cchsflow: an open science approach to transform and combine population health surveys.

Warsame Yusuf Rostyslav Vyuha Carol Bennett Yulric SequeiraCourtney MaskerineDouglas G Manuel

Published in: Canadian journal of public health = Revue canadienne de sante publique (2021)

The cchsflow package has been added to the Comprehensive R Archive Network (CRAN) and contains support for over 160 CCHS variables, generating a combined data set of over 1 million respondents. By implementing open science practices, cchsflow aims to minimize the amount of time needed to clean and prepare data for the many CCHS users across Canada.

Keyphrases

public health
electronic health record
big data
primary care
healthcare
cross sectional
machine learning
artificial intelligence