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CNFE-SE: a novel approach combining complex network-based feature engineering and stacked ensemble to predict the success of intrauterine insemination and ranking the features.
Ranjbari, Sima; Khatibi, Toktam; Vosough Dizaji, Ahmad; Sajadi, Hesamoddin; Totonchi, Mehdi; Ghaffari, Firouzeh.
Afiliação
  • Ranjbari S; School of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran.
  • Khatibi T; School of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran. toktam.khatibi@modares.ac.ir.
  • Vosough Dizaji A; Department of Genetics At Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran.
  • Sajadi H; Department of Andrology, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran.
  • Totonchi M; Department of Reproductive Imaging, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran. m.totonchi@royaninstitute.org.
  • Ghaffari F; Department of Andrology, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran. m.totonchi@royaninstitute.org.
BMC Med Inform Decis Mak ; 21(1): 1, 2021 01 02.
Article em En | MEDLINE | ID: mdl-33388057

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Motilidade dos Espermatozoides / Análise do Sêmen Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male / Pregnancy Idioma: En Revista: BMC Med Inform Decis Mak Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Irã

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Motilidade dos Espermatozoides / Análise do Sêmen Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male / Pregnancy Idioma: En Revista: BMC Med Inform Decis Mak Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Irã