Early Diagnosis of Primary Immunodeficiency Disease Using Clinical Data and Machine Learning
Open Access
- 13 September 2022
- journal article
- research article
- Published by Elsevier in The Journal of Allergy and Clinical Immunology: In Practice
- Vol. 10 (11) , 3002-3007.e5
Abstract
No abstract availableKeywords
Funding Information
- Food Allergy Research and Education
- AbbVie
- National Institutes of Health (K01HL148390)
- Takeda Pharmaceutical Company
This publication has 13 references indexed in Scilit:
- Artificial intelligence and the hunt for immunological disordersCurrent Opinion in Allergy and Clinical Immunology, 2020
- Calculation of a Primary Immunodeficiency “Risk Vital Sign” via Population-Wide Analysis of Claims Data to Aid in Clinical Decision SupportFrontiers in Pediatrics, 2019
- Delayed Diagnosis and Complications of Predominantly Antibody Deficiencies in a Cohort of Australian AdultsFrontiers in Immunology, 2018
- Primary immunodeficiency diseases: Genomic approaches delineate heterogeneous Mendelian disordersJournal of Allergy and Clinical Immunology, 2017
- Prevalence and Morbidity of Primary Immunodeficiency Diseases, United States 2001–2007Journal of Clinical Immunology, 2014
- Impact of trough IgG on pneumonia incidence in primary immunodeficiency: A meta-analysis of clinical studiesClinical Immunology, 2010
- Rapid Subcutaneous IgG Replacement Therapy is Effective and Safe in Children and Adults with Primary Immunodeficiencies—A Prospective, Multi-National StudyJournal of Clinical Immunology, 2006
- Common Variable Immunodeficiency: Clinical and Immunological Features of 248 PatientsClinical Immunology, 1999
- The Use of Intravenous Immune Globulin in Immunodeficiency DiseasesNew England Journal of Medicine, 1991
- Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric ApproachBiometrics, 1988