Article

Enhancing the Prediction of Inborn Errors of Immunity: Integrating Jeffrey Modell Foundation Criteria with Clinical Variables Using Machine Learning

2025-08-18

Abstract excerpt

<h4>Background: </h4> Inborn errors of immunity (IEIs) are a heterogeneous group of rare disorders caused by genetic defects in one or more components of the immune system. The Jeffrey Modell Foundation’s (JMF) Ten Warning Signs are widely used for early detection; however, their diagnostic sensitivity is limited. Machine learning (ML) approaches may improve prediction accuracy by integrating additional clinical v...

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Literature Corpus work: 30c27808-7087-5258-96d3-6bf5c1b59548
DOI: 10.20944/preprints202508.1174.v1

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