Deep learning <i>vs</i> conventional learning algorithms for clinical prediction in Crohn's disease: A proof-of-concept study.

Con, Danny; van Langenberg, Daniel R; Vasudevan, Abhinav

Deep learning vs conventional learning algorithms for clinical prediction in Crohn's disease: A proof-of-concept study.

Con, Danny; van Langenberg, Daniel R; Vasudevan, Abhinav.

Afiliação

Con D; Department of Gastroenterology and Hepatology, Eastern Health, Box Hill 3128, Victoria, Australia. dannycon302@gmail.com.
van Langenberg DR; Department of Gastroenterology and Hepatology, Eastern Health, Box Hill 3128, Victoria, Australia.
Vasudevan A; Department of Gastroenterology and Hepatology, Eastern Health, Box Hill 3128, Victoria, Australia.

World J Gastroenterol ; 27(38): 6476-6488, 2021 Oct 14.

Article em En | MEDLINE | ID: mdl-34720536

Assuntos

Doença de Crohn; Aprendizado Profundo; Adalimumab; Adulto; Algoritmos; Estudos de Coortes; Doença de Crohn/diagnóstico; Doença de Crohn/tratamento farmacológico; Feminino; Humanos; Infliximab; Masculino; Estudos Retrospectivos; Inibidores do Fator de Necrose Tumoral

Palavras-chave

Artificial intelligence; Deep learning; Machine learning; Personalized medicine; Precision medicine

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doença de Crohn / Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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