Evaluation of available risk scores to predict multiple cardiovascular complications for patients with type 2 diabetes mellitus using electronic health records.

Ho, Joyce C; Staimez, Lisa R; Narayan, K M Venkat; Ohno-Machado, Lucila; Simpson, Roy L; Hertzberg, Vicki Stover

Ho, Joyce C; Staimez, Lisa R; Narayan, K M Venkat; Ohno-Machado, Lucila; Simpson, Roy L; Hertzberg, Vicki Stover.

Affiliation

Ho JC; Department of Computer Science, Emory University, 400 Dowman Drive, Atlanta, GA 30322, United States.
Staimez LR; Hubert Department of Global Health, Rollins School of Public Health, Emory University, United States.
Narayan KMV; Hubert Department of Global Health, Rollins School of Public Health, Emory University, United States.
Ohno-Machado L; Department of Biomedical Informatics, School of Medicine, University of California San Diego, United States.
Simpson RL; Center for Data Science, Nell Hodgson Woodruff School of Nursing, Emory University, United States.
Hertzberg VS; Center for Data Science, Nell Hodgson Woodruff School of Nursing, Emory University, United States.

Comput Methods Programs Biomed Update ; 32023.

Article de En | MEDLINE | ID: mdl-37332899

Mots clés

Cardiovascular disease; Electronic health records; Risk models; Type 2 diabetes

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Etiology_studies / Prognostic_studies / Risk_factors_studies Aspects: Patient_preference Langue: En Journal: Comput Methods Programs Biomed Update Année: 2023 Type de document: Article Pays d'affiliation: États-Unis d'Amérique Pays de publication: Pays-Bas

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