Data standardization method and apparatus, computer equipment and storage medium

Abstract

Embodiments of the invention provide a data standardization method and apparatus, computer equipment and a storage medium. The data standardization method includes the steps: acquiring data of one item of to be standardized in a medical examination report; determining a data type corresponding to the specific value of the data of the item; and performing standardization processing on the data of the item according to the determined data type, wherein different data types correspond to different standardization processing modes. The data standardization method adopts different standardized processing methods for different data types of data, can comprehensively perform standardization processing on the medical examination report, can improve precision and accuracy of the standardization processing of the medical examination report, and further enables the data after standardization processing to be further applied to model learning, and improves the consistency and accuracy of the dataof model learning.

Description

technical field [0001] The present application relates to the technical field of data processing, and in particular to a data standardization method, device, computer equipment and storage medium. Background technique [0002] Electronic medical examination reports usually contain a large amount of information, corresponding to a variety of medical examination items, and are not easy to handle. As a result, the current common identification methods for electronic medical examination reports are relatively rough. The data is stored and standardized for later model learning. However, in different physical examination reports, the physical examination results of the same item of data express the same meaning, but the physical examination results in the medical examination reports are completely different, and the physical examination results of different item data are also very different. This rough identification method cannot It is completely identified, and at the same time...

AI Technical Summary

Problems solved by technology

[0002] Electronic medical examination reports usually contain a large amount of information, corresponding to a variety of medical examination items, and are not easy to handle. As a result, the current common identification methods for electronic medical examination reports are relatively rough. Most of them directly identify and match the corresponding medical examination results through data format, and screen the identifiable ones. Data is stored and standardized for later model learning

However, in different physical examination reports, the physical examination results of the same item of data express the same meaning, but the physical examination results in the medical examination reports are completely different, and the physical examination results of different item data are also very different. This rough identification method cannot It is completely identified, and at the same time, the identification of physical examination items is not comprehensive, and the identified data is not conducive to the learning of later models

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