Machine learning to predict rapid progression of carotid atherosclerosis in patients with impaired glucose tolerance.

Hu, Xia; Reaven, Peter D; Saremi, Aramesh; Liu, Ninghao; Abbasi, Mohammad Ali; Liu, Huan; Migrino, Raymond Q

Hu, Xia; Reaven, Peter D; Saremi, Aramesh; Liu, Ninghao; Abbasi, Mohammad Ali; Liu, Huan; Migrino, Raymond Q.

Afiliación

Hu X; Arizona State University, Tempe, AZ USA ; Texas A&M University, College Station, TX USA.
Reaven PD; Arizona State University, Tempe, AZ USA ; Phoenix Veterans Affairs Health Care System, Phoenix, AZ USA ; University of Arizona College of Medicine-Phoenix, Phoenix, AZ USA.
Saremi A; Phoenix Veterans Affairs Health Care System, Phoenix, AZ USA.
Liu N; Texas A&M University, College Station, TX USA.
Abbasi MA; Arizona State University, Tempe, AZ USA.
Liu H; Arizona State University, Tempe, AZ USA.
Migrino RQ; Phoenix Veterans Affairs Health Care System, Phoenix, AZ USA ; University of Arizona College of Medicine-Phoenix, Phoenix, AZ USA.

EURASIP J Bioinform Syst Biol ; 2016(1): 14, 2016 Dec.

Article en En | MEDLINE | ID: mdl-27642290

Palabras clave

Atherosclerosis; Diabetes; Machine learning; Model; Prognosis

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: EURASIP J Bioinform Syst Biol Año: 2016 Tipo del documento: Article Pais de publicación: Alemania

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