disease

API for Current cases and more stuff about COVID-19 and Influenza

QiZhenGPT: An Open Source Chinese Medical Large Language Model｜一个开源的中文医疗大语言模型

Repository for the Human Disease Ontology.

Bases on Leaf images we are trying to predict plant disease using convolutional neural network. PyTorch implementation

Mondo Disease Ontology

An easy-to-use PWA to monitor the user's wellness and learn about COVID-19.

A sophisticated smart symptom search engine

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

Healthcare system to predict Diseases based on patient symptoms

3D hotspot mutation proximity analysis tool

The symptom ontology was designed around the guiding concept of a symptom being: “A perceived change in function, sensation or appearance reported by a patient indicative of a disease”. Understanding the close relationship of Signs and Symptoms, where Signs are the objective observation of an illness, the Symptom Ontology will work to broaden it’s scope to capture and document in a more robust manor these two sets of terms. Understanding that at times, the same term may be both a Sign and a Symptom. The Symptom Ontology is available under CC0 license (https://creativecommons.org/publicdomain/zero/1.0/).

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

Experiment on NER task using Huggingface state-of-the-art Transformers Natural Language Models library

A phenotype-based tool for variant prioritization in WES and WGS data

This python script detects known traits in raw human genetic data.

I used six classification techniques, artificial neural network (ANN), Support Vector Machine (SVM), Decision tree (DT), random forest (RF), Logistics Regression (LR) and Naïve Bayes (NB)

📱 Tracking the impact of COVID-19 cases based on your location, built in Flutter

Diabetic Retinopathy is a very common eye disease in people having diabetes. This disease can lead to blindness if not taken care of in early stages, This project is a part of the whole process of identifying Diabetic Retinopathy in its early stages. In this project, we'll extract basic features which can help us in identifying Diabetic Retinopathy in its early stages.

A desktop application to fetch Wikipedia,Google,Disease results and save them as text file,in database.Have a Section to search details about doctors in location

Source code for the EpiEstim app.