Identification of radiographic characteristics associated with pain in hallux valgus patients: A preliminary machine learning study.

ABSTRACT:

Objective

To investigate the association between the structural deformity and foot pain in hallux valgus (HV) patients using a multi-variate pattern analysis (MVPA) approach.

Methods

Plain radiographic metrics were calculated from 36 painful and 36 pain-free HV feet. In analysis 1, univariate analyses were performed to investigate the clinical and radiographic differences between painful and pain-free HV. In analysis 2, we investigated the pattern differences for radiographic metrics between these two groups using a MVPA approach utilizing a support vector machine. In analysis 3, sequential backward selection and exhaustive search were performed as a feature-selection procedure to identify an optimal feature subtype. In analysis 4, hierarchical clustering analysis was used t

SUBMITTER: Wang C 

PROVIDER: S-EPMC9399654 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature