A validated artificial intelligence-based pipeline for population-wide primary immunodeficiency screening
Author:
Funder
Takeda Pharmaceuticals U.S.A.
National Institutes of Health
Jeffrey Modell Foundation
Publisher
Elsevier BV
Subject
Immunology,Immunology and Allergy
Reference22 articles.
1. The ever-increasing array of novel inborn errors of immunity: an interim update by the IUIS Committee;Tangye;J Clin Immunol,2021
2. The burden of common variable immunodeficiency disorders: a retrospective analysis of the European Society for Immunodeficiency (ESID) registry data;Odnoletkova;Orphanet J Rare Dis,2018
3. Health-related quality of life in primary immunodeficiencies: impact of delayed diagnosis and treatment burden;Anderson;Clin Immunol,2022
4. Modeling strategy to identify patients with primary immunodeficiency utilizing risk management and outcome measurement;Modell;Immunol Res,2017
5. Global study of primary immunodeficiency diseases (PI)—diagnosis, treatment, and economic impact: an updated report from the Jeffrey Modell Foundation;Modell;Immunol Res,2011
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1. Who's your data? Primary immune deficiency differential diagnosis prediction via machine learning and data mining of the USIDNET registry;Clinical Immunology;2023-10
2. Disparities in Diagnosis, Access to Specialist Care, and Treatment for Inborn Errors of Immunity;The Journal of Allergy and Clinical Immunology: In Practice;2023-10
3. Clinical Validation of a Primary Antibody Deficiency Screening Algorithm for Primary Care;Journal of Clinical Immunology;2023-09-16
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