There are 20 repositories under disease-prediction topic.
Disease Prediction based on Symptoms.
Code for "Graph Neural Network on Electronic Health Records for Predicting Alzheimer’s Disease"
**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
Heart Disease prediction using 5 algorithms
AI-based voice-assisted Contact Center for assisting Farmers for their problems.
Final Year Project Diseases Prediction System through Machine Learning. Disease Prediction system with code and documents
[ICCV'21] [Tensorflow] Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers
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.
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.
ASD diagnosis on ABIDE I
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 Password:Ab123456
Healthcare system to predict Diseases based on patient symptoms
Sparrow AI - API for disease diagnostics
Plants health monitoring through iot and plants disease detection using machine learning in flutter
Flask based web app with five machine learning models on the 10 most common disease prediction, covid19 prediction, breast cancer, chronic kidney disease and heart disease predictions with their symptoms as inputs or medical report (pdf format) as input.
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.
Undergrad final year project to predict diseases given any text symptoms.
Implementation code of RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data accepted by Medical Image Analysis Journal (MedIA 2022)
Pytorch code for the paper "The color out of space: learning self-supervised representations for Earth Observation imagery"
Diseases Prediction System though Machine Learning with code and documents
plant leaf diseases prediction using four different trained models named pytorch, TensorFlow, Keras and fastai
A sophisticated smart symptom search engine
Implementation of various machine learning algorithms to predict the disease from symptoms.
Machine learning techniques can be used to overcome these drawbacks which are cause due to the high dimensions of the data. So in this project I am using machine learning algorithms to predict the chances of getting cancer.
A Disease-Symptoms Network and a system that predicts diseases from symptoms using a decision tree classifier.
Plant Disease Detection model built with Keras and FastAPI
A disease prediction model that predicts the disease from the symptoms
Disease Pattern Miner is a free, open-source mining framework for interactively discovering sequential disease patterns in medical health record datasets.
Prediction Model on Cell Images for Detecting Malaria
[Project Repo] Predicting cardiovascular diseases.
A soft computing method based web project which helps in predicting the disease based on the symptoms of the patient. Also informs the patients about nearby doctors availability and precautions to be taken. The heart of the project is Fuzzy Logic , a soft computing technique which makes use of knowledge base made by the experts(doctors in this case) to predict the disease severity.
A deep learning CNN model to predict diseases in plants using the famous AlexNet architecture
Healthcare is an web application based on Machine Learning where a patient can detect disease and request for drug recommendation and take appointments.