Development and Evaluation of a Prediction Model for Ascertaining Rheumatic Heart Disease Status in Administrative Data.

Bond-Smith, D; Seth, R; de Klerk, N; Nedkoff, L; Anderson, M; Hung, J; Cannon, J; Griffiths, K; Katzenellenbogen, J M

Bond-Smith, D; Seth, R; de Klerk, N; Nedkoff, L; Anderson, M; Hung, J; Cannon, J; Griffiths, K; Katzenellenbogen, J M.

Afiliação

Bond-Smith D; School of Population and Global Health, The University of Western Australia, Perth, Australia.
Seth R; School of Population and Global Health, The University of Western Australia, Perth, Australia.
de Klerk N; School of Population and Global Health, The University of Western Australia, Perth, Australia.
Nedkoff L; Telethon Kids Institute, Perth, Australia.
Anderson M; School of Population and Global Health, The University of Western Australia, Perth, Australia.
Hung J; Queensland Health, Brisbane, Australia.
Cannon J; School of Population and Global Health, The University of Western Australia, Perth, Australia.
Griffiths K; School of Population and Global Health, The University of Western Australia, Perth, Australia.
Katzenellenbogen JM; Telethon Kids Institute, Perth, Australia.

Clin Epidemiol ; 12: 717-730, 2020.

Article em En | MEDLINE | ID: mdl-32753974

Palavras-chave

Australia; acute rheumatic fever; administrative data; case ascertainment; discrimination; international classification of diseases; non-rheumatic valvular heart disease; prediction; receiver operating curve; rheumatic heart disease; validation

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Clin Epidemiol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Austrália

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google