Who's your data? Primary immune deficiency differential diagnosis prediction via machine learning and data mining of the USIDNET registry

Author:

Méndez Barrera Jose Alfredo,Rocha Guzmán Samuel,Hierro Cascajares Elisa,Garabedian Elizabeth K.,Fuleihan Ramsay L.,Sullivan Kathleen E.,Lugo Reyes Saul O.

Funder

Consejo Nacional de Ciencia y Tecnología

National Institute of Allergy and Infectious Diseases

Immune Deficiency Foundation

US Immunodeficiency Network

Publisher

Elsevier BV

Subject

Immunology,Immunology and Allergy

Reference23 articles.

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3. Medical error-the third leading cause of death in the US;Makary;BMJ.,2016

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5. How doctors think, and how software can help avoid cognitive errors in diagnosis;Segal;Acta Paediatr.,2007

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1. Artificial Intelligence and Machine Learning for Inborn Errors of Immunity: Current State and Future Promise;The Journal of Allergy and Clinical Immunology: In Practice;2024-08

2. Improving Clinical Practice Through Patient Registries in Allergy and Immunology;The Journal of Allergy and Clinical Immunology: In Practice;2024-05

3. Proceedings from the inaugural Artificial Intelligence in Primary Immune Deficiencies (AIPID) conference;Journal of Allergy and Clinical Immunology;2024-03

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