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