The invention relates to an
arch height prediction method and
system based on parameter model multi-coordination. The
arch height prediction method comprises the following steps: selecting and collecting related parameters of a patient conforming to a sample standard and an implantable
phakic intraocular lens of the patient; performing correlation matrix and
multiple linear regression analysis on the parameters in the step 1 by utilizing
statistical software, and establishing a new model Ma; establishing a comparison model
library, wherein the comparison model
library comprises a common place and a formula or a model Mb for predicting the
arch height; the model Ma and the model Mb are compared to predict an arch height value and an actual arch height value, variance analysis is adopted, an LSD method is used for pairwise comparison, a Bland-Altman method is used for consistency check, and therefore the effectiveness and the accuracy of the model Ma are verified; setting the verified model as Mn, and adding the Mn into the model
library in the step 3; repeatedly executing the model for N times until a newest model Mnow is obtained; pre-operation related parameter values are applied to the model M, and a post-operation arch height value is obtained through prediction and analysis. According to the scheme, the comparison model library can be increased along with the increase of the number of the sample groups, so that cyclic comparison
verification can be realized, the obtained arch height prediction model has a good prediction effect, and the result is relatively accurate.