Medical-data-based type hierarchy extraction method and device

Abstract

The invention discloses a medical-data-based type hierarchy extraction method. The method comprises the steps: determining to-be-processed medical data; performing data extraction processing on the to-be-processed medical data to obtain two-dimensional table data including the target medical data; and performing data analysis processing on the two-dimensional table data to obtain a data model corresponding to the target medical data. The data model reflects the type hierarchy corresponding to the target medical data, so that the data are convenient to use, and the target medical data of various types and levels in the data model can be directly used without the need of processing and analyzing the radiotherapy data in the radiotherapy equipment in a manual mode like the traditional mode. According to the invention, the radiotherapy data in the radiotherapy equipment do not need to be processed and analyzed manually; errors caused by manual processing and analysis of the radiotherapy data in the radiotherapy equipment can be avoided, so that the accuracy of determining the type hierarchy of the radiotherapy data in the radiotherapy equipment is improved, and the efficiency of processing the radiotherapy data in the radiotherapy equipment is further improved.

Description

technical field [0001] The present invention relates to the field of computers, in particular to a type-level extraction method and device based on medical data. Background technique [0002] At present, radiotherapy equipment is used in large and medium-sized hospitals across the country, accounting for 70% of China's radiotherapy equipment market, providing diagnosis and treatment services for millions of patients, and improving the survival rate and quality of life of cancer patients. Among them, radiotherapy equipment generates tens of thousands or even tens of millions of treatment data every day, and these data will generate huge radiotherapy data as they accumulate over time. The patient's radiotherapy data is of great value for the analysis of patients' tumor diseases, and can be put into practical clinical applications to serve doctors or various medical institutions. [0003] In the prior art, for the analysis and processing of the radiotherapy data in the radioth...

AI Technical Summary

Problems solved by technology

However, since the process of manually processing and analyzing the radiotherapy data in the radiotherapy equipment is cumbersome, error-prone, and the accuracy is not high, the way of manually processing and analyzing the radiotherapy data in the radiotherapy equipment leads to the processing of radiotherapy data. low efficiency

Images