disease-prediction 开源项目推荐（634 个）

anujdutt9 /Disease-Prediction-from-Symptoms

Disease Prediction based on Symptoms.

johri-lab /Automatic-leaf-infection-identifier

Automatic detection of plant diseases

anuj-glitch /Disease-Prediction-using-Django-and-machine-learning

**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.

NYUMedML /GNN_for_EHR

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

NygenAnalytics /CyteType

Multi-agent LLM driven cell type annotation for single-cell RNA-Seq data

chayandatta /Heart_disease_prediction

A machine learning project that compares five classification algorithms for predicting the presence of heart disease from clinical patient data.

Vatshayan /Final-Year-Disease-Prediction-Project

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

SsGood /MMGL

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

KalyanM45 /OpenHealth

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.

sohammanjrekar /Multiple-Disease-Prediction-Webapp

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.

USC-InfoLab /NeuroGNN

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.

LabinatorSolutions /medical-symptom-checker

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.

zzak00 /Disease-Symptom-Prediction-Chatbot

Healthcare system to predict Diseases based on patient symptoms

ravikant-diwakar /AgriSens

AI智能农业助手采用机器学习和CNN等先进技术，通过用户友好的网页应用为农民提供作物推荐、病害识别、天气预报、肥料推荐和作物管理指导。

cumc-dbmi /cehrbert

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

RiturajSaha /Health-Discernment-System

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.

Nasim992 /Disease-Prediction-System

This Project(Not Responsive) is predict the disease based on your Symptoms .Here ,the I use Html, CSS, JavaScript ,PHP ,MySql ,JQuery. For admin : Username: admin Password: Ab123456

NygenAnalytics /CyteTypeR

Multi-agent LLM driven cell type annotation for single-cell RNA-Seq data

anotherwebguy /Plants-disease-detection

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

kanugurajesh /Mentify

An all in one solution for mental health issues