Mondo Disease Ontology

VR-Caps: A Virtual Environment for Active Capsule Endoscopy

AI leaf disease detection system with FastAPI + Streamlit using Llama Vision (Groq) for all diseases, severity and treatment recommendations

Multi-Label Image Classification of Chest X-Rays In Pytorch

Disease classification on different plants with using Machine Learning and Convolutional Neural Networks.

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.

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

Smart Health Predictor with Data Mining using Php, Mysql. Which can predict the disease based on Input Symptoms and Lab Sample.

Web App for Plant Disease Detection using Tensorflow and streamlit

Machine Learning in NeuroImaging (MALINI) is a MATLAB-based toolbox used for feature extraction and disease classification using resting state functional magnetic resonance imaging (rs-fMRI) data. 18 different popular classifiers are presented. With slight modifications, it can also be used for any classification problem using any set of features.

Disease classification on different plants with using Machine Learning and Convolutional Neural Networks.

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.

[Communications Medicine] "Efficient deep learning-based automated diagnosis from echocardiography with contrastive self-supervised learning" by Gregory Holste, Evangelos Oikonomou, Bobak Mortazavi, Zhangyang Wang, and Rohan Khera

Plant Disease Detection model built with Keras and FastAPI

[HUAWEI 2021] 5th Place Solution to HUAWEI PRCV Challenge 2021 Alzheimer's Disease Classification Task

Reproducing and Improving CheXNet: Deep Learning for Chest X-ray Disease Classification

[TMI 2025] Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation

A Disease-Symptoms Network and a system that predicts diseases from symptoms using a decision tree classifier.

An expert system for diagnosis of respiratory diseases, including the infamous COVID-19.

This repository contains the code to reproduce our exploratory analysis of a pan-cancer plasma proteomics dataset, including differential expression analysis and disease classification (https://doi.org/10.1038/s41467-023-39765-y). The data can be explored in the Human Protein Atlas: www.proteinatlas.org/humanproteome/disease.

Clustering the medical textbook, in order to categorize diseases based on the most common words in each disease description by using NLP algorithms and techniques.

Search the International Classification of Diseases (ICD10) table

Services and guidelines for normalizing disease terms

Code implementation of SHRED variants

[JBHI 2025] Progressive Mining and Dynamic Distillation of Hierarchical Prototypes for Disease Classification and Localisation

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

Predict your diseases based on the symptoms provided And Image Processing technique is used to predict the skin cancer

REST API for the classification of plant diseases.

AI-powered plant disease detection system using deep learning. Upload plant images to instantly identify 30+ diseases across Apple, Corn, Grape, Potato, Tomato & more crops. Built with FastAPI + React TypeScript. Ready for cloud deployment.

Deep learning–powered platform for skin disease image classification and symptom-based disease prediction using a conversational LLM chatbot. Combines computer vision (MobileNetV2, EfficientNet) with natural language processing for interactive, user-friendly medical guidance.