A Deep Learning Approach to Refine the Identification of High-Quality Clinical Research Articles From the Biomedical Literature: Protocol for Algorithm Development and Validation.

Abdelkader, Wael; Navarro, Tamara; Parrish, Rick; Cotoi, Chris; Germini, Federico; Linkins, Lori-Ann; Iorio, Alfonso; Haynes, R Brian; Ananiadou, Sophia; Chu, Lingyang; Lokker, Cynthia

Abdelkader, Wael; Navarro, Tamara; Parrish, Rick; Cotoi, Chris; Germini, Federico; Linkins, Lori-Ann; Iorio, Alfonso; Haynes, R Brian; Ananiadou, Sophia; Chu, Lingyang; Lokker, Cynthia.

Afiliação

Abdelkader W; Health Information Research Unit, Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.
Navarro T; Health Information Research Unit, Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.
Parrish R; Health Information Research Unit, Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.
Cotoi C; Health Information Research Unit, Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.
Germini F; Health Information Research Unit, Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.
Linkins LA; Department of Medicine, McMaster University, Hamilton, ON, Canada.
Iorio A; Department of Medicine, McMaster University, Hamilton, ON, Canada.
Haynes RB; Health Information Research Unit, Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.
Ananiadou S; Department of Medicine, McMaster University, Hamilton, ON, Canada.
Chu L; Health Information Research Unit, Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.
Lokker C; Department of Medicine, McMaster University, Hamilton, ON, Canada.

JMIR Res Protoc ; 10(11): e29398, 2021 Nov 29.

Article em En | MEDLINE | ID: mdl-34847061

Palavras-chave

NLP; bioinformatics; biomedical; evidence-based medicine; literature; literature retrieval; literature surveillance; machine learning; medical informatics; model development; natural language processing

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Idioma: En Revista: JMIR Res Protoc Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Canadá

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