How do I/we forecast tomorrow's transfusion? A focus on recipients' profiles.

Choorapoikayil, Suma; Hof, Lotta; Old, Oliver; Steinbicker, Andrea; Meybohm, Patrick; Zacharowski, Kai

Choorapoikayil, Suma; Hof, Lotta; Old, Oliver; Steinbicker, Andrea; Meybohm, Patrick; Zacharowski, Kai.

Afiliación

Choorapoikayil S; Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Hospital Frankfurt, Goethe University, Frankfurt, Germany.
Hof L; Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Hospital Frankfurt, Goethe University, Frankfurt, Germany.
Old O; Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Hospital Frankfurt, Goethe University, Frankfurt, Germany.
Steinbicker A; Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Hospital Frankfurt, Goethe University, Frankfurt, Germany.
Meybohm P; Department of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Wuerzburg, Wuerzburg, Germany.
Zacharowski K; Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Hospital Frankfurt, Goethe University, Frankfurt, Germany. Electronic address: Kai.Zacharowski@kgu.de.

Transfus Clin Biol ; 30(1): 27-30, 2023 Feb.

Article en En | MEDLINE | ID: mdl-36108949

Asunto(s)

Inteligencia Artificial; Transfusión Sanguínea; Humanos; Transfusión de Eritrocitos/efectos adversos; Predicción

Palabras clave

Artificial intelligence; Blood transfusion; Economics; Hospital transfusion services; Patient Blood Management; Patient safety

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Transfusión Sanguínea / Inteligencia Artificial Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Transfus Clin Biol Asunto de la revista: HEMATOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Francia

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