The invention discloses an
ankle fracture and
ligament injury diagnosis method based on
machine learning. The method comprises the steps of determining a computer
feature extraction region, marking the classification of all X-
ray image fracture types in each region, and marking the
ligament injury type of a patient corresponding to an X-
ray image, i.e., injury and non-injury, preprocessing the X-
ray image to obtain a foreground image of the
ankle skeleton, building an
ankle fracture prediction model based on a BoVW+SVM
algorithm, searching a frequent item set between bone injuries and ligamentinjuries in a case through an
Apriori algorithm, mining association rules between affairs, taking
bone injury results obtained through SVM classification as antecedent input, and predicting the
ligament injuries and hidden bone injuries. By means of the method, a surgeon can be assisted in automatically reading the ankle skeleton X-ray image, diagnosis and
treatment time is saved, and the diagnosis and
treatment effect of ankle injuries is improved.