A disease prediction model uses medical data to analyze patterns, risk factors, and symptoms to forecast the likelihood of an individual developing a specific illness.

Enhancing Patient Care through AI-Driven Disease Prediction

A Vietnamese dataset of over 12 thousands questions about common disease symptoms. Perfect for researchers and developers building Vietnamese healthcare chatbots or disease prediction models.

PrognosisHub is a multiple disease predictor.

You Can see The Top Artificial Intelligence Projects Based on Real Use cases. 😃 Why wait More when you have all things at one place. 😎

Health Companion: AI-driven disease prediction, BMI calculator, and daily calories tracking. Python Flask ensures seamless web hosting, prioritizing user privacy without external APIs. Empowering users for informed decisions and proactive health management.

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

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.

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

A multi-target leaf disease detection model. It can detect 7 types of leaves and 4 types of diseases.

A single page serverless, lightweight, responsive, website to call Google's language and Image models.

A knowledge graph system with graph neural network for drug repurposing and disease mechanism.

Skin lesion detection app, based on CNN model trained on MSLD v2.0 dataset for detecting: Monkeypox, Chickenpox, Cowpox, HFMD, Measles and healthy.

A minimal late light blight disease classifier for the tomato plant for small scale farms and home growers of the tomato plant.

A custom cross encoder used to predict the diseases from an input of symptoms

Code for the paper "A Novel Hyperparameter Search Approach for Accuracy and Simplicity in Disease Prediction Risk Scoring".

Disease Prediction - a beginner ML project by me

Farmify is a Python-based project designed to help farmers with crop disease prediction, crop recommendation, and fertilizer suggestions. It utilizes machine learning models and Flask for web application development.

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.