disease-prediction
There are 295 repositories under disease-prediction topic.
Disease-Prediction-Model
Prediction Model on Cell Images for Detecting Malaria
Grapes-Leaf-Disease-detection
Built a deep learning model using tensorflow and keras in python for grape leaf disease detection. Used OpenCV for image processing
disease-pattern-miner
Disease Pattern Miner is a free, open-source mining framework for interactively discovering sequential disease patterns in medical health record datasets.
Disease-Diagnosis-and-Recommendation-System
A system that analyses patient symptoms and provides preliminary diagnoses along with recommended treatments⚕️
cardio_catch_diseases
[Project Repo] Predicting cardiovascular diseases.
Mentify
An all in one solution for mental health issues
Health-CheckUp
AI based health checkup web tool
spread_lockdown
A GitHub repo for the generation of a network model to represent society with various components, the spread of the disease on this network, and the calculation of reproduction number on these simulation results.
Plant-disease-Detection
Plant Disease Detection using convolutional neural network. Our model can easily predict the disease of plants like Potato , Tomato , Pepper Bel and many more in the upcoming version.
Smart-Healthcare-Android-Application
An Artificial Intelligence Application that consists of, A Therapist, Medical Doctor, GPS tracker, News Stands and a Meal Planner Along with an Emergency Number Caller.
Plant_Disease_And_Plant_Identification
Android App to Detect Plant as well as Pest Detection
Plants-Disease-Detection_using_TF_with_Keras
Plants Disease Detection using ML
covid19-chatbot
A disease prediction chatbot using Flask and Dialogflow
Novel-Corona-Virus-Pandemic-Analysis-and-Modeling
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
LiteralKG
LiteralKG is a novel Attributed Knowledge Graph Embedding Model developed by NS Lab @ CUK based on pure PyTorch backend.
Disease-Diagnosis-NLP-Project
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.
Diabetes-Predication
This project uses a Machine learning approach to detect whether the patient has diabetes or not using different machine learning algorithms.
Plant-Diseases-Cnn
Model trained for educational purposes only; usage subject to terms and conditions.
Plant-Status-Gradio
🍃Upload a photo of a plant to see how the model classifies its status!🍃
vi-medicine
💊 LLMs agent for medical
Detecting-the-extent-of-Hypertension-through-Voice
Feature extraction and analysis on audio clips taken from various online source like Netflix to detect the extent of hypertension in a person.
rudrabarad
Diseases Checker Application | Android Application
covid19-chest-x-ray-detection
Detecção de COVID-19 a partir de imagens de raios X de tórax utilizando uma Deep Convolutional Neural Network otimizada.
Hariyali
Hariyali is a web application which is used for crop prediction, fertilizer prediction and crop disease prediction.
Sugarcane_project_3rd_Milestone
Final Year Project (Sugarcane disease detector)
Heal-the-Health-App
Healthcare App for data management along with disease predictor
Meso-Hacks
Apna Doctor is an AI based Health Check-Up Web Application
Healthron
A Disease Outbreak Assistance system using machine learning and Artifitial Intelligence
TINC
TINC (MICCAI 2022) official code
HealthOrzo
HealthOrzo is a Disease Prediction and Information Website. It is user friendly and very dynamic in it's prediction. The Project Predicts 4 diseases that are Diabetes , Kidney Disease , Heart Ailment and Liver Disease . All these 4 Machine Learning Models are integrated in a website using Flask at the backend .
Respiratory-Disease-Detection
Detecting Respiratory Diseases via Audio samples using Deep Learning and Librosa
Healthify-React-App
Machine Learning-based model to detect diseases
wids-datathon-2021-diabetes-prediction
Predict whether patients admitted to an ICU are diagnosed with Diabetes Mellitus using data from the first 24 hours of intensive care.