Time-resolved trajectory of glucose lowering medications and cardiovascular outcomes in type 2 diabetes: a recurrent neural network analysis

Abstract Aim Treatment algorithms define lines of glucose lowering medications (GLM) for the management of type 2 diabetes (T2D), but whether therapeutic trajectories are associated with major adverse cardiovascular events (MACE) is unclear. We explored whether the temporal resolution of GLM usage d...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Enrico Longato, Barbara Di Camillo, Giovanni Sparacino, Angelo Avogaro, Gian Paolo Fadini
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	BMC 2022-08-01
Schriftenreihe:	Cardiovascular Diabetology
Schlagworte:	Artificial intelligence Prediction Algorithm Epidemiology
Online-Zugang:	https://doi.org/10.1186/s12933-022-01600-x
Tags:	Tag hinzufügen Keine Tags, Fügen Sie das erste Tag hinzu!