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Cross-modal user medical data analysis method for essential computing

A technology of medical data and analysis methods, applied in the field of data analysis, can solve the problems of patients' time, financial and energy waste, and increased attention

Active Publication Date: 2021-02-02
HAINAN UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, in the process of seeking medical treatment, people often appear that multiple examinations have been carried out in hospital A. When they go to hospital B for treatment, they need to undergo the same examination items to provide the doctor with a basis for diagnosis. Similar situations will also occur between different departments. The time, financial resources and energy of patients are greatly wasted, and all sectors of society pay more and more attention to the privacy of patients' conditions. How to mine corresponding data, information and Knowledge resources, and based on this, provide convenience for patients' visits and doctors' diagnosis. The existing technology has not been able to deal with this problem well, and it needs to be solved by research

Method used

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  • Cross-modal user medical data analysis method for essential computing

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Embodiment Construction

[0033] The principles and features of the present invention will be described below in conjunction with the accompanying drawings, and the enumerated embodiments are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0034] refer to figure 1 , the present invention provides a cross-modal user medical data analysis method oriented to essential computing, said method comprising the following steps:

[0035] S1. Obtain the identification type resource of the target user, query the database based on the identification type resource of the user and acquire the private medical data of the target user, and the database includes a local database and an external database.

[0036] Wherein, the identification type resource is mainly a data resource, which may be the target user's name, ID number or other data that can be used to identify the user. The local database refers to the database established by the target user's real...

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Abstract

The invention provides an cross-modal user medical data analysis method for essential computing. The method comprises the following steps: S1, acquiring identification type resources of a target user,querying a database based on the identification type resources of the user, and acquiring private medical data of the target user, wherein the database comprises a local database and an external database; S2, modeling the private medical data of the target user based on the DIKW map to obtain initial type resources; S3, performing same-mode or cross-mode fusion operation on the initial type of resources to obtain a target type resource; and S4, analyzing and evaluating the health condition of the target user based on the target type resource. On one hand, health assessment can be carried outbased on existing medical data of a patient, so that support is provided for diagnosis and treatment work of doctors, and unnecessary repeated examination is avoided for the patient; and on the otherhand, the effect of protecting medical data privacy of the patient can be achieved.

Description

technical field [0001] The invention relates to the technical field of data analysis, in particular to an essential computing-oriented cross-modal user medical data analysis method. Background technique [0002] With the advent of the era of big data, the scale of data has become increasingly large. A lot of information can be obtained by correlation analysis of data, and data and information resources can be generalized and logically reasoned into knowledge resources. Knowledge resources can be reacted on data resources and information. In terms of resources, calculations and inferences can generate more data resources and information resources that are valuable to specific targets, and can even perform predictive analysis on certain specific targets. At present, in the process of seeking medical treatment, people often appear that multiple examinations have been carried out in hospital A. When they go to hospital B for treatment, they need to undergo the same examination i...

Claims

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Application Information

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IPC IPC(8): G16H10/60G16H50/70G06F21/62G06K9/62G06N5/04
CPCG16H10/60G16H50/70G06F21/6245G06N5/04G06F18/25
Inventor 段玉聪樊珂
Owner HAINAN UNIVERSITY
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