Health record data generation method and device

Abstract

The invention provides a health record data generation method and device. The method comprises the following steps: training a plurality of groups of real health archive data in an InfoGAN architecture to obtain an archive recognizer; training in an InfoGAN architecture through the target disease type set and the target health level set to obtain an archive generator; the archive recognizer and the archive generator are alternately subjected to optimization training through a loss function of an InfoGAN architecture; data authenticity discrimination is carried out based on the current archiverecognizer and the current archive generator after each optimization training; a mode until the judged real probability value is close to a preset probability value is adopted; Therefore, the file generator is used as a target file generation model to simulate and synthesize health file data with high authenticity and high data accuracy, and the data diversity is ensured through the respective composition of the target sick type set and the target health level set, so that the medical research is facilitated.

Description

technical field [0001] The present application relates to the technical field of medical data generation, and in particular, to a method and device for generating health record data. Background technique [0002] With the continuous development of artificial intelligence technology and big data technology, more and more industry fields are gradually involved in the application of artificial intelligence technology and big data technology, among which the medical field is an extremely important part of many industry fields. However, in the current medical field, there are great deficiencies in data acquisition. For example, in addition to spending a lot of time to collect real health record data, the existing personal health record data acquisition process generally includes the simulation and synthesis of statistical analysis methods. The way of health record data. Regarding these two methods, the former involves the privacy protection of the patient's past medical history,...

AI Technical Summary

Problems solved by technology

However, in the current medical field, there are great deficiencies in data acquisition. For example, in addition to spending a lot of time to collect real health record data, the existing personal health record data acquisition process generally includes the simulation and synthesis of statistical analysis methods. The way of health record data

Regarding these two methods, the former involves the privacy protection of the patient's past medical history, and is affected by the medical case data control system, which has problems such as incomplete data obtained, long acquisition cycle, and large resource consumption. The implementation algorithm of the latter is complicated, and a large amount of human participation is required in the execution process, so that the error between the simulated and synthesized data and the real data is extremely large, the overall data accuracy is not high, and the data diversity is weak

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