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Identifying risk of stillbirth using machine learning.
Cersonsky, Tess E K; Ayala, Nina K; Pinar, Halit; Dudley, Donald J; Saade, George R; Silver, Robert M; Lewkowitz, Adam K.
Afiliação
  • Cersonsky TEK; Department of Obstetrics & Gynecology, Women & Infants Hospital of Rhode Island, Warren Alpert Medical School of Brown University, Providence, RI. Electronic address: tess.cersonsky@gmail.com.
  • Ayala NK; Department of Obstetrics & Gynecology, Women & Infants Hospital of Rhode Island, Warren Alpert Medical School of Brown University, Providence, RI.
  • Pinar H; Department of Pathology, Women & Infants Hospital of Rhode Island, Warren Alpert Medical School of Brown University, Providence, RI.
  • Dudley DJ; Department of Obstetrics & Gynecology, University of Virginia, Charlottesville, VA.
  • Saade GR; Department of Obstetrics & Gynecology, Eastern Virginia Medical School, Norfolk, VA.
  • Silver RM; Department of Obstetrics & Gynecology, University of Utah Health, Salt Lake City, UT.
  • Lewkowitz AK; Department of Obstetrics & Gynecology, Women & Infants Hospital of Rhode Island, Warren Alpert Medical School of Brown University, Providence, RI.
Am J Obstet Gynecol ; 229(3): 327.e1-327.e16, 2023 09.
Article em En | MEDLINE | ID: mdl-37315754
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Cuidado Pré-Natal / Natimorto Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Infant / Pregnancy Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Cuidado Pré-Natal / Natimorto Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Infant / Pregnancy Idioma: En Ano de publicação: 2023 Tipo de documento: Article