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Publication Data Science for Health Decision Making
MEASURE Evaluation (2015)
Located in Resources / Publications
Publication C source code Defining Electronic Health Technologies and Their Benefits for Global Health Program Managers: Data Science and Big Data
MEASURE Evaluation (2015)
Located in Resources / Publications
Publication Data Science in Global Health: Programming Library/Resource List
MEASURE Evaluation (2018)
Located in Resources / Publications
Publication Data Science for Global Health
Lance P, Spencer J, Janko M (2016)
Located in Resources / Publications
Publication Directives des réunions de revue des données: pour évaluer et améliorer la performance
Eric Geers, Jonas Sagno, and Albert Camara (2017)
Located in Resources / Publications
Data Science
MEASURE Evaluation is exploring the potential of data science to strengthen health systems and improve monitoring and evaluation.
Located in Our Work
Data Science Programming Library
This page presents some examples of core R code for kriging and mapping that has been used by the project to support its work in geospatial analysis with big data for global health.
Located in Our Work / Data Science
Jupyter Notebooks FAQ
Jupyter notebooks provide an opportunity to share not only executable code but also provide context about the code and the techniques used.
Located in Our Work / Data Science / Data Science Programming Library
R Markdown FAQ
R Markdown is a file format for R code that makes it possible to create shareable documents that include not only code but also text.
Located in Our Work / Data Science / Data Science Programming Library
Defining Electronic Health Technologies and Their Benefits for Global Health Program Managers
Located in Our Work / Health Information Systems
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