Using machine-learning algorithms to identify patients at high risk of upper gastrointestinal lesions for endoscopy.

Liu, Yongjia; Lin, Da; Li, Lan; Chen, Yu; Wen, Jiayao; Lin, Yiguang; He, Xingxiang

Liu, Yongjia; Lin, Da; Li, Lan; Chen, Yu; Wen, Jiayao; Lin, Yiguang; He, Xingxiang.

Afiliación

Liu Y; Department of Gastroenterology, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China.
Lin D; Department of Gastroenterology, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China.
Li L; Department of Gastroenterology, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China.
Chen Y; Department of Gastroenterology, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China.
Wen J; Department of Gastroenterology, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China.
Lin Y; School of Life Sciences, University of Technology Sydney, Broadway, New South Wales, Australia.
He X; Department of Gastroenterology, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China.

J Gastroenterol Hepatol ; 36(10): 2735-2744, 2021 Oct.

Article en En | MEDLINE | ID: mdl-33929063

Asunto(s)

Endoscopía Gastrointestinal; Aprendizaje Automático; Neoplasias Gástricas/diagnóstico; Adulto; Algoritmos; Inteligencia Artificial; China; Enfermedades Duodenales/diagnóstico; Enfermedades del Esófago/diagnóstico; Femenino; Humanos; Modelos Logísticos; Masculino; Tamizaje Masivo; Persona de Mediana Edad; Selección de Paciente; Medición de Riesgo

Palabras clave

artificial intelligence; digestive diseases; endoscopy; machine-learning; upper gastrointestinal lesions

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Gástricas / Endoscopía Gastrointestinal / Aprendizaje Automático Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Adult / Female / Humans / Male / Middle aged País/Región como asunto: Asia Idioma: En Revista: J Gastroenterol Hepatol Asunto de la revista: GASTROENTEROLOGIA Año: 2021 Tipo del documento: Article País de afiliación: China

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