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Evaluation of machine learning-based models for prediction of clinical deterioration: A systematic literature review.
Jahandideh, Sepideh; Ozavci, Guncag; Sahle, Berhe W; Kouzani, Abbas Z; Magrabi, Farah; Bucknall, Tracey.
Afiliação
  • Jahandideh S; School of Nursing and Midwifery, Deakin University, Geelong, Victoria 3220, Australia. Electronic address: s.jahandideh@deakin.edu.au.
  • Ozavci G; School of Nursing and Midwifery, Deakin University, Geelong, Victoria 3220, Australia; Centre for Quality and Patient Safety Research- Alfred Health Partnership, Institute for Health Transformation, Deakin University, Geelong, Victoria 3220, Australia.
  • Sahle BW; School of Nursing and Midwifery, Deakin University, Geelong, Victoria 3220, Australia; Centre for Quality and Patient Safety Research- Alfred Health Partnership, Institute for Health Transformation, Deakin University, Geelong, Victoria 3220, Australia.
  • Kouzani AZ; School of Engineering, Deakin University, Geelong, Victoria 3216, Australia.
  • Magrabi F; Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, North Ryde, New South Wales 2109, Australia.
  • Bucknall T; School of Nursing and Midwifery, Deakin University, Geelong, Victoria 3220, Australia; Centre for Quality and Patient Safety Research- Alfred Health Partnership, Institute for Health Transformation, Deakin University, Geelong, Victoria 3220, Australia.
Int J Med Inform ; 175: 105084, 2023 07.
Article em En | MEDLINE | ID: mdl-37156168
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 Base de dados: MEDLINE Assunto principal: Deterioração Clínica Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Humans Idioma: En Revista: Int J Med Inform 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 Contexto em Saúde: 1_ASSA2030 Base de dados: MEDLINE Assunto principal: Deterioração Clínica Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Humans Idioma: En Revista: Int J Med Inform Ano de publicação: 2023 Tipo de documento: Article