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A Bayesian latent class extension of naive Bayesian classifier and its application to the classification of gastric cancer patients.
Gohari, Kimiya; Kazemnejad, Anoshirvan; Mohammadi, Marjan; Eskandari, Farzad; Saberi, Samaneh; Esmaieli, Maryam; Sheidaei, Ali.
Afiliación
  • Gohari K; Department of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
  • Kazemnejad A; Department of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran. Kazem_an@modares.ac.ir.
  • Mohammadi M; HPGC Research Group, Department of Medical Biotechnology, Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran.
  • Eskandari F; Department of Statistics, Allameh Tabataba'i University, Tehran, Iran.
  • Saberi S; HPGC Research Group, Department of Medical Biotechnology, Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran.
  • Esmaieli M; HPGC Research Group, Department of Medical Biotechnology, Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran.
  • Sheidaei A; Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
BMC Med Res Methodol ; 23(1): 190, 2023 08 21.
Article en En | MEDLINE | ID: mdl-37605107
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Gástricas Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: BMC Med Res Methodol Asunto de la revista: MEDICINA Año: 2023 Tipo del documento: Article País de afiliación: Irán Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Gástricas Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: BMC Med Res Methodol Asunto de la revista: MEDICINA Año: 2023 Tipo del documento: Article País de afiliación: Irán Pais de publicación: Reino Unido