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Development of a dynamic machine learning algorithm to predict clinical pregnancy and live birth rate with embryo morphokinetics.
Yang, Liubin; Peavey, Mary; Kaskar, Khalied; Chappell, Neil; Zhu, Lynn; Devlin, Darius; Valdes, Cecilia; Schutt, Amy; Woodard, Terri; Zarutskie, Paul; Cochran, Richard; Gibbons, William E.
Afiliação
  • Yang L; Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Baylor College of Medicine, Huston, Texas.
  • Peavey M; Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Baylor College of Medicine, Huston, Texas.
  • Kaskar K; Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Baylor College of Medicine, Huston, Texas.
  • Chappell N; Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Baylor College of Medicine, Huston, Texas.
  • Zhu L; Department of BioSciences, Rice University, Houston, Texas.
  • Devlin D; Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Baylor College of Medicine, Huston, Texas.
  • Valdes C; Interdepartmental Program in Translational Biology and Molecular Medicine, Baylor College of Medicine, Houston, Texas.
  • Schutt A; Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Baylor College of Medicine, Huston, Texas.
  • Woodard T; Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Baylor College of Medicine, Huston, Texas.
  • Zarutskie P; Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Baylor College of Medicine, Huston, Texas.
  • Cochran R; Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Baylor College of Medicine, Huston, Texas.
  • Gibbons WE; Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Baylor College of Medicine, Huston, Texas.
F S Rep ; 3(2): 116-123, 2022 Jun.
Article em En | MEDLINE | ID: mdl-35789724
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article