Use of Steroid Profiling Combined With Machine Learning for Identification and Subtype Classification in Primary Aldosteronism

IMPORTANCE: Most patients with primary aldosteronism, a major cause of secondary hypertension, are not identified or appropriately treated because of difficulties in diagnosis and subtype classification. Applications of artificial intelligence combined with mass spectrometry–based steroid profiling...

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Detalles Bibliográficos
Autores principales: Eisenhofer, Graeme, Durán, Claudio, Cannistraci, Carlo Vittorio, Peitzsch, Mirko, Williams, Tracy Ann, Riester, Anna, Burrello, Jacopo, Buffolo, Fabrizio, Prejbisz, Aleksander, Beuschlein, Felix, Januszewicz, Andrzej, Mulatero, Paolo, Lenders, Jacques W. M., Reincke, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2020
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7525346/
https://www.ncbi.nlm.nih.gov/pubmed/32990741
http://dx.doi.org/10.1001/jamanetworkopen.2020.16209

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7525346/
https://www.ncbi.nlm.nih.gov/pubmed/32990741
http://dx.doi.org/10.1001/jamanetworkopen.2020.16209

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