Breast cancer feature information identification method

A technology of feature information and recognition methods, applied in character and pattern recognition, instruments, biological neural network models, etc., can solve problems such as being unsuitable for large-scale data applications, slow in solving speed, etc., and achieve high classification accuracy and convergence speed. Fast, robust effects
CN114580507APending Publication Date: 2022-06-03SOUTH CHINA UNIV OF TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SOUTH CHINA UNIV OF TECH
Publication Date
2022-06-03

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Abstract

The invention provides a breast cancer feature information identification method, which comprises the following steps of: 1) acquiring feature information of a patient through an electronic medical record system, and then transmitting data to a computer for data analysis; 2) preprocessing the data, including data cleaning and data normalization; 3) establishing a standard matrix convex quadratic programming problem of the classification model based on data according to a support vector machine theory; 4) designing a recurrent neural network solver of the standard matrix convex quadratic programming problem according to a recurrent neural dynamics design method; 5) transmitting the solving result of the step 4) to a classification model to obtain a classification decision function; and 6) judging whether the patient has the characteristic information of the breast cancer or not through the decision function, and displaying the result on a screen. The method is based on a recurrent neurodynamics method, can quickly and accurately converge to a correct solution of a problem, and effectively improves the accuracy of breast cancer classification and recognition.
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Description

technical field

[0001] The invention belongs to a breast cancer identification and classification method, in particular to a breast cancer characteristic information identification method. Background technique

[0002] In recent years, the disease recognition system based on pattern recognition has been developed rapidly. The expert system can replace the doctor to analyze the collected data and obtain the recognition result quickly, which has broad application prospects. With the wide application of breast cancer disease identification systems, the design of efficient and accurate breast cancer classifiers has attracted the attention of many researchers, and breast cancer classifiers are generally designed based on support vector machine algorithms and corresponding improved classification algorithms (Asri H. , MousannifH, Moatassime H A, et al.Using Machine Learning Algorithms for Breast CancerRisk Prediction and Diagnosis[J].Procedia Computer Science,2016,83:1064-1069.). ...

Claims

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