Code for "Graph Neural Network on Electronic Health Records for Predicting Alzheimer’s Disease"

Automatic detection of plant diseases

ASD diagnosis on ABIDE I

CEHR-BERT: Incorporating temporal information from structured EHR data to improve prediction tasks

Sparrow AI - API for disease diagnostics

Implementation code of RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data accepted by Medical Image Analysis Journal (MedIA 2022)

Healthcare is an web application based on Machine Learning where a patient can detect disease and request for drug recommendation and take appointments.

Pytorch code for the paper "The color out of space: learning self-supervised representations for Earth Observation imagery"

Implementation of various machine learning algorithms to predict the disease from symptoms.

plant leaf diseases prediction using four different trained models named pytorch, TensorFlow, Keras and fastai

Pytorch code for estimating the presence of the West Nile Disease employing Graph Neural network

A GitHub repo for the generation of a network model to represent society with various components, the spread of the disease on this network, and the calculation of reproduction number on these simulation results.

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

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

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

💊 LLMs agent for medical

A Django based web application which takes in data provided by the user and predicts the disease the user doubts user has.

A Disease Outbreak Assistance system using machine learning and Artifitial Intelligence

diagnose disease faster than ever, well depends on your device I can't help !!!