Batched accurate medication decision support system

Abstract

The invention discloses a batched accurate medication decision support system, which comprises a batched data import module, a data feature generation module, a data analysis module, an intelligent retrieval and import module and an analysis result generation module. The batched data import module can import JSON data and Excel data, the data feature generation module can add corresponding feature variables according to different disease categories and generate a corresponding disease category data feature extraction table, and the data analysis module realizes exploratory analysis through a self-defined research queue and arbitrary selection of parameters. According to the invention, being capable of importing desensitized structured data in batches is taken as an entry point, risk prediction and drug recommendation of multiple regions can be completed through one-time use requests, a model is re-optimized through single-factor analysis and multi-factor analysis, drug risk prediction with times is provided for clinic, and finally data support is provided for formulation of clinical drug guide or expert consensus.

Description

technical field [0001] The invention belongs to the field of medical technology, and in particular relates to a decision support system for batch-based precise medication. Background technique [0002] With the development of the times, the explosion of knowledge has posed severe challenges to medical work. Physicians are increasingly finding it difficult to keep up with the rapid pace of medical development. Although clinical division helps to alleviate this contradiction, it is by no means a fundamental solution. Because even the update and growth of knowledge in a very professional medical field is beyond the learning and mastery of doctors, and a large amount of information and data make doctors at a loss. With the help of the huge storage capacity and processing power of the computer, it is possible to change this situation, so the clinical drug decision support system came into being. The clinical medication decision support system refers to the use of patients' inf...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a batch-scale precise medication decision support system to solve the above-mentioned background technology that it can only provide data support for risk prediction and medication recommendation for a certain patient, and cannot aggregate and analyze data from multiple regions. At the same time, its distributed architecture, each service is distributed in different services and different machines, and needs to construct the same number of requests to obtain data. This method will force users to continuously initiate separate requests, which is inefficient and takes a long time to collect model data. The problem

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