Classification method and system of medical record data

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.

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...

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Problems solved by technology

[0002] Medical record data is usually a relatively complex data set. In view of 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.

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