Predicting method for diopter adjusted value in SMILE operation

A surgical plan and surgical technology, applied in the field of ophthalmic refractive surgery, can solve problems such as the inability to use the SMILE surgical plan and lack of obvious linear relationship, so as to achieve the effect of improving efficiency and accuracy, reducing dependence, and lowering the professional threshold

Active Publication Date: 2018-07-27
王雁 +1
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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

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  • Predicting method for diopter adjusted value in SMILE operation
  • Predicting method for diopter adjusted value in SMILE operation
  • Predicting method for diopter adjusted value in SMILE operation

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[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...

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Abstract

The invention provides a predicting method for a diopter adjusted value (nomogram value) in an SMILE (Small Incision Lenticule Extraction, femtosecend laser small incision matrix lenticule extraction)operation. The method comprises the steps that prior SMILE operation scheme data is preprocessed; the influences of each preoperative parameter and operation parameters on nomogram value setting arerespectively calculated according to information gain (information gain), and the parameters with greater influences on the nomogram value setting are screened; a bagging intensified classifier methodbased on a decision-making tree (REPTree) is adopted to train a classifier, so that the nomogram value in the operation scheme can be predicted; the classifier model is utilized to predict the nomogram value of a new case in the SMILE operation. The predicting method can accurately the nomogram value setting in the SMILE operation scheme within an allowable error range of the operation, thereby providing references and help for doctors to make operation schemes.

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

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Application Information

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Patent Type & Authority Applications(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
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