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Artificial intelligence and amniotic fluid multiomics: prediction of perinatal outcome in asymptomatic women with short cervix.
Bahado-Singh, R O; Sonek, J; McKenna, D; Cool, D; Aydas, B; Turkoglu, O; Bjorndahl, T; Mandal, R; Wishart, D; Friedman, P; Graham, S F; Yilmaz, A.
Afiliación
  • Bahado-Singh RO; Department of Obstetrics and Gynecology, Beaumont Research Institute, Royal Oak, MI, USA.
  • Sonek J; Division of Maternal Fetal Medicine, Wright State University, Dayton, OH, USA.
  • McKenna D; Department of Obstetrics and Gynecology, Miami Valley Hospital South, Tampa, FL, USA.
  • Cool D; Department of Pharmacology and Toxicology, Wright State University, Dayton, OH, USA.
  • Aydas B; Department of Computer Science, Albion College, Albion, MI, USA.
  • Turkoglu O; Department of Obstetrics and Gynecology, Beaumont Research Institute, Royal Oak, MI, USA.
  • Bjorndahl T; Department of Biological Science, University of Alberta, Edmonton, AB, Canada.
  • Mandal R; Department of Biological Science, University of Alberta, Edmonton, AB, Canada.
  • Wishart D; Department of Biological Science, University of Alberta, Edmonton, AB, Canada.
  • Friedman P; Department of Obstetrics and Gynecology, Beaumont Research Institute, Royal Oak, MI, USA.
  • Graham SF; Department of Obstetrics and Gynecology, Beaumont Research Institute, Royal Oak, MI, USA.
  • Yilmaz A; Department of Obstetrics and Gynecology, Beaumont Research Institute, Royal Oak, MI, USA.
Ultrasound Obstet Gynecol ; 54(1): 110-118, 2019 Jul.
Article en En | MEDLINE | ID: mdl-30381856
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Cuello del Útero / Proteómica / Metabolómica / Líquido Amniótico Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Female / Humans / Pregnancy Idioma: En Revista: Ultrasound Obstet Gynecol Asunto de la revista: DIAGNOSTICO POR IMAGEM / GINECOLOGIA / OBSTETRICIA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Cuello del Útero / Proteómica / Metabolómica / Líquido Amniótico Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Female / Humans / Pregnancy Idioma: En Revista: Ultrasound Obstet Gynecol Asunto de la revista: DIAGNOSTICO POR IMAGEM / GINECOLOGIA / OBSTETRICIA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido