Physical performance strongly predicts all-cause mortality risk in a real-world population of older diabetic patients: machine learning approach for mortality risk stratification

BackgroundPrognostic risk stratification in older adults with type 2 diabetes (T2D) is important for guiding decisions concerning advance care planning.Materials and methodsA retrospective longitudinal study was conducted in a real-world sample of older diabetic patients afferent to the outpatient f...

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Autors principals:	Alberto Montesanto, Vincenzo Lagani, Liana Spazzafumo, Elena Tortato, Sonia Rosati, Andrea Corsonello, Luca Soraci, Jacopo Sabbatinelli, Antonio Cherubini, Maria Conte, Miriam Capri, Maria Capalbo, Fabrizia Lattanzio, Fabiola Olivieri, Anna Rita Bonfigli
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2024-04-01
Col·lecció:	Frontiers in Endocrinology
Matèries:	type 2 diabetes short physical performance battery older mortality machine learning decision tree analysis
Accés en línia:	https://www.frontiersin.org/articles/10.3389/fendo.2024.1359482/full
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