Chronic Risk Prediction Web App 🌐🔍. Harnessing Random Forest, SVC, and Decision Tree classifiers, it offers predictions on chronic health risks. Seamlessly integrated as a microservice, it fetches input from an image using OCR which it receives from external server.

Ensemble Learning

NC-Scorer is a tool designed to standardize and automate the assessment of candidate gene variants identified through genetic sequencing for Chronic Kidney Disease (CKDu) research. Utilizing the Nephro Candidate Score (NCS), it accelerates the discovery of genetic associations in CKD.