Repository for the Human Disease Ontology.

A sophisticated smart symptom search engine

3D hotspot mutation proximity analysis tool

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

Source code for the EpiEstim app.

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

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’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/).

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.

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)

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

Analysis of the human symptoms–disease network

Simulation modelling of crop diseases using a Susceptible-Exposed-Infectious-Removed (SEIR) model in R

Cataloging pharmacotherapies in clinical trial from ClinicalTrials.gov

Microscopic Markov Chain Approach to model the spreading of COVID-19

Infectious disease model library and utilities

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

A comprehensive gene set function enrichment tool for multiple species.

A cancer staging client library for Java applications.

Final Year Project Diseases Prediction System through Machine Learning

A simple disease spread simulation in p5.js

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 Password:Ab123456

Identify the type of disease present on a Cassava Leaf image

Regulatory Element Locus Intersection (RELI) Analysis