Clinical information extraction for preterm birth risk prediction.

Sterckx, Lucas; Vandewiele, Gilles; Dehaene, Isabelle; Janssens, Olivier; Ongenae, Femke; De Backere, Femke; De Turck, Filip; Roelens, Kristien; Decruyenaere, Johan; Van Hoecke, Sofie; Demeester, Thomas

Sterckx, Lucas; Vandewiele, Gilles; Dehaene, Isabelle; Janssens, Olivier; Ongenae, Femke; De Backere, Femke; De Turck, Filip; Roelens, Kristien; Decruyenaere, Johan; Van Hoecke, Sofie; Demeester, Thomas.

Afiliação

Sterckx L; IDLab, Ghent University - imec, Technologiepark-Zwijnaarde 126, Ghent, Belgium. Electronic address: lucas.sterckx@ugent.be.
Vandewiele G; IDLab, Ghent University - imec, Technologiepark-Zwijnaarde 126, Ghent, Belgium.
Dehaene I; Department of Gynaecology and Obstetrics, Ghent University Hospital, Corneel Heymanslaan 10, Ghent, Belgium.
Janssens O; IDLab, Ghent University - imec, Technologiepark-Zwijnaarde 126, Ghent, Belgium.
Ongenae F; IDLab, Ghent University - imec, Technologiepark-Zwijnaarde 126, Ghent, Belgium.
De Backere F; IDLab, Ghent University - imec, Technologiepark-Zwijnaarde 126, Ghent, Belgium.
De Turck F; IDLab, Ghent University - imec, Technologiepark-Zwijnaarde 126, Ghent, Belgium.
Roelens K; Department of Gynaecology and Obstetrics, Ghent University Hospital, Corneel Heymanslaan 10, Ghent, Belgium.
Decruyenaere J; Department of Intensive Care Medicine, Ghent University Hospital, Corneel Heymanslaan 10, Ghent, Belgium.
Van Hoecke S; IDLab, Ghent University - imec, Technologiepark-Zwijnaarde 126, Ghent, Belgium.
Demeester T; IDLab, Ghent University - imec, Technologiepark-Zwijnaarde 126, Ghent, Belgium.

J Biomed Inform ; 110: 103544, 2020 10.

Article em En | MEDLINE | ID: mdl-32858168

Assuntos

Nascimento Prematuro; Mineração de Dados; Registros Eletrônicos de Saúde; Feminino; Humanos; Recém-Nascido; Gravidez; Nascimento Prematuro/epidemiologia; Estudos Retrospectivos

Palavras-chave

Clinical decision support models; Clinical information extraction; Preterm birth; Text mining

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Nascimento Prematuro Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Newborn / Pregnancy Idioma: En Revista: J Biomed Inform Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article

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