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Deep learning to predict fetal acidemia.
Keenan, Emerson; Georgieva, Antoniya; Brownfoot, Fiona C.
Afiliação
  • Keenan E; Department of Electrical Engineering, The University of Melbourne, Melbourne, Australia; Department of Obstetrics and Gynaecology, The University of Melbourne, Heidelberg, Australia. Electronic address: emerson.keenan@unimelb.edu.au.
  • Georgieva A; Nuffield Department of Women's & Reproductive Health, Level 3 Women's Centre, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom.
  • Brownfoot FC; Department of Obstetrics and Gynaecology, The University of Melbourne, Heidelberg, Australia.
Am J Obstet Gynecol ; 2024 Jul 30.
Article em En | MEDLINE | ID: mdl-39084497
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Am J Obstet Gynecol Ano de publicação: 2024 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Am J Obstet Gynecol Ano de publicação: 2024 Tipo de documento: Article