Ethnic disparity in diagnosing asymptomatic bacterial vaginosis using machine learning.

Celeste, Cameron; Ming, Dion; Broce, Justin; Ojo, Diandra P; Drobina, Emma; Louis-Jacques, Adetola F; Gilbert, Juan E; Fang, Ruogu; Parker, Ivana K.

Afiliação

Celeste C; J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, 32610, USA.
Ming D; J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, 32610, USA.
Broce J; Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL, 32611, USA.
Ojo DP; Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL, 32611, USA.
Drobina E; Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL, 32611, USA.
Louis-Jacques AF; Department of Obstetrics and Gynecology, College of Medicine, University of Florida, Gainesville, FL, 32611, USA.
Gilbert JE; Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL, 32611, USA.
Fang R; J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, 32610, USA. ruogu.fang@bme.ufl.edu.
Parker IK; Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL, 32611, USA. ruogu.fang@bme.ufl.edu.

NPJ Digit Med ; 6(1): 211, 2023 Nov 17.

Article em En | MEDLINE | ID: mdl-37978250

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article