Disease Predictor!
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Updated
Jul 31, 2024 - Python
Disease Predictor!
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
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