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Validation of case definition algorithms for the ascertainment of congenital anomalies.
Nava de Escalante, Yonabeth; Abayomi, Aanu; Langlois, Sylvie; Ye, Xibiao; Erickson, Anders; Ngo, Henry; Armour, Rosemary; Okamoto, Reiko; Arbour, Laura; Bedard, Tanya; Der, Kenny; Van Allen, Margot; Skarsgard, Erik; Lavoie, Martin; Henry, Bonnie.
Afiliação
  • Nava de Escalante Y; British Columbia Ministry of Health, Victoria, British Columbia, Canada.
  • Abayomi A; British Columbia Ministry of Health, Victoria, British Columbia, Canada.
  • Langlois S; Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
  • Ye X; Perinatal Services British Columbia, Provincial Health Services Authority, Vancouver, British Columbia, Canada.
  • Erickson A; British Columbia Ministry of Health, Victoria, British Columbia, Canada.
  • Ngo H; Health Information Science, University of Victoria, Vancouver, British Columbia, Canada.
  • Armour R; British Columbia Ministry of Health, Victoria, British Columbia, Canada.
  • Okamoto R; British Columbia Ministry of Health, Victoria, British Columbia, Canada.
  • Arbour L; British Columbia Vital Statistics Agency, Vancouver, British Columbia, Canada.
  • Bedard T; British Columbia Ministry of Health, Victoria, British Columbia, Canada.
  • Der K; Digital Technologies Research Centre, National Research Council Canada, Ottawa, Ontario, Canada.
  • Van Allen M; Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
  • Skarsgard E; Community Genetics Research Program/Island Medical Program, University of Victoria, Victoria, British Columbia, Canada.
  • Lavoie M; Health Standards, Quality and Performance, Alberta Health, Edmonton, Alberta, Canada.
  • Henry B; Health Information Science, University of Victoria, Vancouver, British Columbia, Canada.
Birth Defects Res ; 115(3): 302-317, 2023 02 01.
Article em En | MEDLINE | ID: mdl-36369700
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos Tipo de estudo: Guideline Aspecto: Patient_preference Limite: Humans / Infant / Newborn País/Região como assunto: America do norte Idioma: En Revista: Birth Defects Res Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos Tipo de estudo: Guideline Aspecto: Patient_preference Limite: Humans / Infant / Newborn País/Região como assunto: America do norte Idioma: En Revista: Birth Defects Res Ano de publicação: 2023 Tipo de documento: Article