Classification method and system of medical record data

A classification method and data technology, applied in the computer field, can solve the problem that the classification accuracy of medical record data is not very high, and achieve the effect of low requirements, easy training and strong adaptability

CN109948680BActive Publication Date: 2021-06-11HEFEI UNIV OF TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Publication Date
2021-06-11

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Abstract

The embodiment of the present invention provides a method and system for classifying medical record data, which preprocesses the original medical record data to obtain a data set that can match the classifier; then, randomly divides the data set after feature selection into a specified number After dividing each data block into a training set and a test set, each data block is input into the corresponding classifier respectively; then, based on the TPE algorithm, all classifiers are predicted by weighted voting, and run After the specified number of TPE algorithms, the number of classifiers with the smallest verification error is selected as the optimal number of classifiers; finally, the optimal number of classifiers is input into the deep cascade forest model, and the deep cascade forest model is run successively until it satisfies Preset accuracy to obtain the optimal classification result of medical record data. The technical solutions of the embodiments of the present invention have low requirements on the amount of data, are easy to train, and have the advantages of strong adaptability.
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Description

technical field

[0001] The invention relates to the field of computer technology, in particular to a method and system for classifying medical record data. Background technique

[0002] Medical record data is usually a relatively complex data set. Given the complexity of patients' physiological parameters and disease symptoms, as well as the differences in experience among doctors in hospitals, the accuracy of medical record data classification is often not very high. With the development of technology, machine learning methods play an increasingly important role in the processing of medical data. If a CAD (Computer Aided Diagnosis, computer-aided diagnosis) application can be quickly provided, the medical record data of the disease can be learned and classified, and the accuracy of the classification and prediction of the disease can be improved to a certain extent. Contents of the invention

[0003] In view of this, an embodiment of the present invention provides a meth...

Examples

Embodiment Construction

[0035] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with specific embodiments and corresponding drawings. Apparently, the described embodiments are only 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.

[0036] For ease of understanding, the following briefly explains related concepts involved in the embodiments of the present invention.

[0037] Deep learning is a machine learning method. Its principle is to simulate the human brain for analysis and learning by constructing a deep neural network with multiple hidden layers. The learning effect is particularly important.

[0038] Integr...