Using artificial intelligence in a primary care setting to identify patients at risk for cancer: a risk prediction model based on routine laboratory tests.

Soerensen, Patricia Diana; Christensen, Henry; Gray Worsoe Laursen, Soeren; Hardahl, Christian; Brandslund, Ivan; Madsen, Jonna Skov

Soerensen, Patricia Diana; Christensen, Henry; Gray Worsoe Laursen, Soeren; Hardahl, Christian; Brandslund, Ivan; Madsen, Jonna Skov.

Afiliação

Soerensen PD; Department of Clinical Biochemistry and Immunology, Lillebaelt Hospital, University Hospital of Southern Denmark, Vejle, Denmark.
Christensen H; Department of Clinical Biochemistry and Immunology, Lillebaelt Hospital, University Hospital of Southern Denmark, Vejle, Denmark.
Gray Worsoe Laursen S; The Danish Cancer Society, Copenhagen, Denmark.
Hardahl C; SAS Institute A/S, Aarhus, Denmark.
Brandslund I; Department of Regional Health Research, University of Southern Denmark, Odense, Denmark.
Madsen JS; Department of Clinical Biochemistry and Immunology, Lillebaelt Hospital, University Hospital of Southern Denmark, Vejle, Denmark.

Clin Chem Lab Med ; 60(12): 2005-2016, 2022 11 25.

Article em En | MEDLINE | ID: mdl-34714986

Assuntos

Inteligência Artificial; Neoplasias; Humanos; Curva ROC; Sensibilidade e Especificidade; Neoplasias/diagnóstico; Atenção Primária à Saúde

Palavras-chave

artificial intelligence (AI) blood; cancer; predictive; score

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Neoplasias Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Clin Chem Lab Med Assunto da revista: QUIMICA CLINICA / TECNICAS E PROCEDIMENTOS DE LABORATORIO Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Dinamarca

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