Machine learning-based identification and rule-based normalization of adverse drug reactions in drug labels.

Tiftikci, Mert; Özgür, Arzucan; He, Yongqun; Hur, Junguk

Tiftikci, Mert; Özgür, Arzucan; He, Yongqun; Hur, Junguk.

Afiliación

Tiftikci M; Department of Computer Engineering, Bogaziçi University, Istanbul, 34342, Turkey.
Özgür A; Department of Computer Engineering, Bogaziçi University, Istanbul, 34342, Turkey.
He Y; Unit for Laboratory Animal Medicine, Department of Microbiology and Immunology, Center for Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, 48109, MI, USA.
Hur J; Department of Biomedical Sciences, University of North Dakota School of Medicine and Health Sciences, 1301 North Columbia Rd, Grand Forks, North Dakota, 58202, USA. junguk.hur@med.und.edu.

BMC Bioinformatics ; 20(Suppl 21): 707, 2019 Dec 23.

Article en En | MEDLINE | ID: mdl-31865904

Asunto(s)

Etiquetado de Medicamentos; Efectos Colaterales y Reacciones Adversas Relacionados con Medicamentos; Aprendizaje Automático; Minería de Datos; Aprendizaje Profundo; Redes Neurales de la Computación; Estados Unidos; United States Food and Drug Administration

Palabras clave

Adverse drug reaction; Deep learning; Entity normalization; Entity recognition; Machine learning; Text mining

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Etiquetado de Medicamentos / Efectos Colaterales y Reacciones Adversas Relacionados con Medicamentos / Aprendizaje Automático Tipo de estudio: Diagnostic_studies / Prognostic_studies País/Región como asunto: America do norte Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Turquía

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