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Isabelle Peytremann-Bridevaux

University of Lausanne - Department of Epidemiology and Health Systems

Switzerland

  • University of Lausanne - Department of Epidemiology and Health Systems

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Scholarly Papers (1)

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Development and Validation of a Knowledge-Based Score to Predict Fried's Frailty Phenotype Across Multiple Settings Using One-Year Hospital Discharge Data: The Electronic Frailty Score

Number of pages: 31 Posted: 03 Sep 2021
Marie-Annick Le Pogam, Laurence Seematter-Bagnoud, Tapio Niemi, Dan Assouline, Nathan Gross, Bastien Trächsel, Valentin Rousson, Isabelle Peytremann-Bridevaux, Bernard Burnand and Brigitte Santos-Eggimann
University of Lausanne - Department of Epidemiology and Health Systems, University of Lausanne - Department of Epidemiology and Health Systems, University of Lausanne - Department of Epidemiology and Health Systems, University of Lausanne - Department of Epidemiology and Health Systems, University of Lausanne - Department of Epidemiology and Health Systems, University of Lausanne - Center for Primary Care and Public Health, University of Lausanne - Center for Primary Care and Public Health, University of Lausanne - Department of Epidemiology and Health Systems, University of Lausanne - Department of Epidemiology and Health Systems and University of Lausanne - Department of Epidemiology and Health Systems
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Abstract:

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frailty, ICD-10, supervised machine learning, geriatric assessment, routinely collected health data