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Continuous time recurrent neural networks: Overview and benchmarking at forecasting blood glucose in the intensive care unit.
Fitzgerald, Oisin; Perez-Concha, Oscar; Gallego-Luxan, Blanca; Metke-Jimenez, Alejandro; Rudd, Lachlan; Jorm, Louisa.
Afiliación
  • Fitzgerald O; Centre for Big Data Research in Health, Level 2, AGSM Building, UNSW Sydney, NSW 2052, Australia. Electronic address: o.fitzgerald@unsw.edu.au.
  • Perez-Concha O; Centre for Big Data Research in Health, Level 2, AGSM Building, UNSW Sydney, NSW 2052, Australia.
  • Gallego-Luxan B; Centre for Big Data Research in Health, Level 2, AGSM Building, UNSW Sydney, NSW 2052, Australia.
  • Metke-Jimenez A; Australian e-Health Research Centre, Level 7, STARS Building - Surgical Treatment and Rehabilitation Service, 296 Herston Road, Herston, QLD 4029, Australia.
  • Rudd L; Data and Analytics, eHealth NSW, 1 Reserve Road, St Leonards NSW 2065, Australia.
  • Jorm L; Centre for Big Data Research in Health, Level 2, AGSM Building, UNSW Sydney, NSW 2052, Australia.
J Biomed Inform ; 146: 104498, 2023 10.
Article en En | MEDLINE | ID: mdl-37699466
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Glucemia / Benchmarking Tipo de estudio: Prognostic_studies Idioma: En Revista: J Biomed Inform Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article
Texto completo
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XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Glucemia / Benchmarking Tipo de estudio: Prognostic_studies Idioma: En Revista: J Biomed Inform Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article