Prediction of Postoperative Clinical Recovery of Drop Foot Attributable to Lumbar Degenerative Diseases via a Bayesian Network

摘要

BackgroundDrop foot resulting from degenerative lumbar diseases can impair activities of daily living. Therefore, predictors of recovery of this symptom have been investigated using univariate or/and multivariate analyses. However, the conclusions have been somewhat controversial. Bayesian network models, which are graphic and intuitive to the clinician, may facilitate understanding of the prognosis of drop foot resulting from degenerative lumbar diseases.