Comparison between machine learning methods for mortality prediction for sepsis patients with different social determinants.

Wang, Hanyin; Li, Yikuan; Naidech, Andrew; Luo, Yuan

Wang, Hanyin; Li, Yikuan; Naidech, Andrew; Luo, Yuan.

Wang H; Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Li Y; Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Naidech A; Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Luo Y; Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA. Yuan.Luo@northwestern.edu.

BMC Med Inform Decis Mak ; 22(Suppl 2): 156, 2022 06 16.

Article en En | MEDLINE | ID: mdl-35710407

Asunto(s)

Sepsis; Determinantes Sociales de la Salud; Enfermedad Crítica; Mortalidad Hospitalaria; Humanos; Aprendizaje Automático; Estudios Retrospectivos; Sepsis/diagnóstico

Palabras clave

Disparity; Machine learning; Mortality prediction; Sepsis; Social determinants

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Sepsis / Determinantes Sociales de la Salud Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article

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