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Perspective Toward Machine Learning Implementation in Pediatric Medicine: Mixed Methods Study.
Alexander, Natasha; Aftandilian, Catherine; Guo, Lin Lawrence; Plenert, Erin; Posada, Jose; Fries, Jason; Fleming, Scott; Johnson, Alistair; Shah, Nigam; Sung, Lillian.
Afiliação
  • Alexander N; Division of Haematology/Oncology, The Hospital for Sick Children, Toronto, ON, Canada.
  • Aftandilian C; Division of Hematology/Oncology, Department of Pediatrics, Stanford University, Palo Alto, CA, United States.
  • Guo LL; Program in Child Health Evaluative Sciences, Peter Gilgan Centre for Research and Learning, Toronto, ON, Canada.
  • Plenert E; Program in Child Health Evaluative Sciences, Peter Gilgan Centre for Research and Learning, Toronto, ON, Canada.
  • Posada J; Department of Systems Engineering and Computing, Universidad del Norte, Barranquilla, Colombia.
  • Fries J; Stanford Center for Biomedical Informatics Research, Department of Biomedical Data Science, Stanford University, Palo Alto, CA, United States.
  • Fleming S; Stanford Center for Biomedical Informatics Research, Department of Biomedical Data Science, Stanford University, Palo Alto, CA, United States.
  • Johnson A; Program in Child Health Evaluative Sciences, Peter Gilgan Centre for Research and Learning, Toronto, ON, Canada.
  • Shah N; Stanford Center for Biomedical Informatics Research, Department of Biomedical Data Science, Stanford University, Palo Alto, CA, United States.
  • Sung L; Division of Haematology/Oncology, The Hospital for Sick Children, Toronto, ON, Canada.
JMIR Med Inform ; 10(11): e40039, 2022 Nov 17.
Article em En | MEDLINE | ID: mdl-36394938
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Qualitative_research Idioma: En Revista: JMIR Med Inform 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: Qualitative_research Idioma: En Revista: JMIR Med Inform Ano de publicação: 2022 Tipo de documento: Article