Data processing method, device and medium

Abstract

One aspect of the present disclosure provides a data processing method, including: acquiring a data table with a tree structure; generating an index table of the data table based on the data table, where the index structure of the index table is a tree structure; According to the search condition input by the user, determine the index field of the search condition from the index table; display the medical data retrieved from the data table based on the index field, wherein the search condition includes query condition and / or a combination of logical conditions, the query conditions are generated based on the condition keywords, operators, and comparison values ​​input / or selected by the user; the combination of logical conditions is obtained based on the connection of the query conditions. The disclosure also provides a data processing device and a medium.

Description

technical field [0001] The present disclosure relates to the technical field of the Internet, and in particular to a data processing method, device and medium. Background technique [0002] At present, in the scenario where users conduct physical therapy scientific research activities, it is necessary to perform convenient and fast retrieval of massive medical data. Users usually want to enter any keyword to find information such as diagnosis, medication, and inspection that match the keyword, and return visualized detailed data in the dimension of the patient or medical record. In the prior art, in the search system of the scientific research platform, medical data generally presents a multi-level and multi-attribute structure. For example, the first layer is patient information, with attribute information such as gender and age; the second layer is medical record information, with attribute information such as medical record type and visit time; the third layer is informa...

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Problems solved by technology

[0003] However, in the process of realizing the concept of the present invention, the inventor found that there are at least the following problems in the prior art: (1) the index structure is not flexible enough to adapt to the multi-level tree data structure; (2) screening search The conditions are not smart enough, and the filter conditions are too simple to support multiple semantics such as include, not include, equal to, within the range, earlier than, and any value

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