Artificial Intelligence in Allergy and Immunology: Comparing Risk Prediction Models to Help Screen Inborn Errors of Immunity.

Journal: International archives of allergy and immunology

Published Date: Aug 16, 2022

BACKGROUND: Inborn errors of immunity (IEI) are underdiagnosed disorders, leading to increased morbimortality and expenses for healthcare system.

Marina Mayumi Vendrame Takao

Pediatric Allergy and Immunology Division, Faculty of Medical Sciences/State University of Campinas (Unicamp), Campinas, Brazil, mm.takao@yahoo.com.br.
Luiz Sérgio Fernandes Carvalho

Data Lab, Clarity Healthcare Intelligence, Jundiaí, Brazil.
Paula Garcia Pereira Silva

Pediatric Allergy and Immunology Division, Faculty of Medical Sciences/State University of Campinas (Unicamp), Campinas, Brazil.
Maisa Moraes Pereira

Pediatric Allergy and Immunology Division, Faculty of Medical Sciences/State University of Campinas (Unicamp), Campinas, Brazil.
Ana Carolina Viana

Faculty of Medical Sciences/Pontifical Catholic University of Campinas (PUC-Campinas), Campinas, Brazil.
Marcos Tadeu Nolasco da Silva

Pediatric Allergy and Immunology Division, Faculty of Medical Sciences/State University of Campinas (Unicamp), Campinas, Brazil.
Adriana Gut Lopes Riccetto

Pediatric Allergy and Immunology Division, Faculty of Medical Sciences/State University of Campinas (Unicamp), Campinas, Brazil.

Artificial Intelligence Child Delivery of Health Care Humans Hypersensitivity Logistic Models Machine Learning

View on PubMed Access via DOI PubMed (35973410)