Automatic recognition of disorders, findings, pharmaceuticals and body structures from clinical text: an annotation and machine learning study.

Skeppstedt, Maria; Kvist, Maria; Nilsson, Gunnar H; Dalianis, Hercules

Skeppstedt, Maria; Kvist, Maria; Nilsson, Gunnar H; Dalianis, Hercules.

Afiliação

Skeppstedt M; Department of Computer and Systems Sciences (DSV), Stockholm University, Forum 100, SE-164 40 Kista, Sweden. Electronic address: mariask@dsv.su.se.
Kvist M; Department of Computer and Systems Sciences (DSV), Stockholm University, Forum 100, SE-164 40 Kista, Sweden; Department of Clinical Immunology and Transfusion Medicine, Karolinska University Hospital, Stockholm, Sweden; Department of Learning, Informatics, Management and Ethics (LIME), Karolinska In
Nilsson GH; Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
Dalianis H; Department of Computer and Systems Sciences (DSV), Stockholm University, Forum 100, SE-164 40 Kista, Sweden.

J Biomed Inform ; 49: 148-58, 2014 Jun.

Article em En | MEDLINE | ID: mdl-24508177

Assuntos

Inteligência Artificial; Automação; Doença; Humanos

Palavras-chave

Clinical text processing; Corpora development; Disorder; Finding; Named entity recognition; Swedish

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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Automação / Inteligência Artificial / Doença Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: J Biomed Inform Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2014 Tipo de documento: Article

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