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...

Полное описание

Библиографические подробности

Главные авторы:	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
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Frontiers Media S.A. 2024-04-01
Серии:	Frontiers in Endocrinology
Предметы:	type 2 diabetes short physical performance battery older mortality machine learning decision tree analysis
Online-ссылка:	https://www.frontiersin.org/articles/10.3389/fendo.2024.1359482/full
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!