Código QR (código de barras bidimensional)

Long-term forecasting of a motor outcome following rehabilitation in chronic stroke via a hierarchical bayesian dynamic model

Abstract Background Given the heterogeneity of stroke, it is important to determine the best course of motor therapy for each patient, i.e., to personalize rehabilitation based on predictions of long-term outcomes. Here, we propose a hierarchical Bayesian dynamic (i.e., state-space) model (HBDM) to...

Fuld beskrivelse

Na minha lista:
Principais autores: Nicolas Schweighofer, Dongze Ye, Haipeng Luo, David Z. D’Argenio, Carolee Winstein
Format: Artigo
Sprog:Inglês
Udgivet: BMC 2023-06-01
Serier:Journal of NeuroEngineering and Rehabilitation
Fag:
Chronic stroke
Neurorehabilitation
Motor learning
Forecasting model
Hierarchical bayesian modeling
Dynamical models
Online adgang:https://doi.org/10.1186/s12984-023-01202-y
Tags: Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!

Lignende værker