Conversion of National Health Insurance Service-National Sample Cohort (NHIS-NSC) Database into Observational Medical Outcomes Partnership-Common Data Model (OMOP-CDM).

You, Seng Chan; Lee, Seongwon; Cho, Soo-Yeon; Park, Hojun; Jung, Sungjae; Cho, Jaehyeong; Yoon, Dukyong; Park, Rae Woong

You, Seng Chan; Lee, Seongwon; Cho, Soo-Yeon; Park, Hojun; Jung, Sungjae; Cho, Jaehyeong; Yoon, Dukyong; Park, Rae Woong.

Afiliação

You SC; Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea.
Lee S; Center for Education Artificial Intelligence, Dankook University, Yongin, Korea.
Cho SY; Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea.
Park H; Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea.
Jung S; Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea.
Cho J; Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea.
Yoon D; Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea.
Park RW; Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea.

Stud Health Technol Inform ; 245: 467-470, 2017.

Article em En | MEDLINE | ID: mdl-29295138

Assuntos

Pesquisa Biomédica; Bases de Dados Factuais; Programas Nacionais de Saúde; Estudos de Coortes; Humanos; Informática Médica

Palavras-chave

Database; Delivery of Health Care; Medical Informatics Application

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Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bases de Dados Factuais / Pesquisa Biomédica / Programas Nacionais de Saúde Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Stud Health Technol Inform Ano de publicação: 2017 Tipo de documento: Article

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