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Intelligent medical big data analysis processing method based on cloud computing

An analysis and processing, big data technology, applied in the fields of medical data mining, computer-aided medical procedures, medical informatics, etc., can solve the problems of geographical dispersion, query timeout, system unresponsiveness, etc., to improve quality and good data coverage Sexual and real-time effects

Active Publication Date: 2019-03-01
国康中健(北京)科技有限公司
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Problems solved by technology

[0002] Smart medical care is different from traditional medical care. Smart medical care is based on data. It not only needs to use people's medical, health, and physical examination information in different locations, but also needs to mine and process people's medical and health data in all aspects of clothing, food, housing, and transportation. These data are not only geographically dispersed. , the platform is also extremely scattered, so when the existing query method is faced with the application scenario of distributed fragmented query and effective data mining at the same time, the query timeout or even the system unresponsive situation often occurs

Method used

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  • Intelligent medical big data analysis processing method based on cloud computing
  • Intelligent medical big data analysis processing method based on cloud computing
  • Intelligent medical big data analysis processing method based on cloud computing

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Embodiment Construction

[0053] refer to figure 1 , the method of the present invention comprises the following steps:

[0054] A. Merge the data in all smart medical databases and preprocess the data to obtain high-quality mining results;

[0055] (1) Merge the data in all smart medical databases. The database contains a lot of complex and redundant information, and it is difficult to ensure the consistency of the database. For the data x in the variable space in the database iRecombine to extract the comprehensive variables of the database, so as to cover the overall information of the database to the greatest extent. The database object is regarded as a collection of variables, and the comprehensive variable is a linear combination of variables:

[0056]

[0057] Among them, μ ki is the combination coefficient of comprehensive variables, and k is the number of comprehensive variables.

[0058] (2) Transform the database into a data table X with n variables, and the variance of the comprehen...

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Abstract

The present invention discloses an intelligent medical big data analysis processing method based on cloud computing. The method mainly comprises the steps of: combining all the data in an intelligentmedical database to perform preprocessing of data to facilitate obtaining of a high-quality excavation effect; excavating association between project sets in the intelligent medical big data through aperiodic association rule to facilitate collection of user detailed case history to provide basis for making of accurate and effective treatment schemes; and performing task scheduling for the inquired associated database through the adaptive weighted particle swarm to improve the query speed and the query result quality and complete query optimization of the intelligent medical big data. The method has good data coverage and timeliness, integrates the medical information to form an intelligent medical big data fast query system capable of deep discovery so as to rapidly inquire the distributed and fragmented data information while achieving the data excavation progress.

Description

technical field [0001] The invention belongs to the fields of smart medical care, data mining, and particle optimization, and specifically relates to a cloud computing-based smart medical big data analysis and processing method. Background technique [0002] Smart medical care is different from traditional medical care. Smart medical care is based on data. It not only needs to use people's medical, health, and physical examination information in different locations, but also needs to mine and process people's medical and health data in all aspects of clothing, food, housing, and transportation. These data are not only geographically dispersed. , the platform is also extremely scattered, so when the existing query methods face the application scenario of distributed fragmented query and effective data mining at the same time, the query often times out or even the system does not respond. Contents of the invention [0003] In order to solve the above problems, the purpose of...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/70
CPCG16H50/70
Inventor 徐辉韩林于丽娜杨国智梁馨月王蒲光潘媛媛李莹张人介孙海花林靖环韩圣永
Owner 国康中健(北京)科技有限公司
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