414. Developing Digital Phenotypes of Primary Immune Deficiencies Using Machine Learning on a Large Electronic Health Record Database

BACKGROUND: More than 350 genetic disorders cause immune deficiencies; given the rarity of these conditions, in-depth study of infections associated with primary immune deficiencies (PID) requires extremely large sample sizes from broad populations. Using a large electronic health record (EHR) datas...

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Detalles Bibliográficos
Autores principales: Meister, Leo, Zerbe, Christa, Notarangelo, Luigi D, Kadri, Sameer S, Rebecca Prevots, D, Ricotta, Emily
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Abstracts
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6809140/
http://dx.doi.org/10.1093/ofid/ofz360.487

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6809140/
http://dx.doi.org/10.1093/ofid/ofz360.487

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