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.

Mondo Disease Ontology

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

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

A sophisticated smart symptom search engine

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

3D hotspot mutation proximity analysis tool

Healthcare system to predict Diseases based on patient symptoms

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

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 …

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

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…

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)

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

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

Source code for the EpiEstim app.

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