A predictive model for identification of pediatric individuals with common variable immunodeficiency through electronic medical records

[Display omitted] Common variable immunodeficiency (CVID) is characterized by recurrent sinopulmonary infections. However, in the pediatric population, recurrent sinopulmonary infections early in life are common, which can render key clinical features of CVID less distinctive. Accordingly, the diagn...

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Veröffentlicht in:	Journal of allergy and clinical immunology Jg. 156; H. 1; S. 186 - 194
Hauptverfasser:	Alsaati, Nouf, Penney, Chris, Helbig, Ingo, Sullivan, Kathleen E.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Inc 01.07.2025
Schlagworte:	Adolescent antibody deficiency artificial intelligence Child Child, Preschool Common Variable Immunodeficiency - diagnosis Electronic Health Records Female Humans inborn error of immunity Infant Machine Learning Male predictive algorithm Primary immunodeficiency inborn error of immunity antibody deficiency FN FP SVM machine learning IEI artificial intelligence EHR Primary immunodeficiency CVID predictive algorithm XGBoost CHOP TP ML
ISSN:	0091-6749, 1097-6825, 1097-6825
Online-Zugang:	Volltext
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