Guides, best practices, templates, and discussions for the WHO open source community
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Updated
Apr 25, 2024 - Shell
Guides, best practices, templates, and discussions for the WHO open source community
An R package for accessing and summarising the World Health Organisation Tuberculosis data.
🌸 Notebooks for making publish-worthy visualizations using WHO breast cancer data
Forecasting SARS-CoV-2 Next Wave in Iran and the World Using TSK Fuzzy Neural Networks
Send latest Covid updates and statistics obtained from Worldometers via email to a group of recipients. This script is triggered by the Windows Task Scheduler to execute daily at a specified time.
Analysis and Visualizations for COVID-19 Bing search engine queries + Classifier pipeline for predicting country based on search query.
A collection of news and FAQs about COVID19 (Coronavirus Disease - 2019)
To categorize tweets according to the severity level of suicidal intentions expressed in tweets’ text.
Documentation for CGHR's processed ICD data from the WHO
Women's_Maternal and Reproductive Health around the world (WHO Data cleaning, Data transformation, Data Normalization, Data Engineering, Data modeling, ERD Dia, Exploratory Analysis, Data visualization)
This project was implemented as part of my master's thesis in the program "Specialization in Information Systems" at the Hellenic Open University (HOU)/https://www.eap.gr/en/postgraduate-specialization-in-information-systems/.
World Health Organization Coronavirus disease (COVID-2019) PDF situation reports available in Excel and CSV formats
files relating to evaluation of InterVA-5 software
An analysis and prediction of diabetes using the dataset which is originally from the National Institute of Diabetes and Digestive and Kidney Diseases.
Python algorithm for converting WHO official COVID daily reporting tables (PDF) into simple data format (Pandas / CSV file).
Create digital growth charts based on the WHO child growth standards
Repository with scripts for processing health indicators from the IHME and WHO.
A collection of scripts to mine and analyze publicly-accessible data from the WHO Mortality Database
Tool for global visual analysis of alcohol consumption in relation to life expectancy
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