Topic: diseases Goto Github
Some thing interesting about diseases
Some thing interesting about diseases
diseases,An AI, Machine Learning and Blockchain based healthcare ecosystem that predicts health outcome, divulges users' and environmental health risk; mitigates illicit drug use.
Organization: 9th-digit-contracting-limited
Home Page: http://www.pht.com.ng
diseases,A pipeline to predict risk genes, implicated cell types and drugs for repurposing based on known risk genes (derived from GWAS) for complex traits.
User: acdbio
diseases,A django web app that predicts the disease and severity based on the symptoms collected from user
User: akashvs01
diseases,Happy Cure is android app health care. Developed using Flutter.
User: anandarauf
diseases,Sytora is a multilingual symptom-disease classification app. Translation is managed through the UMLS coding standard.
User: anaymalpani
Home Page: https://anaymalpani.github.io/sytora/
diseases,Simulating epidemics using Python
User: antonin-lfv
diseases,Monkey Pox Statistics, Visualization. Weekly visualization and analysis of the monkey pox outbreak Data range: From 2022-05-06 to 2022-06-17 Data source: https://www.kaggle.com/datasets/deepcontractor/monkeypox-dataset-daily-updated
User: arinzecode
diseases,Smart and simple medical chatbot
User: asmit-chandra
Home Page: https://asmit-chandra.github.io/VAID-App
diseases,A Disease Target Visualisation Library.
User: ayusharma
diseases,Systematic assessment of the impacts of climate change on human pathogenic diseases
User: camilo-mora
Home Page: https://camilo-mora.github.io/Diseases/
diseases,Inspire.com is a community forum to engage in discussions about diseases. Select/search from a list of Inspire communities and use this scraper to scrape publicly available posts made by users.
User: ch1nmay7898
diseases,(개발중) 연구자, 근로자, 일반 시민이 산업재해 판례 정보를 손쉽게 조회하고 상황에 따라 메타데이터를 추가할 수 있는 서비스
Organization: code-for-korea
Home Page: http://sanjae.codefor.kr/rulings/
diseases,Well all it asks, are your symptoms to diagnose your risk toward covid-19
User: dev-roshan-lab
diseases,Processing the DISEASES database
User: dhimmel
diseases,Generating expression signatures for disease using STARGEO
User: dhimmel
Home Page: https://doi.org/10.15363/thinklab.d96
diseases,Characterization of Germline variants
Organization: ding-lab
Home Page: https://ding-lab.github.io/CharGer/
diseases,We are the Department of Ecological Dynamics of the Leibniz IZW! This repository stores the distill webpage of the department.
Organization: ecodynizw
diseases,Plant Disease Epidemiology in R
User: emdelponte
Home Page: https://r4pde.net
diseases,Tracking the movement of cereal blast caused by Pyricularia
User: emdelponte
Home Page: https://pyblastr.netlify.com/
diseases,A Knowledge Graph from public databases and scientific literature to extract associations between chemicals and diseases.
Organization: emetabohub
diseases,emu430-fall2023-team-data_ciphers created by GitHub Classroom
Organization: emu-hacettepe-analytics
Home Page: https://emu-hacettepe-analytics.github.io/emu430-fall2023-team-data_ciphers/
diseases,🦠😷 A DiseaseMonitor module that allows us to record the cases of multiple diseases and export numerous statistics about them.
User: giannisdravilas
diseases,Global Biotic Interactions provides access to existing species interaction datasets
Organization: globalbioticinteractions
Home Page: https://globalbioticinteractions.org
diseases,Identification of cancer-causing variants
User: hansi-thewarapperuma
diseases,Computing term cooccurrence in MEDLINE
Organization: hetio
Home Page: https://doi.org/10.15363/thinklab.d67
diseases,Água e doenças na Amazônia Legal
Organization: infoamazonia
Home Page: http://visaguas.infoamazonia.org
diseases,Health Check ✔ is a Machine Learning Web Application made using Flask that can predict mainly three diseases i.e. Diabetes, Heart Disease, and Cancer.
User: kritikaparmar-programmer
diseases,LEUKOCOUNT aids in automating the process of detection of blood-based diseases.
User: nupurgopali
diseases,Interface to the International Classification of Diseases (ICD) API
Organization: oxfordihtm
Home Page: https://oxford-ihtm.io/codigo/
diseases,Search the International Classification of Diseases (ICD10) table
User: pfftdammitchris
diseases,Dataset used in "PlantDoc: A Dataset for Visual Plant Disease Detection" accepted in CODS-COMAD 2020
User: pratikkayal
diseases,Based of of the 3b1b video, Simulating and Epidemic, this simulation simulates a disease outbreak in a community.
User: quantalabs
Home Page: https://quantalabs.github.io/Disease
diseases,Machine learning to classify ontology nodes
Organization: related-sciences
diseases,A menu based multiple chronic disease detection system which will detect if a person is suffering from a severe disease by taking an essential input image.
User: riturajsaha
diseases,ComptoxAI - An artificial Intelligence toolkit for computational toxicology
Organization: romanolab
Home Page: https://comptox.ai/
diseases,Using expert system shells for the development of Expert systems. These shells are empty Expert System knowledge bases, which have the structure and interface already written for us; all we need to do is to add the knowledge into the KB. Instead of writing an Expert System from scratch, for this problem we will be using a small Expert System shell to design and implement an expert system. We used PyKnow Framework for building the concerned expert system.
User: ronak-07
diseases,An ontology for ocular immune-mediated inflammatory diseases
User: sap218
Home Page: https://sap218.github.io/ocimido/
diseases,SORMAS (Surveillance, Outbreak Response Management and Analysis System) is an early warning and management system to fight the spread of infectious diseases.
Organization: sormas-foundation
Home Page: https://sormas.org
diseases,
Organization: theaiscope
diseases,Named Entity Recognition for Disorder, Species, Chemical or Drug, Gene and Protein, Enzyme, Anatomy, Biological Process, Molecular Function, Cellular Component, Pathway and microRNAs.
User: tsantosh7
Home Page: https://covido.volitionlabs.xyz
diseases,Diseases Prediction System though Machine Learning with code and documents
User: vatshayan
Home Page: https://www.finalproject.in/
diseases,PDD Graph : Bridging MIMIC-III and Linked Data Cloud
User: wangmengsd
Home Page: http://kmap.xjtudlc.com/pdd/index.html
diseases,Inference of Disease Progressive Level in Single-Cell Data
User: ytanaka-bio
diseases, The mathematical modeling of the optimal strategy for influenza vaccination was studied using a transmission dynamics model that considered population movement, province, and age group
User: zeroxmu
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