A genetic algorithm (GA)-based network model was developed for the assessment of gait patterns in ankle arthrodesis. The accuracy of the model was tested in categorizing different gait patterns. Further, the prediction ability of the GA-based model was compared with that of the stepwise variant of the linear discriminant method. Finally, the clinical implications of the results were interpreted.
All Science Journal Classification (ASJC) codes
- Biomedical Engineering