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

Optical biological parameter prediction method and optical biological parameter prediction equipment

A biological parameter and biological measurement technology, applied in the field of artificial intelligence medical data analysis, can solve the problems of insufficient accuracy of the results and the inability to reflect changes in eye details, achieving high accuracy, strong robustness, and high reference value Effect

Pending Publication Date: 2020-05-08
SHANGHAI EAGLEVISION MEDICAL TECH CO LTD
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although this type of method has a certain predictive effect on the development trend of the eye state, such information as visual acuity and diopter is the result of the development of the eye state, and there are many factors that cause changes in the state of the human eye. It may be caused by changes in different parts of the eye, so the accuracy of the results obtained by directly predicting the visual acuity value or diopter is not high enough, and it cannot reflect the changes in the details of the eye

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
  • Optical biological parameter prediction method and optical biological parameter prediction equipment
  • Optical biological parameter prediction method and optical biological parameter prediction equipment
  • Optical biological parameter prediction method and optical biological parameter prediction equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] The technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Apparently, the described embodiments are some of the embodiments of the present invention, but not all of them. 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.

[0040] In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as there is no conflict with each other.

[0041] An embodiment of the present invention provides a method for training an optical biological parameter prediction model. The prediction model is a machine learning model, such as logistic regression, random forest, SVM and other models are all feasible.

[0042] First get the sample data and its label i...

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 invention provides an optical biological parameter prediction method and optical biological parameter prediction equipment. The method comprises: acquiring optical biological measurement data of auser, expected time and questionnaire survey data, wherein the optical biological measurement data comprise the age of the user, time information during optical biological measurement and the opticalbiological parameters, and the questionnaire survey data comprise a plurality of pieces of auxiliary information capable of influencing eyes; and predicting the optical biological parameters of the user at the expected time according to the optical biological measurement data and the questionnaire survey data by utilizing a prediction model.

Description

technical field [0001] The invention relates to the field of artificial intelligence medical data analysis, in particular to a method and equipment for predicting optical biological parameters. Background technique [0002] Myopia, one of the eye diseases, is one of the most serious public health problems in the world. Especially in recent years, with the popularization of various smart devices, the incidence of myopia in children and adolescents is increasing, which seriously endangers the physical and mental health of children and adolescents, and greatly affects the study and life. [0003] At present, institutions and personnel in the field can use various precise measurement methods to accurately detect the optical biological parameters of the human body, such as axial length, corneal thickness, anterior chamber depth, etc., and then comprehensively judge the current state of the eyeball. [0004] In recent years, more and more studies have been devoted to the predict...

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 Applications(China)
IPC IPC(8): G16H10/20
CPCG16H10/20
Inventor 贺婉佶胡馨月王斌熊健皓赵昕陈羽中和超张大磊
Owner SHANGHAI EAGLEVISION MEDICAL TECH CO LTD
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com