A Phenotyping Algorithm to Identify People With HIV in Electronic Health Record Data (HIV-Phen): Development and Evaluation Study
BackgroundIdentification of people with HIV from electronic health record (EHR) data is an essential first step in the study of important HIV outcomes, such as risk assessment. This task has been historically performed via manual chart review, but the increased availability o...
Main Authors: | Sarah B May, Thomas P Giordano, Assaf Gottlieb |
---|---|
Format: | Article |
Language: | English |
Published: |
JMIR Publications
2021-11-01
|
Series: | JMIR Formative Research |
Online Access: | https://formative.jmir.org/2021/11/e28620 |
Similar Items
-
PhenCode: connecting ENCODE data with mutations and phenotype.
by: Giardine, B, et al.
Published: (2007) -
Machine learning with routine electronic medical record data to identify people at high risk of disengagement from HIV care in Tanzania
by: Carolyn A. Fahey, et al.
Published: (2022-01-01) -
Machine learning with routine electronic medical record data to identify people at high risk of disengagement from HIV care in Tanzania.
by: Carolyn A Fahey, et al.
Published: (2022-01-01) -
IthaPhen: An Interactive Database of Genotype-Phenotype Data for Hemoglobinopathies
by: Maria Xenophontos, et al.
Published: (2023-07-01) -
Natural language processing to identify lupus nephritis phenotype in electronic health records
by: Yu Deng, et al.
Published: (2024-03-01)