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Visual recommendation method and system for time series medical data

A technology of medical data and recommendation methods, applied in medical reference, visual data mining, structured data retrieval, etc., can solve the problems of not being able to capture the relationship between data, not considering the relationship between data, time-consuming and labor-intensive, etc., to achieve simplification Data analysis process, enhanced interpretability, and easy-to-promote effects

Active Publication Date: 2020-06-23
XI AN JIAOTONG UNIV
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AI Technical Summary

Problems solved by technology

If medical personnel want to manually create visual graphics, they must learn the knowledge related to graphic design principles and master the coding standards of visualization; and the process of manually creating visual graphics is very time-consuming and labor-intensive
[0005] Statistical analysis techniques help people analyze data characteristics from a statistical perspective, but cannot capture the relationship between data
The existing data analysis methods only consider the characteristics of the data itself, but do not consider the relationship between the data

Method used

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  • Visual recommendation method and system for time series medical data
  • Visual recommendation method and system for time series medical data
  • Visual recommendation method and system for time series medical data

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Embodiment

[0135] see Figure 4 , a visual recommendation system for time-series medical data according to an embodiment of the present invention is applied in the field of medical data analysis, including the following steps:

[0136] Step 1, data collection and preprocessing: collect the required data from medical institutions, filter and organize the data into a standard format, including: sorting, cleaning, screening and denoising the collected time-series medical data sets, first, through data splicing, The data class mapping method processes the data into the specified character, date, and numeric formats, and then processes the repeated values, missing values, and abnormal values ​​in the data, and then realizes the import of data sets through the background data processing system, and obtains and imports them into the database The data category features in;

[0137] Step 2, abstract visual coding channel: According to the data category characteristics obtained in step 1, the vis...

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Abstract

The invention discloses a visual recommendation method and system for time sequence medical data, and the method comprises the steps: processing the collected time sequence medical data into a standard format, and obtaining the data type features imported into a database; splitting the visual element into a plurality of visual coding channels on the basis of the type of the statistical analysis chart, enabling different coding channels to correspond to visual presentation elements, and presetting a plurality of view drawing methods for different coding channels; according to the content of thevisual coding channel, a visual code is obtained, and a diversified configuration result is obtained; and according to the diversified configuration result, completing visual recommendation. Whereinthe visual recommendation comprises univariate view recommendation, associated feature pair view recommendation, replacement view recommendation and replacement view recommendation. According to the invention, the recommendation of visual codes can be realized, and the pertinence and practicability of recommendation results can be enhanced.

Description

technical field [0001] The invention belongs to the technical field of data analysis of time-series data, and in particular relates to a visual recommendation method and system for time-series medical data. Background technique [0002] Traditional medical event sequence data has the characteristics of large data volume, various types, low utilization rate, and variable time accuracy. In addition, in clinical retrospective studies, time series data sets are often required to mine association relationships. The current traditional methods use Excel and other spreadsheets or SPSS software for data analysis. These traditional methods will be limited to a certain extent in terms of data acquisition, data cleaning and processing, and the results of data analysis, and are time-consuming and labor-intensive. , it is difficult to fully mine the deep information hidden in the massive time-series medical data. [0003] At present, in the analysis process, medical personnel often nee...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/26G06F16/2457G16H70/00
CPCG06F16/26G06F16/2457G16H70/00
Inventor 钱步月刘璇胡师尧郑莹倩李安刘涛吕欣许靖琴
Owner XI AN JIAOTONG UNIV
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