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Cross-Sectional Observational Study of Typical in utero Fetal Movements Using Machine Learning.
Vasung, Lana; Xu, Junshen; Abaci-Turk, Esra; Zhou, Cindy; Holland, Elizabeth; Barth, William H; Barnewolt, Carol; Connolly, Susan; Estroff, Judy; Golland, Polina; Feldman, Henry A; Adalsteinsson, Elfar; Grant, P Ellen.
Afiliação
  • Vasung L; Department of Pediatrics, Boston Children's Hospital, and Harvard Medical School, Boston, Massachusetts, USA.
  • Xu J; Department of Electrical Engineering and Computer Science, MIT, Cambridge, Massachusetts, USA.
  • Abaci-Turk E; Department of Pediatrics, Boston Children's Hospital, and Harvard Medical School, Boston, Massachusetts, USA.
  • Zhou C; Department of Pediatrics, Boston Children's Hospital, and Harvard Medical School, Boston, Massachusetts, USA.
  • Holland E; Department of Pediatrics, Boston Children's Hospital, and Harvard Medical School, Boston, Massachusetts, USA.
  • Barth WH; Department of Obstetrics and Gynecology, Massachusetts General Hospital, and Harvard Medical School, Boston, Massachusetts, USA.
  • Barnewolt C; Department of Radiology, Boston Children's Hospital, and Harvard Medical School, Boston, Massachusetts, USA.
  • Connolly S; Department of Radiology, Boston Children's Hospital, and Harvard Medical School, Boston, Massachusetts, USA.
  • Estroff J; Department of Radiology, Boston Children's Hospital, and Harvard Medical School, Boston, Massachusetts, USA.
  • Golland P; Department of Electrical Engineering and Computer Science, MIT, Cambridge, Massachusetts, USA.
  • Feldman HA; Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, Massachusetts, USA.
  • Adalsteinsson E; Institute for Medical Engineering and Science, MIT, Cambridge, Massachusetts, USA.
  • Grant PE; Department of Pediatrics, Boston Children's Hospital, and Harvard Medical School, Boston, Massachusetts, USA.
Dev Neurosci ; 45(3): 105-114, 2023.
Article em En | MEDLINE | ID: mdl-36538911
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Placenta / Hiperóxia Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Female / Humans / Middle aged / Pregnancy Idioma: En Revista: Dev Neurosci Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Placenta / Hiperóxia Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Female / Humans / Middle aged / Pregnancy Idioma: En Revista: Dev Neurosci Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos