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Causal modeling in large-scale data to improve identification of adults at risk for combined and common variable immunodeficiencies

2024-08-09

Abstract excerpt

Combined immunodeficiencies (CID) and common variable immunodeficiencies (CVID), prevalent yet substantially underdiagnosed primary immunodeficiency disorders, necessitate improved early detection strategies. Leveraging large-scale electronic health record (EHR) data from four nationwide US cohorts, we developed a novel causal Bayesian Network (BN) model to unravel the complex interplay of antecedent clinical phen...

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Literature Corpus work
6f65784f-50e2-572a-b8b4-2f3e39fc27ea
DOI
10.1101/2024.08.08.24311672
Open publication

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Causal modeling in large-scale data to improve identification of adults at risk for combined and common variable immunodeficienciesDOI 10.1101/2024.08.08.24311672
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