Machine Learning for Postoperative Continuous Recovery Scores of Oncology Patients in Perioperative Care with Data from Wearables.

van den Eijnden, Meike A C; van der Stam, Jonna A; Bouwman, R Arthur; Mestrom, Eveline H J; Verhaegh, Wim F J; van Riel, Natal A W; Cox, Lieke G E

van den Eijnden, Meike A C; van der Stam, Jonna A; Bouwman, R Arthur; Mestrom, Eveline H J; Verhaegh, Wim F J; van Riel, Natal A W; Cox, Lieke G E.

Afiliación

van den Eijnden MAC; Philips Research, 5656 AE Eindhoven, The Netherlands.
van der Stam JA; Department Biomedical Engineering, Eindhoven University of Technology, 5612 AE Eindhoven, The Netherlands.
Bouwman RA; Department Biomedical Engineering, Eindhoven University of Technology, 5612 AE Eindhoven, The Netherlands.
Mestrom EHJ; Department of Clinical Chemistry, Catharina Hospital, 5602 ZA Eindhoven, The Netherlands.
Verhaegh WFJ; Department of Anaesthesiology, Catharina Hospital, 5602 ZA Eindhoven, The Netherlands.
van Riel NAW; Department of Electrical Engineering, Eindhoven University of Technology, 5612 AE Eindhoven, The Netherlands.
Cox LGE; Department of Anaesthesiology, Catharina Hospital, 5602 ZA Eindhoven, The Netherlands.

Sensors (Basel) ; 23(9)2023 May 02.

Article en En | MEDLINE | ID: mdl-37177659

Asunto(s)

Neoplasias; Dispositivos Electrónicos Vestibles; Humanos; Algoritmos; Atención Perioperativa; Aprendizaje Automático

Palabras clave

clinical prediction; hospital discharge; machine learning; monitoring; oncology; physical activity; post-operative recovery; vital signs; wearable sensors

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Dispositivos Electrónicos Vestibles / Neoplasias Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Países Bajos

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