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Risk prediction of delirium in hospitalized patients using machine learning: An implementation and prospective evaluation study.
Jauk, Stefanie; Kramer, Diether; Großauer, Birgit; Rienmüller, Susanne; Avian, Alexander; Berghold, Andrea; Leodolter, Werner; Schulz, Stefan.
Afiliación
  • Jauk S; Department of Information and Process Management, Steiermärkische Krankenanstaltengesellschaft m.b.H. (KAGes), Graz, Austria.
  • Kramer D; Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria.
  • Großauer B; Department of Information and Process Management, Steiermärkische Krankenanstaltengesellschaft m.b.H. (KAGes), Graz, Austria.
  • Rienmüller S; Department of Internal Medicine, Steiermärkische Krankenanstaltengesellschaft m.b.H. (KAGes) LKH Graz II, Graz, Austria.
  • Avian A; Department of Internal Medicine, Steiermärkische Krankenanstaltengesellschaft m.b.H. (KAGes) LKH Graz II, Graz, Austria.
  • Berghold A; Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria.
  • Leodolter W; Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria.
  • Schulz S; Department of Information and Process Management, Steiermärkische Krankenanstaltengesellschaft m.b.H. (KAGes), Graz, Austria.
J Am Med Inform Assoc ; 27(9): 1383-1392, 2020 07 01.
Article en En | MEDLINE | ID: mdl-32968811
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Algoritmos / Medición de Riesgo / Delirio / Aprendizaje Automático Tipo de estudio: Etiology_studies / Evaluation_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Am Med Inform Assoc Asunto de la revista: INFORMATICA MEDICA Año: 2020 Tipo del documento: Article
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Algoritmos / Medición de Riesgo / Delirio / Aprendizaje Automático Tipo de estudio: Etiology_studies / Evaluation_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Am Med Inform Assoc Asunto de la revista: INFORMATICA MEDICA Año: 2020 Tipo del documento: Article