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CN108710649A - A kind of medicine AFR control makes up method - Google Patents

A kind of medicine AFR control makes up method Download PDF

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Publication number
CN108710649A
CN108710649A CN201810418247.3A CN201810418247A CN108710649A CN 108710649 A CN108710649 A CN 108710649A CN 201810418247 A CN201810418247 A CN 201810418247A CN 108710649 A CN108710649 A CN 108710649A
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CN
China
Prior art keywords
value
data
vacancy
medicine
vacancy value
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201810418247.3A
Other languages
Chinese (zh)
Inventor
魏星
常雪莲
邵东芳
谢静
陈玉娥
蒋秀林
张德成
陈友春
朱文婕
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
BENGBU MEDICAL COLLEGE
Original Assignee
BENGBU MEDICAL COLLEGE
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by BENGBU MEDICAL COLLEGE filed Critical BENGBU MEDICAL COLLEGE
Priority to CN201810418247.3A priority Critical patent/CN108710649A/en
Publication of CN108710649A publication Critical patent/CN108710649A/en
Pending legal-status Critical Current

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Classifications

    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records

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  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Epidemiology (AREA)
  • Data Mining & Analysis (AREA)
  • Primary Health Care (AREA)
  • General Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Pathology (AREA)
  • Databases & Information Systems (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Medical Treatment And Welfare Office Work (AREA)

Abstract

The invention discloses a kind of medicine AFR controls to make up method, and this approach includes the following steps:Step 1 finds out which aggregation record includes vacancy value;Step 2 concentrates each aggregation comprising vacancy value to record focus data, according to the given data tuple that initial data is concentrated, calculates the quantity of data vacancy value;Step 3, the concrete condition according to medical data set the minimum and peak of vacancy value;Step 4, the quantity of data vacancy value calculated according to step 2 and the setting value of step 3 are compared, and determine that medicine AFR control makes up the specific method of use.The present invention medicine AFR control make up method, for vacancy value quantity number, handled accordingly, the gap between data mining algorithm and practical application can be effectively reduced, medical data system completion degree that treated is higher, be suitble to popularization and application.

Description

A kind of medicine AFR control makes up method
Technical field
The invention belongs to medicine technology field, it is related to a kind of medicine AFR control and makes up method.
Background technology
It is well known that due to the limitation of network bandwidth, at present domestic Medical Web sites mostly based on text information, and this Kind of present situation can no longer meet 21 century medical field teaching and scientific research, resource-sharing, remote communication etc. needs.In recent years Come, the universal and development of internet has greatly pushed global IT application and the process of networking, abundant doctor on internet Learning information resources just slowly becomes the huge treasure-house of medical information.Under both demands, and medical data base is also just met the tendency of and It is raw.In a computer, database is the data acquisition system organized and stored according to certain data model in second-level storage. And when database applies in hospital system, the redundancy and not easy-to-search of traditional medicine document storage mode can either be changed Problem, and can safeguard the uniformity and authority of medical files.During for medical data mining links, data Incomplete phenomenon is inevitable, the AFR control of various degrees, also referred to as vacancy value.In order to be cured in biology The method and system for effectively applying data mining in research field is learned, the incomplete challenge of data must be just faced.
Invention content
The purpose of the present invention is to provide a kind of medicine AFR controls to make up method.
Its specific technical solution is:
A kind of medicine AFR control makes up method, includes the following steps:
Step 1 finds out which aggregation record includes vacancy value;
Step 2 concentrates each aggregation comprising vacancy value to record focus data, is concentrated according to initial data Primary data tuple calculates the quantity of data vacancy value;
Step 3, the concrete condition according to medical data set the minimum and peak of vacancy value;
Step 4, the quantity of data vacancy value calculated according to step 2 and the setting value of step 3 are compared, and determine medicine AFR control makes up the specific method of use;
If the quantity of vacancy value is less than minimum setting value, just directly there will be the record deletion of missing information attribute value, To obtain a complete information table;
If the quantity of vacancy value is more than minimum setting value but is less than most setting values, according to remaining object in decision table The distribution situation of value is filled a null value;
If the quantity of vacancy value is more than highest set value, do not handle, directly in the enterprising line number of the data comprising null value According to excavation.
Further, in step 4, the method being filled to a null value includes:It is filled in manually, particular value is filled, average Value filling, calorie filling, minimum distance neighbour method, using the filling of all possible value, combine completeization method, recurrence, multiple fill out It mends, desired value maximization approach.
Further, in step 4, the method that data mining use is carried out directly in the data comprising null value, including pattra leaves This network and artificial neural network.
Compared with prior art, beneficial effects of the present invention are:
The present invention medicine AFR control make up method, for vacancy value quantity number, handled, can be had accordingly Effect reduces the gap between data mining algorithm and practical application, and treated, and medical data system completion degree is higher, fits It closes and promotes and applies.
Specific implementation mode
Technical scheme of the present invention is described in more detail with reference to embodiment.
A kind of medicine AFR control makes up method, includes the following steps:
Step 1 finds out which aggregation record includes vacancy value;
Step 2 concentrates each aggregation comprising vacancy value to record focus data, is concentrated according to initial data Primary data tuple calculates the quantity of data vacancy value;
Step 3, the concrete condition according to medical data set the minimum and peak of vacancy value;
Step 4, the quantity of data vacancy value calculated according to step 2 and the setting value of step 3 are compared, and determine medicine AFR control makes up the specific method of use;
If the quantity of vacancy value is less than minimum setting value, just directly there will be the record deletion of missing information attribute value, To obtain a complete information table;
If the quantity of vacancy value is more than minimum setting value but is less than most setting values, according to remaining object in decision table The distribution situation of value is filled a null value;
If the quantity of vacancy value is more than highest set value, do not handle, directly in the enterprising line number of the data comprising null value According to excavation.
In step 4, the method being filled to a null value includes:Be filled in manually, particular value filling, average value filling, Calorie filling, uses the filling of all possible value, combination completeization method, recurrence, multiple imputation, expectation at minimum distance neighbour method It is worth maximization approach.
In step 4, directly in the data comprising null value carry out data mining use method, including Bayesian network and Artificial neural network.
The foregoing is only a preferred embodiment of the present invention, protection scope of the present invention is without being limited thereto, it is any ripe Those skilled in the art are known in the technical scope of present disclosure, the letter for the technical solution that can be become apparent to Altered or equivalence replacement are each fallen in protection scope of the present invention.

Claims (3)

1. a kind of medicine AFR control makes up method, which is characterized in that include the following steps:
Step 1 finds out which aggregation record includes vacancy value;
Step 2 concentrates each aggregation comprising vacancy value to record focus data, the datum concentrated according to initial data According to tuple, the quantity of data vacancy value is calculated;
Step 3, the concrete condition according to medical data set the minimum and peak of vacancy value;
Step 4, the quantity of data vacancy value calculated according to step 2 and the setting value of step 3 are compared, and determine medicine vacancy Data make up the specific method of use;
If the quantity of vacancy value is less than minimum setting value, just directly there will be the record deletions of missing information attribute value, thus Obtain a complete information table;
If the quantity of vacancy value is more than minimum setting value but is less than most setting values, according to remaining object value in decision table Distribution situation one null value is filled;
If the quantity of vacancy value is more than highest set value, do not handle, data digging is carried out directly in the data comprising null value Pick.
2. medicine AFR control according to claim 1 makes up method, which is characterized in that in step 4, to a null value into Row filling method include:Be filled in manually, particular value filling, average value filling, calorie filling, minimum distance neighbour method, using institute Possible value filling, combination completeization method, recurrence, multiple imputation, desired value maximization approach.
3. medicine AFR control according to claim 1 makes up method, which is characterized in that in step 4, directly including sky The method that data mining use is carried out in the data of value, including Bayesian network and artificial neural network.
CN201810418247.3A 2018-04-29 2018-04-29 A kind of medicine AFR control makes up method Pending CN108710649A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810418247.3A CN108710649A (en) 2018-04-29 2018-04-29 A kind of medicine AFR control makes up method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810418247.3A CN108710649A (en) 2018-04-29 2018-04-29 A kind of medicine AFR control makes up method

Publications (1)

Publication Number Publication Date
CN108710649A true CN108710649A (en) 2018-10-26

Family

ID=63867815

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810418247.3A Pending CN108710649A (en) 2018-04-29 2018-04-29 A kind of medicine AFR control makes up method

Country Status (1)

Country Link
CN (1) CN108710649A (en)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103177088A (en) * 2013-03-08 2013-06-26 北京理工大学 Biomedicine missing data compensation method
CN105184307A (en) * 2015-07-27 2015-12-23 蚌埠医学院 Medical field image semantic similarity matrix generation method
CN106407464A (en) * 2016-10-12 2017-02-15 南京航空航天大学 KNN-based improved missing data filling algorithm
CN106844781A (en) * 2017-03-10 2017-06-13 广州视源电子科技股份有限公司 Data processing method and device

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103177088A (en) * 2013-03-08 2013-06-26 北京理工大学 Biomedicine missing data compensation method
CN105184307A (en) * 2015-07-27 2015-12-23 蚌埠医学院 Medical field image semantic similarity matrix generation method
CN106407464A (en) * 2016-10-12 2017-02-15 南京航空航天大学 KNN-based improved missing data filling algorithm
CN106844781A (en) * 2017-03-10 2017-06-13 广州视源电子科技股份有限公司 Data processing method and device

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
铁汉1990: "缺失值的处理", 《新浪博客》 *

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Application publication date: 20181026

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