Electronic medical record-based deep data cleaning and phenotyping improve the diagnostic validity and mortality assessment of infective endocarditis: medical big data initiative of CMUH.

Chiang, Hsiu-Yin; Liang, Li-Ying; Lin, Che-Chen; Chen, Yi-Jin; Wu, Min-Yen; Chen, Sheng-Hsuan; Wu, Pin-Hua; Kuo, Chin-Chi; Chi, Chih-Yu

Chiang, Hsiu-Yin; Liang, Li-Ying; Lin, Che-Chen; Chen, Yi-Jin; Wu, Min-Yen; Chen, Sheng-Hsuan; Wu, Pin-Hua; Kuo, Chin-Chi; Chi, Chih-Yu.

Afiliação

Chiang HY; Big Data Center, China Medical University Hospital, Taichung, Taiwan.
Liang LY; Division of Infectious Diseases, Department of Internal Medicine, China Medical University Hospital, Taichung, Taiwan.
Lin CC; Big Data Center, China Medical University Hospital, Taichung, Taiwan.
Chen YJ; Department of Medical Research, China Medical University Hospital, Taichung, Taiwan.
Wu MY; Big Data Center, China Medical University Hospital, Taichung, Taiwan.
Chen SH; Big Data Center, China Medical University Hospital, Taichung, Taiwan.
Wu PH; Department of Computer Science, National Tsing-Hua University, Hsinchu, Taiwan.
Kuo CC; Big Data Center, China Medical University Hospital, Taichung, Taiwan.
Chi CY; Department of Medical Research, China Medical University Hospital, Taichung, Taiwan.

Biomedicine (Taipei) ; 11(3): 59-67, 2021.

Article em En | MEDLINE | ID: mdl-35223412

Palavras-chave

Disease phenotyping; Electronic medical record; Infective endocarditis; International Classification of Diseases; Positive predictive value

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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Biomedicine (Taipei) Ano de publicação: 2021 Tipo de documento: Article

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