Comparative performance of two automated machine learning platforms for COVID-19 detection by MALDI-TOF-MS.

Rashidi, Hooman H; Pepper, John; Howard, Taylor; Klein, Karina; May, Larissa; Albahra, Samer; Phinney, Brett; Salemi, Michelle R; Tran, Nam K

Rashidi, Hooman H; Pepper, John; Howard, Taylor; Klein, Karina; May, Larissa; Albahra, Samer; Phinney, Brett; Salemi, Michelle R; Tran, Nam K.

Affiliation

Rashidi HH; Robert. J. Tomsich Pathology and Laboratory Medicine Institute, Cleveland Clinic, Cleveland, Ohio, United States of America.
Pepper J; Spectra Pass LLC & Allegiant Airlines, Las Vegas, Nevada, United States of America.
Howard T; Dept. of Pathology and Laboratory Medicine, UC Davis, Davis, California, United States of America.
Klein K; Dept. of Emergency Medicine, UC Davis, Davis, California, United States of America.
May L; Dept. of Emergency Medicine, UC Davis, Davis, California, United States of America.
Albahra S; Robert. J. Tomsich Pathology and Laboratory Medicine Institute, Cleveland Clinic, Cleveland, Ohio, United States of America.
Phinney B; Proteomics Core, UC Davis, Davis, California, United States of America.
Salemi MR; Proteomics Core, UC Davis, Davis, California, United States of America.
Tran NK; Dept. of Pathology and Laboratory Medicine, UC Davis, Davis, California, United States of America.

PLoS One ; 17(7): e0263954, 2022.

Article de En | MEDLINE | ID: mdl-35905092

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: SARS-CoV-2 / COVID-19 Type d'étude: Diagnostic_studies / Prognostic_studies Limites: Humans Langue: En Journal: PLoS One Sujet du journal: CIENCIA / MEDICINA Année: 2022 Type de document: Article Pays d'affiliation: États-Unis d'Amérique Pays de publication: États-Unis d'Amérique

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