Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records.

Tang, Yucheng; Gao, Riqiang; Lee, Ho Hin; Wells, Quinn Stanton; Spann, Ashley; Terry, James G; Carr, John J; Huo, Yuankai; Bao, Shunxing; Landman, Bennett A

Tang, Yucheng; Gao, Riqiang; Lee, Ho Hin; Wells, Quinn Stanton; Spann, Ashley; Terry, James G; Carr, John J; Huo, Yuankai; Bao, Shunxing; Landman, Bennett A.

Afiliação

Tang Y; Vanderbilt University, , Nashville, USA.
Gao R; Vanderbilt University, , Nashville, USA.
Lee HH; Vanderbilt University, , Nashville, USA.
Wells QS; Vanderbilt University Medical Center, , Nashville, USA.
Spann A; Vanderbilt University Medical Center, , Nashville, USA.
Terry JG; Vanderbilt University Medical Center, , Nashville, USA.
Carr JJ; Vanderbilt University Medical Center, , Nashville, USA.
Huo Y; Vanderbilt University, , Nashville, USA.
Bao S; Vanderbilt University, , Nashville, USA.
Landman BA; Vanderbilt University, , Nashville, USA.

Multimodal Learn Clin Decis Support Clin Image Based Proc (2020) ; 12445: 13-23, 2020 Oct.

Article em En | MEDLINE | ID: mdl-34113927

Palavras-chave

Computed tomography; Disease onset prediction; Electronic medical records; Metabolic syndrome; Type II diabetes

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Multimodal Learn Clin Decis Support Clin Image Based Proc (2020) Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

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