Prediction of blood lactate values in critically ill patients: a retrospective multi-center cohort study.

Mamandipoor, Behrooz; Yeung, Wesley; Agha-Mir-Salim, Louis; Stone, David J; Osmani, Venet; Celi, Leo Anthony

Mamandipoor, Behrooz; Yeung, Wesley; Agha-Mir-Salim, Louis; Stone, David J; Osmani, Venet; Celi, Leo Anthony.

Afiliación

Mamandipoor B; Fondazione Bruno Kessler Research Institute, Trento, Italy.
Yeung W; Laboratory for Computational Physiology, Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Agha-Mir-Salim L; University Medicine Cluster, National University Hospital, Kent Ridge, Singapore.
Stone DJ; Laboratory for Computational Physiology, Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Osmani V; Faculty of Medicine, University of Southampton, 12 University Rd, Southampton, SO17 1BJ, UK.
Celi LA; Departments of Anesthesiology and Neurosurgery, and the Center for Advanced Medical Analytics, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA.

J Clin Monit Comput ; 36(4): 1087-1097, 2022 08.

Article en En | MEDLINE | ID: mdl-34224051

Asunto(s)

Enfermedad Crítica; Ácido Láctico; Estudios de Cohortes; Humanos; Estudios Retrospectivos

Palabras clave

Critical illness; Deep learning; Lactate; Resuscitation; Time series

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Enfermedad Crítica / Ácido Láctico Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Clin Monit Comput Asunto de la revista: INFORMATICA MEDICA / MEDICINA Año: 2022 Tipo del documento: Article País de afiliación: Italia

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