There are 2 repositories under disease topic.
API for Current cases and more stuff about COVID-19 and Influenza
Repository for the Human Disease Ontology.
An easy-to-use PWA to monitor the user's wellness and learn about COVID-19.
Mondo Disease Ontology
Bases on Leaf images we are trying to predict plant disease using convolutional neural network. PyTorch implementation
Final Year Project Diseases Prediction System through Machine Learning. Disease Prediction system with code and documents
Experiment on NER task using Huggingface state-of-the-art Transformers Natural Language Models library
📱 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/).
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)
Source code for the EpiEstim app.
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
This python script detects known traits in raw human genetic data.
Healthcare system to predict Diseases based on patient symptoms
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.
Cataloging pharmacotherapies in clinical trial from ClinicalTrials.gov
Simulation modelling of crop diseases using a Susceptible-Exposed-Infectious-Removed (SEIR) model in R
A cancer staging client library for Java applications.
Microscopic Markov Chain Approach to model the spreading of COVID-19
Diseases Prediction System though Machine Learning with code and documents
Extract relevant informations in PubMed papers in a simple way.
A comprehensive gene set function enrichment tool for multiple species.
Machine learning model to detect heart attack. Various techinques applied data cleaning, visualization, and modeling
Regulatory Element Locus Intersection (RELI) Analysis
Identify the type of disease present on a Cassava Leaf image