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Fernanda Andrade Orsi

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Articles

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

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By Sophia Koutsogiannaki, Koichi Yuki, Fernanda Andrade Orsi, Francisco Bonilla
| ScienceDirect Verified
Inborn errors of immunity, also known as Primary immune deficiencies (PID), are a heterogeneous group of over 485 congenital rare diseases with increased susceptibility to infection, inflammation, autoimmunity, allergy, and/or cancer [1]. Their estimated global prevalence is 1 in 10,000 humans. The United States Immunodeficiency Network (USIDNET) is a research consortium that maintains a registry of data from over 4000 patients with PID ( usidnet.org ).
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