Identification of people with low prevalence diseases in administrative healthcare records: A case study of HIV in British Columbia, Canada.

Scott Daniel Emerson Taylor McLinden Paul SeredaViviane D LimaRobert S HoggKatherine W KooijAmanda M YonkmanKate A SaltersDavid MooreJunine ToyJason WongTheodora ConsolacionJulio S G MontanerRolando Barrios

Published in: PloS one (2023)

In the context of an existing low prevalence disease registry, the results of our validation study demonstrate the value of highly-specific case-finding algorithms applied to administrative healthcare records to enhance our ability to estimate the number of PWH living in BC.

Keyphrases

healthcare
risk factors
machine learning
antiretroviral therapy
hiv infected
hiv positive
human immunodeficiency virus
hiv aids
deep learning
social media
affordable care act