Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A method for predicting diopter adjustment value in smile operation

A surgical plan and surgical technology, applied in the field of ophthalmic refractive surgery, can solve problems such as no obvious linear relationship and inability to use SMILE surgical plan, so as to achieve the effect of reducing dependence, improving efficiency and accuracy, and lowering the professional threshold

Active Publication Date: 2021-05-25
王雁 +1
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the principle of SMILE operation is different from that of LASIK operation, which makes the original method unable to be used in the process of formulating SMILE operation plan; and the experiment proves that in the SMILE operation plan, there is no significant relationship between the nomogram value and other parameters. linear relationship

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A method for predicting diopter adjustment value in smile operation
  • A method for predicting diopter adjustment value in smile operation
  • A method for predicting diopter adjustment value in smile operation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Apparently, the described embodiments are some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0030] figure 1 It is a simplified flow chart of the method for predicting the nomogram value in the SMILE operation plan by using the bagging enhanced classifier according to the present invention. The method includes the following steps:

[0031] Step 1: Perform data preprocessing on the historical surgical plan designed by experts. In order to use the dat...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The present invention provides a method for predicting the diopter adjustment value (nomogram value) in SMILE (Small Incision Lenticule Extraction, femtosecond laser small incision matrix lens extraction) refractive surgery, the method comprising: prior SMILE operation plan data Perform preprocessing; calculate the influence of each preoperative parameter and surgical parameter on the formulation of the nomogram value according to the information gain (information gain), and screen out the parameters that have a greater impact on the formulation of the nomogram value; use the bagging-enhanced classification based on the decision tree (REPTree) A classifier method is used to train a classifier to predict the nomogram value in the operation plan; the classifier model is used to predict the nomogram value of a new case in the SMILE operation. The invention can accurately predict the formulation of the nomogram value in the SMILE operation plan within the allowable error range of the operation, thereby providing reference and help for doctors to formulate the operation plan.

Description

technical field [0001] The invention belongs to the field of ophthalmic refractive surgery and relates to machine learning technology, in particular to a method for predicting diopter adjustment values ​​in SMILE surgery. Background technique [0002] Myopia has gradually become a global problem. Surveys and studies have shown that more than 1.5 billion people around the world suffer from myopia. In China, the prevalence of myopia among teenagers aged 15-25 is over 75%. Corneal refractive surgery (excimer laser surgery, femtosecond laser surgery) to treat refractive errors such as myopia, hyperopia and astigmatism is one of the latest common eye surgeries in this century. At present, the number of corneal refractive surgeries in the world has exceeded 200 million. According to the latest incomplete statistics, 875,000 surgeries were performed in my country last year alone, which is one of the countries with the largest number of surgeries in the world. SMILE refractive surg...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G16H50/70G16H50/20G06K9/62
CPCG16H50/20G16H50/70G06F18/24323G06F18/214
Inventor 王雁季书帆李炎崔彤王书航张琳
Owner 王雁
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products