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A method for predicting diopter adjustment value in smile surgery based on softmax regression algorithm

A regression algorithm and surgical technology, applied in the field of ophthalmic refractive surgery, can solve problems such as blank application, achieve the effect of reducing dependence, improving efficiency, and lowering professional threshold

Active Publication Date: 2020-11-03
王雁 +1
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Problems solved by technology

[0006] Softmax is often used to solve problems such as handwritten digit recognition and face recognition, but its application in the field of SMILE surgical parameter prediction is still blank

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  • A method for predicting diopter adjustment value in smile surgery based on softmax regression algorithm
  • A method for predicting diopter adjustment value in smile surgery based on softmax regression algorithm
  • A method for predicting diopter adjustment value in smile surgery based on softmax regression algorithm

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Embodiment Construction

[0046] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, 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. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. 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.

[0047] A method for predicting Nomogram values ​​in SMILE operations based on the Softmax regression algorithm, the method comprising the following steps:

[0048] Step 1: Perform preprocessing such as screening and discretization on the original data, and use the discretized Nomogram values ​​as category labels. The specific steps include: ...

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Abstract

The invention provides a method for predicting a diopter adjustment value (Nomogram value) in an SMILE (Small Incision Lenticule Extraction) refractive surgery based on a Softmax regression algorithm.The method comprises the steps that screening, discretization and other pretreatment are carried out on original data, the discretized Nomogram value serves as a category label; a Softmax hypothesisfunction and parameter matrixes of the Softmax hypothesis function are initialized, and a gradient descent method is utilized to obtain the parameter matrix minimizing a cost function; the optimal parameter matrix is substituted into the Softmax hypothesis function to obtain a regression model; and the regression model is utilized to predict a Nomogram reference value applied in an SMILE surgery plan. The method can predict the Nomogram value of a new case more accurately and more stably within the range of the error that the SMILE surgery allows, and provide reference and help for doctors tomake surgery plans.

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 Nomogram values ​​in SMILE surgery based on a Softmax regression algorithm. Background technique [0002] There are more than 1.5 billion people in the world suffering from myopia. In my country, the incidence of myopia is increasing year by year. Finding safe, effective and accurate correction methods has become a research issue of great concern in the field of ophthalmology. At present, corneal refractive surgery is one of the main methods to correct myopia. Among them, SMILE femtosecond laser small incision lens extraction is a new surgical procedure, and its effectiveness and safety have been widely confirmed. However, the human eye is a biological individual, and a relatively unified surgical design and treatment plan cannot be suitable for all individuals. At the same time, the corneal morphologi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61F9/008
CPCA61F9/008A61F2009/00897
Inventor 王雁季书帆崔彤曹亚斌康嘉玮
Owner 王雁
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