A proof of concept of a machine learning algorithm to predict late-onset 21-hydroxylase deficiency in children with premature pubic hair-Reference-Cited by-同舟云学术

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A proof of concept of a machine learning algorithm to predict late-onset 21-hydroxylase deficiency in children with premature pubic hair

Published:2022-06 Issue: Volume:220 Page:106085
ISSN:0960-0760
Container-title:The Journal of Steroid Biochemistry and Molecular Biology
language:en
Short-container-title:The Journal of Steroid Biochemistry and Molecular Biology

Author:

Agnani Héléna,Bachelot Guillaume,Eguether Thibaut,Ribault Bettina,Fiet Jean,Le Bouc Yves,Netchine Irène,Houang Muriel,Lamazière Antonin

Publisher

Elsevier BV

Subject

Cell Biology,Clinical Biochemistry,Endocrinology,Molecular Biology,Molecular Medicine,Biochemistry,Endocrinology, Diabetes and Metabolism

Reference52 articles.

1. Approach to the girl with early onset of pubic hair;Oberfield;J. Clin. Endocrinol. Metab.,2011

2. High frequency of nonclassical steroid 21-hydroxylase deficiency;Speiser;Am. J. Hum. Genet.,1985

3. Ethnic-specific distribution of mutations in 716 patients with congenital adrenal hyperplasia owing to 21-hydroxylase deficiency;Wilson;Mol. Genet. Metab.,2007

4. Non-classic congenital adrenal hyperplasia due to 21-hydroxylase deficiency revisited: an update with a special focus on adolescent and adult women;Carmina;Hum. Reprod. Update,2017

5. Inborn errors of steroid biosynthesis;Finkelstein;Physiol. Rev.,1979

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4. Combining metabolomics and machine learning models as a tool to distinguish non-classic 21-hydroxylase deficiency from polycystic ovary syndrome without adrenocorticotropic hormone testing;Human Reproduction;2022-11-25

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