Prediction of delirium using data mining: A systematic review.

Chua, S J; Wrigley, S; Hair, C; Sahathevan, R

Chua, S J; Wrigley, S; Hair, C; Sahathevan, R.

Chua SJ; Ballarat Health Services, Ballarat, Australia. Electronic address: chua.sujen@gmail.com.
Wrigley S; Ballarat Health Services, Ballarat, Australia.
Hair C; Ballarat Health Services, Ballarat, Australia.
Sahathevan R; Ballarat Health Services, Ballarat, Australia; School of Medicine, Deakin University, Geelong, Australia; Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia.

J Clin Neurosci ; 91: 288-298, 2021 Sep.

Article en En | MEDLINE | ID: mdl-34373042

Asunto(s)

Delirio; Área Bajo la Curva; Minería de Datos; Delirio/diagnóstico; Delirio/epidemiología; Humanos; Tiempo de Internación; Estudios Retrospectivos

Palabras clave

Association mining; Big data; Data mining; Delirium; Machine learning; Systematic review

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Delirio Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Límite: Humans Idioma: En Año: 2021 Tipo del documento: Article

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