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Machine learning to predict poor school performance in paediatric survivors of intensive care: a population-based cohort study.
Gilholm, Patricia; Gibbons, Kristen; Brüningk, Sarah; Klatt, Juliane; Vaithianathan, Rhema; Long, Debbie; Millar, Johnny; Tomaszewski, Wojtek; Schlapbach, Luregn J.
Afiliação
  • Gilholm P; Child Health Research Centre, The University of Queensland, Brisbane, QLD, Australia.
  • Gibbons K; Child Health Research Centre, The University of Queensland, Brisbane, QLD, Australia.
  • Brüningk S; Department of Biosystems Science and Engineering, ETH Zurich, 4058, Basel, Switzerland.
  • Klatt J; SIB Swiss Institute of Bioinformatics, 1015, Lausanne, Switzerland.
  • Vaithianathan R; Department of Biosystems Science and Engineering, ETH Zurich, 4058, Basel, Switzerland.
  • Long D; SIB Swiss Institute of Bioinformatics, 1015, Lausanne, Switzerland.
  • Millar J; Institute for Social Science Research, The University of Queensland, Brisbane, QLD, Australia.
  • Tomaszewski W; Child Health Research Centre, The University of Queensland, Brisbane, QLD, Australia.
  • Schlapbach LJ; School of Nursing, Centre for Healthcare Transformation, Queensland University of Technology, Brisbane, QLD, Australia.
Intensive Care Med ; 49(7): 785-795, 2023 07.
Article em En | MEDLINE | ID: mdl-37354231
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cuidados Críticos / Aprendizado de Máquina Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Child / Humans Idioma: En Revista: Intensive Care Med Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cuidados Críticos / Aprendizado de Máquina Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Child / Humans Idioma: En Revista: Intensive Care Med Ano de publicação: 2023 Tipo de documento: Article