Disease Prediction based on Symptoms.

**A end to end project - Powered by Django and Machine Learning** - This project aims to provide a web platform to predict the occurrences of disease on the basis of various symptoms. The user can select various symptoms and can find the diseases and consult to the doctor online.

Automatic detection of plant diseases

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

Heart Disease prediction using 5 algorithms

Multi-modal Graph learning for Disease Prediction (IEEE Trans. on Medical imaging, TMI2022)

Final Year Project Diseases Prediction System through Machine Learning. Disease Prediction system with code and documents

AI-based voice-assisted Contact Center for assisting Farmers for their problems.

The Labinator Medical Symptom Checker helps you understand the possible causes of symptoms in children and adults. It uses the USWDS UI components and programmed in JavaScript.

Healthcare system to predict Diseases based on patient symptoms

A menu based multiple chronic disease detection system which will detect if a person is suffering from a severe disease by taking an essential input image.

This repository houses machine learning models and pipelines for predicting various diseases, coupled with an integration with a Large Language Model for Diet and Food Recommendation. Each disease prediction task has its dedicated directory structure to maintain organization and modularity.

This Project(Not Responsive) is predict the disease based on your Symptoms .Here ,the I use Html, CSS, JavaScript ,PHP ,MySql ,JQuery. .Before Enter to the project at first insert the database into the sql database .Database file is given inside the project . For admin pannel : Username: admin Password: Ab123456 For User pannel : Username: user …

NeuroGNN is a state-of-the-art framework for precise seizure detection and classification from EEG data. It employs dynamic Graph Neural Networks (GNNs) to capture intricate spatial, temporal, semantic, and taxonomic correlations between EEG electrode locations and brain regions, resulting in improved accuracy. Presented at PAKDD '24.

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

Plants health monitoring through iot and plants disease detection using machine learning in flutter

Sparrow AI - API for disease diagnostics

Designed web app employs the Streamlit Python library for frontend design and communicates with backend ML models to predict the probability of diseases. It's capable of predicting whether someone has Diabetes, Heart issues, Parkinson's, Liver conditions, Hepatitis, Jaundice, and more based on the provided symptoms, medical history, and results.

Diseases Prediction System though Machine Learning with code and documents

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