Topic: disease Goto Github
Some thing interesting about disease
Some thing interesting about disease
disease,A Python module that classifies disease on plants.
User: abdullahselek
disease,Simulation modelling of crop diseases using a Susceptible-Exposed-Infectious-Removed (SEIR) model in R
User: adamhsparks
Home Page: http://adamhsparks.github.io/epicrop/
disease,📱 Tracking the impact of COVID-19 cases based on your location, built in Flutter
User: adityanjr
Home Page: https://adityanjr.github.io/covid-tracker-web/#/
disease,This project uses a Machine learning approach to detect whether the patient has diabetes or not using different machine learning algorithms.
User: amberkakkar01
disease,A phenotype-based tool for variant prioritization in WES and WGS data
Organization: bio-ontology-research-group
disease,An easy-to-use PWA to monitor the user's wellness and learn about COVID-19.
Organization: covid-19-electronic-health-system
Home Page: https://coronatracker.me/
disease,meerkat는 세계 동물질병정보를 수집, 분석하는 서비스를 제공합니다.
Organization: daejeonpython
disease,Cataloging pharmacotherapies in clinical trial from ClinicalTrials.gov
User: dhimmel
Home Page: https://doi.org/10.15363/thinklab.d212
disease,Processing the DisGeNET database of disease–gene association
User: dhimmel
Home Page: https://doi.org/10.15363/thinklab.d105
disease,3D hotspot mutation proximity analysis tool
Organization: ding-lab
disease,API for Current cases and more stuff about COVID-19 and Influenza
Organization: disease-sh
Home Page: https://disease.sh/
disease,Repository for the Human Disease Ontology.
Organization: diseaseontology
disease,The Pathogen Transmission Ontology describes the transmission methods of human disease pathogens from one host, reservoir, or source to another host. The pathogen transmission may occur either directly or indirectly and may involve animate vectors or inanimate vehicles.
Organization: diseaseontology
Home Page: https://disease-ontology.org/resources/pathogen-transmission-ontology
disease,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/).
Organization: diseaseontology
disease,Extract relevant informations in PubMed papers in a simple way.
User: dsupertramp
disease,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.
User: ebdulrasheed
disease,Info/Data (global/italy) about COVID-19. PR welcome for other countries.
User: edoardottt
Home Page: https://www.who.int/
disease,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
User: fredysomy
Home Page: https://fredysomy.me/HealthApp
disease,Multigranular Analysis of Regulatory Variants on the Epigenomic Landscape
User: fuxialexander
disease,A cancer staging client library for Java applications.
Organization: imsweb
disease,Source code for the EpiEstim app.
User: jstockwin
Home Page: https://github.com/jstockwin/EpiEstimApp/wiki
disease,Microscopic Markov Chain Approach to model the spreading of COVID-19
User: jtmatamalas
Home Page: http://jtmatamalas.github.io/MMCAcovid19.jl/v0.1/
disease,A sophisticated smart symptom search engine
User: leanderme
Home Page: http://sytora.com
disease,A web application to detect diseases in tomatoes through image detection on tomato leaves using YoLo
User: manabil
Home Page: dectma.vercel.app
disease,Bases on Leaf images we are trying to predict plant disease using convolutional neural network. PyTorch implementation
User: manthan89-py
Home Page: https://www.plant-disease-detection-ai.herokuapp.com
disease,This python script detects known traits in raw human genetic data.
User: michaelsebero
disease,Mondo Disease Ontology
Organization: monarch-initiative
Home Page: http://obofoundry.org/ontology/mondo
disease,Machine learning model to detect heart attack. Various techinques applied data cleaning, visualization, and modeling
User: mrkhan0747
disease,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
User: nasim992
Home Page: http://disease-prediction-system.epizy.com/index.php
disease,Identify the type of disease present on a Cassava Leaf image
User: nhtlongcs
disease,
Organization: phenopackets
disease,Reference java implementation for phenopackets
Organization: phenopackets
disease,I have scraped International Statistical Classification of Diseases and Related Health Problems 10th Revision websites's data. It has all the diseases and health problems. I have also attached csv of scraped data which contains two column "Ids" and "Description".
User: prkskrs
disease,Experiment on NER task using Huggingface state-of-the-art Transformers Natural Language Models library
User: pyvandenbussche
Home Page: http://pyvandenbussche.info/2019/named-entity-recognition-with-pytorch-transformers/
disease,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)
User: razuswe
disease,An efficient disease detection application with web based fronted and machine learning backend which detects if a patient is diabetic or normal from essential patient data in real time.
User: riturajsaha
disease,Webapp for disease surveillance in resource limited environments
Organization: sages-health
Home Page: http://jhuapl.edu/sages
disease,Infectious disease model library and utilities
User: seabbs
Home Page: http://samabbott.co.uk/idmodelr
disease,A simple disease spread simulation in p5.js
User: selenebun
Home Page: https://rsaihe.github.io/disease/
disease,
Organization: theaiscope
disease,Diseases Prediction System though Machine Learning with code and documents
User: vatshayan
Home Page: https://www.finalproject.in/
disease,Final Year Project Diseases Prediction System through Machine Learning. Disease Prediction system with code and documents
User: vatshayan
Home Page: https://www.finalproject.in/
disease,A visit-based contact tracing application built to consume healthcare encounter data.
Organization: vnsny-bia
Home Page: https://vnsny-bia.github.io/VisitContactTrace/
disease,Regulatory Element Locus Intersection (RELI) Analysis
Organization: weirauchlab
disease,A comprehensive gene set function enrichment tool for multiple species.
User: zd105
disease,Healthcare system to predict Diseases based on patient symptoms
User: zzak00
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