Patient data screening method, system, equipment and storage medium based on condition tree

Abstract

The invention provides a patient data screening method, system, equipment and a storage medium based on condition tree. The method comprises the following steps: collecting patients data; obtaining screening conditions set by a user and an association relationship among the screening conditions; generating a condition node of the condition tree according to each screening condition, generating a relationship node of the condition tree according to each association relationship, and establishing the association relationship between each relationship node and the condition node; counting the number of the patients in each node; displaying the condition tree, displaying the screening conditions at the condition nodes, displaying the type of the relationship node at the relationship node, connecting the associated condition node and the relationship node, and displaying the corresponding number of the patients at each condition node and the relationship node. According to the scheme, the user can more intuitively and clearly see the combined relation of the screening conditions, and meanwhile, each node has a number for displaying and screening, so that the relation of the number of people screened among specific conditions is convenient to compare.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a condition tree-based patient data screening method, system, device and storage medium. Background technique [0002] The research objects of doctor's scientific research projects are generally patients who meet a certain condition or a combination of specific conditions. Therefore, based on these conditions, accurately screening out patients who meet the conditions is an extremely critical premise in clinical scientific research projects. The relationship between these conditions and the number of patients screened based on these conditions are more intuitively displayed in the form of graphics, so that doctors can more quickly obtain information on the number of patients who meet these conditions, and the doctor's scientific research work and data Analysis helps a lot and is a very important technique in scientific research projects. [0003] However, most of ...

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Problems solved by technology

[0003] However, most of the display methods in the prior art are displayed in the form of tiled condition input boxes (fields, relationships, values), and only show the number of patients screened out by all condition combinations, and cannot see multiple conditions more intuitively Combination relationship

For example, if 5 conditions are displayed in tiles, it is impossible to quickly check the relationship between each condition, which condition is and relationship with which condition, which condition is or relationship, and it is impossible to intuitively compare the patients screened by each condition node Quantity comparison, for doctors, is not easy to operate, time-consuming, and reduces scientific research efficiency

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