Inter-Rater Reliability of Unstructured Text Labeling: Artificially vs. Naturally Intelligent Approaches.

Danilov, Gleb; Kosyrkova, Alexandra; Shults, Maria; Melchenko, Semen; Tsukanova, Tatyana; Shifrin, Michael; Potapov, Alexander

Danilov, Gleb; Kosyrkova, Alexandra; Shults, Maria; Melchenko, Semen; Tsukanova, Tatyana; Shifrin, Michael; Potapov, Alexander.

Afiliación

Danilov G; Laboratory of Biomedical Informatics and Artificial Intelligence, National Medical Research Center for Neurosurgery named after N.N. Burdenko, Moscow, Russian Federation.
Kosyrkova A; Laboratory of Biomedical Informatics and Artificial Intelligence, National Medical Research Center for Neurosurgery named after N.N. Burdenko, Moscow, Russian Federation.
Shults M; Laboratory of Biomedical Informatics and Artificial Intelligence, National Medical Research Center for Neurosurgery named after N.N. Burdenko, Moscow, Russian Federation.
Melchenko S; Laboratory of Biomedical Informatics and Artificial Intelligence, National Medical Research Center for Neurosurgery named after N.N. Burdenko, Moscow, Russian Federation.
Tsukanova T; Laboratory of Biomedical Informatics and Artificial Intelligence, National Medical Research Center for Neurosurgery named after N.N. Burdenko, Moscow, Russian Federation.
Shifrin M; Laboratory of Biomedical Informatics and Artificial Intelligence, National Medical Research Center for Neurosurgery named after N.N. Burdenko, Moscow, Russian Federation.
Potapov A; Laboratory of Biomedical Informatics and Artificial Intelligence, National Medical Research Center for Neurosurgery named after N.N. Burdenko, Moscow, Russian Federation.

Stud Health Technol Inform ; 281: 118-122, 2021 May 27.

Article en En | MEDLINE | ID: mdl-34042717

Asunto(s)

Inteligencia Artificial; Procesamiento de Lenguaje Natural; Registros Electrónicos de Salud; Aprendizaje Automático; Reproducibilidad de los Resultados; Estudios Retrospectivos

Palabras clave

Machine Learning; Natural Language Processing; Neurosurgery; Pulmonary Embolism

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Lenguaje Natural / Inteligencia Artificial Tipo de estudio: Observational_studies Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2021 Tipo del documento: Article Pais de publicación: Países Bajos

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