Disease Predictor!

💊 LLMs agent for medical

Code for the paper "A Novel Hyperparameter Search Approach for Accuracy and Simplicity in Disease Prediction Risk Scoring".

An interpretable end-to-end CNN for disease progression modeling that predicts late AMD onset (MICCAI 2024)

Enhancing Patient Care through AI-Driven Disease Prediction

Model trained for educational purposes only; usage subject to terms and conditions.

🍃Upload a photo of a plant to see how the model classifies its status!🍃

Skin lesion detection app, based on CNN model trained on MSLD v2.0 dataset for detecting: Monkeypox, Chickenpox, Cowpox, HFMD, Measles and healthy.

A custom cross encoder used to predict the diseases from an input of symptoms

A simple web app for prediction of diseases based on inputs from multiple vitals.

Disease Prediction Model using SVM, GaussianNB and Random Forest Classifiers.

Finding a cure through using Python libraries and dependencies for support.

MPH Capstone Data Management & Analysis

CEL Continual Learning

Automatic detection of plant diseases

LiteralKG is a novel Attributed Knowledge Graph Embedding Model developed by NS Lab @ CUK based on pure PyTorch backend.

This project proposes a web application for the users to identify the disease they have been infected with based on the symptoms they have been suffering with a given confidence score. It also includes the capability of recommending home remedies as a treatment for the disease that the user may be infected with.

T2DM risk assessment