CN107169287A - The data analysis of traditional Chinese medicine defatting DSS and prescription method for digging - Google Patents
The data analysis of traditional Chinese medicine defatting DSS and prescription method for digging Download PDFInfo
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Abstract
The invention discloses a kind of data analysis of traditional Chinese medicine defatting DSS and prescription method for digging, including：S1. prescription data is gathered：The fat name of disease of collection and Bariatric prescription, the fat name of disease include fat TCM Syndrome Type and obesity phenotype, and the Bariatric prescription includes acupuncture and moxibustion prescription, acumoxibustion prescription, prescriptions of traditional Chinese medicine, dietotherapy prescription and moxa-moxibustion prescription；S2. prescription data is pre-processed：The fat name of disease collected and Bariatric prescription data are pre-processed, pretreatment includes canonical name, corrects wrong word, standardization continuous data and removes noise data；S3. prescription is excavated：Raw data base is built according to pretreated Bariatric prescription data, rule digging is associated to the data in raw data base.The present invention exports the correlation rule of these prescription datas according to the prescription data collected, improves the supporting capacity of traditional Chinese medicine defatting DSS.
Description
Technical field
The present invention relates to traditional Chinese medicine defatting Design of DSS technical field, more particularly to a kind of traditional Chinese medicine defatting decision-making
The data analysis of support system and prescription method for digging.
Background technology
China national defends planning commission's issue《Chinese residents nourishment and chronic disease status report（2015）》It has been shown that, China occupies
People's Overweight-obesity problem is highlighted.No matter adult or teenager, Overweight-obesity increasing degree are all higher than developed country.
Report points out that the average weight of the whole nation 18 years old and above adult male and women are respectively 66.2KG and 57.3KG.
The whole nation 18 years old and the above are grown up overweight rate for 30.1%, and obesity rates are 11.9%, and 7.3 and 4.8 percentage points were risen than 2002,
Rate that 6 to 17 years old children and youths are overweight is 9.6%, and obesity rates are 6.4%, and 5.1 and 4.3 percentage points were risen than 2002.No
By adult or teenager, Overweight-obesity increasing degree is all higher than developed country.
Country defends prevention and control of diseases office of planning commission national health family planning ombudsman Chang Jile and pointed out, at present, Chinese residents
There are two kinds of situations in terms of nutrition, on the one hand malnutritive problem is not fully solved, also it is significant component of miserably
Area's nutritional status of children is bad；But then, overnutrition is comed one after another again.Overweight-obesity be trigger hypertension, diabetes,
The important risk factor of many chronic diseases such as cardiovascular and cerebrovascular disease, cancer.The overweight and fat harm brought is increasingly apparent, fat
Caused hypertension, high fat of blood, diabetes, cardiovascular and cerebrovascular disease chronic diseases rejuvenation, medical treatment cost increase year by year, main former
Because being that people lack to overweight and fat relevant knowledge, unsound life style, unsound eating pattern, activity is reduced
It is caused, therefore, the cognition to overweight and fat harm is improved, popularize science diet knowledge, establish balanced diet theory, actively advocate
Healthy Lifestyle is led, is the overweight and fat basic effective measures of prevention.
Modern medicine thinks that simple obesity is more with endocrine disturbance, various hormones, especially insulin, sex hormone,
Cortex hormone of aadrenaline, leptin etc. are abnormal, can nurse one's health endocrine by acupuncture, be allowed to tend to be normal；Compared to other reducing formulas
For formula, the principle that traditional Chinese medicine defatting is treated using differential diagnosis in tcm is started with from adjustment endocrine, and internal organs technical ability in conditioning accelerates new city
Metabolism, is adjusted to the nerve and endocrine function of overweight people.The traditional Chinese medical science from syndrome differentiation of zang-fu viscera analysis it is fat mainly with liver and spleen kidney three
Dirty function is relevant, and conditioning viscera can be reached by acupuncture, makes the functional rehabilitation of Spleen normal.It is more and more in reality
Obese people selection traditional Chinese medicine defatting.
Traditional Chinese medicine defatting is one long-term and multi-method treatment process, and the traditional Chinese medical science for customizing science for different obese peoples subtracts
Fertile scheme needs to build a platform, in this platform comprising substantial amounts of prescription data, how to be dug from these prescription datas
Certain fat general character for the treatment of is excavated, i.e., is constituted for the prescription that obesity disease doctor generally uses, is put down to improving traditional Chinese medicine defatting
The supporting capacity of platform is significant.
The content of the invention
It is an object of the invention to overcome the deficiencies of the prior art and provide a kind of data of traditional Chinese medicine defatting DSS
Analysis and prescription method for digging, the correlation rule of these prescription datas is exported according to the prescription data collected, is improved the traditional Chinese medical science and is subtracted
The supporting capacity of fertile DSS.
The purpose of the present invention is achieved through the following technical solutions：The data analysis of traditional Chinese medicine defatting DSS
With prescription method for digging, including：
S1. prescription data is gathered：Bariatric prescription is gathered, the Bariatric prescription includes acupuncture and moxibustion prescription, acumoxibustion prescription, prescriptions of traditional Chinese medicine, food
Treat prescription and moxa-moxibustion prescription；
S2. prescription data is pre-processed：The Bariatric prescription data collected is pre-processed, pretreatment includes canonical name
Claim, correct wrong word, standardization continuous data and remove noise data；
S3. prescription is excavated：Raw data base is built according to pretreated Bariatric prescription data, obtained in electronic health record
Data in raw data base are carried out by fat TCM Syndrome Type or obesity phenotype according to the fat TCM Syndrome Type or obesity phenotype
Association rule mining.
It is preferred that, in the S1：
When acupuncture and moxibustion prescription, acumoxibustion prescription includes prescription name, corresponding fat TCM Syndrome Type and obesity phenotype, master point, adjunct acupuncture points, operation technique, the course for the treatment of
Between；
Prescriptions of traditional Chinese medicine include prescription name, corresponding fat TCM Syndrome Type and obesity phenotype, medicine composition and compatibility, drug dose,
Time of Administration；
The dietotherapy prescription includes prescription name, corresponding fat TCM Syndrome Type and obesity phenotype, food composition and compatibility, food agent
Amount, Time of Administration；
The moxa-moxibustion prescription includes prescription name, corresponding fat TCM Syndrome Type and obesity phenotype, master point, adjunct acupuncture points, operation technique, treatment
The journey time.
It is preferred that, it is fat, single that the obesity phenotype includes fat lipid type, metabolic obesity, starchiness obesity, internal organs type
The fat and obstinate type of pure property is fat；
The fat TCM Syndrome Type includes stomach energy phlegm-blood stasis type, stagnation of QI due to depression of the liver, Splenic asthenia and obstruction of dampness, liver and kidney deficiency type and blood-deficiency type.
It is preferred that, rule digging is associated to the data in raw data base in the S3：
S31. the transaction set in raw data base is converted into data cube, while recording the length of transaction set；
S32. 1- item collections and 1- high frequency collection are obtained according to data cube；
S33. k- item collections and k- high frequency collection are obtained according to 1- high frequency collection, k+1- item collections and k+1- is obtained according to k- high frequency collection
Item high frequency collection, wherein k >=2, and k is integer；
S34. all subsets of k- high frequency collection of 1- high frequency set are produced according to 1- item collections and 1- high frequency collection with described in generating
The correlation rule of things collection.
It is preferred that, in the S3 data in raw data base are associated with rule digging is used to excavate Acupancture pass
Join rule, prescriptions of traditional Chinese medicine correlation rule, dietotherapy prescription correlation rule and moxa-moxibustion prescription correlation rule.
It is preferred that, the Acupancture correlation rule includes fat TCM Syndrome Type-acupuncture and moxibustion prescription, acumoxibustion prescription correlation rule, fat class
Acupuncture point-operation correlation rule in master point-adjunct acupuncture points correlation rule, acupuncture and moxibustion prescription, acumoxibustion prescription in type-acupuncture and moxibustion prescription, acumoxibustion prescription correlation rule, acupuncture and moxibustion prescription, acumoxibustion prescription,
Acupuncture point-course for the treatment of correlation rule in acupuncture and moxibustion prescription, acumoxibustion prescription；
The prescriptions of traditional Chinese medicine correlation rule includes fat TCM Syndrome Type-prescriptions of traditional Chinese medicine correlation rule, obesity phenotype-prescriptions of traditional Chinese medicine and closed
Connection rule, in prescriptions of traditional Chinese medicine medicine composition with drug dose correlation rule, prescriptions of traditional Chinese medicine in compatibility correlation rule, prescriptions of traditional Chinese medicine
Time of Administration correlation rule；
The dietotherapy prescription correlation rule includes fat TCM Syndrome Type-dietotherapy prescription correlation rule, obesity phenotype-dietotherapy prescription and closed
In connection rule, dietotherapy prescription in food composition and compatibility correlation rule, dietotherapy prescription food agent amount correlation rule, dietotherapy prescription
Time of Administration correlation rule；
The moxa-moxibustion fat-reducing correlation rule includes fat TCM Syndrome Type-moxa-moxibustion prescription correlation rule, obesity phenotype-moxa-moxibustion prescription and closed
Connection rule, cave in acupuncture point-operation correlation rule, moxa-moxibustion prescription in master point-adjunct acupuncture points correlation rule, moxa-moxibustion prescription in moxa-moxibustion prescription
Position-course for the treatment of correlation rule.
It is preferred that, the acquisition methods of fat TCM Syndrome Type or obesity phenotype in the electronic health record include：
The data of the electronic health record of patient be segmented to obtain segment data；
Participle is carried out to the segment data according to default dictionary for word segmentation and obtains participle data；
Language material training is carried out to participle data；
Participle extracting data characteristic after language material training；
The characteristic is converted into by corresponding classical symptom according to default classical symptom storehouse, the classical symptom of patient is obtained
Set；
Selection obtains the fat TCM Syndrome Type or obesity phenotype of patient from the classical symptom set of patient.
It is preferred that, the association rule mining of the acupuncture and moxibustion prescription, acumoxibustion prescription or moxa-moxibustion prescription includes：
Using build data warehouse in the form of build for the dialectical data mining based on symptom the first data model and be used for
The second data model that Acupoints based on prescription are excavated；First data model uses snowflake schema, using disease as
True table, the various symptoms included using every kind of disease, tongue fur and pulse condition are used as dimension table；Second data model is using star-like
Pattern, using each prescription as true table, with having for the main disease to be treated included in each prescription, acupuncture points on the human body, time and the prescription
The scoring of effect property is used as dimension table；
It is many using on-line analysis processing OLAP combinations acupuncture points on the human body, three themes of prescription and illness diagnosis and treatment rule that applies acupuncture
Dimension frequency statistics；
Acupoints rule is excavated using Association Rule Analysis, selects and uses rule through rule, acupuncture points on the human body branch rule, specific acupoint, with
And cave pair and the cave group rule of target acupuncture points on the human body, and target disease core acupuncture point, cave pair and cave group rule.
The beneficial effects of the invention are as follows：The existing Bariatric prescription of present invention collection, and it is existing using correlation rule output
Correlation rule between the component of some Bariatric prescriptions, can excavate and generally be adopted for various obesity disease doctors
Medicine, acupuncture point etc., because the present invention is to be applied to traditional Chinese medicine defatting DSS, it is thus possible to improve traditional Chinese medicine defatting and determine
Plan supports the supporting capacity of system.
Brief description of the drawings
Fig. 1 is schematic flow sheet of the invention；
Fig. 2 is the schematic diagram of the first data model；
Fig. 3 is the schematic diagram of the second data model；
Fig. 4 is the acquisition flow chart of fat TCM Syndrome Type and obesity phenotype in electronic health record；
Fig. 5 is the schematic flow sheet of association rule mining in the present invention.
Embodiment
Technical scheme is described in further detail below in conjunction with the accompanying drawings, but protection scope of the present invention is not limited to
It is as described below.
As shown in figure 1, being excavated This embodiment describes a kind of data analysis of traditional Chinese medicine defatting DSS and prescription
Method, including：
S1. prescription data is gathered：Bariatric prescription is gathered, the Bariatric prescription includes acupuncture and moxibustion prescription, acumoxibustion prescription, prescriptions of traditional Chinese medicine, food
Treat prescription and moxa-moxibustion prescription.
The acupuncture and moxibustion prescription, acumoxibustion prescription includes prescription name, corresponding fat TCM Syndrome Type and obesity phenotype, master point, adjunct acupuncture points, manipulator
Method, treatment time；The prescriptions of traditional Chinese medicine includes prescription name, corresponding fat TCM Syndrome Type and obesity phenotype, medicine composition with matching somebody with somebody
5, drug dose, Time of Administration；The dietotherapy prescription includes prescription name, corresponding fat TCM Syndrome Type and obesity phenotype, food
Composition and compatibility, food dosage, Time of Administration；The moxa-moxibustion prescription includes prescription name, corresponding fat TCM Syndrome Type and obesity
Type, master point, adjunct acupuncture points, operation technique, treatment time.
The obesity phenotype includes fat fat lipid type, metabolic obesity, starchiness, internal organs type obesity, pure fertilizer
Fat and obstinate type is fat.
The fat TCM Syndrome Type includes stomach energy phlegm-blood stasis type, stagnation of QI due to depression of the liver, Splenic asthenia and obstruction of dampness, liver and kidney deficiency type and the deficiency of blood
Type.
S2. prescription data is pre-processed：The Bariatric prescription data collected is pre-processed, pretreatment includes specification
Title, correction wrong word, standardization continuous data and removal noise data.
S3. prescription is excavated：Raw data base is built according to pretreated Bariatric prescription data, electronic health record is obtained
In fat TCM Syndrome Type or obesity phenotype, according to the fat TCM Syndrome Type or obesity phenotype to the data in raw data base
It is associated rule digging.
The data in raw data base are associated in the S3 rule digging be used for excavate Acupancture correlation rule,
Prescriptions of traditional Chinese medicine correlation rule, dietotherapy prescription correlation rule and moxa-moxibustion prescription correlation rule.
The Acupancture correlation rule includes fat TCM Syndrome Type-acupuncture and moxibustion prescription, acumoxibustion prescription correlation rule, at obesity phenotype-acupuncture
In square correlation rule, acupuncture and moxibustion prescription, acumoxibustion prescription in master point-adjunct acupuncture points correlation rule, acupuncture and moxibustion prescription, acumoxibustion prescription in acupuncture point-operation correlation rule, acupuncture and moxibustion prescription, acumoxibustion prescription
Acupuncture point-course for the treatment of correlation rule.
The prescriptions of traditional Chinese medicine correlation rule includes fat TCM Syndrome Type-prescriptions of traditional Chinese medicine correlation rule, at obesity phenotype-Chinese medicine
Medicine composition is with drug dose correlation rule in compatibility correlation rule, prescriptions of traditional Chinese medicine, at Chinese medicine in square correlation rule, prescriptions of traditional Chinese medicine
Time of Administration correlation rule in side.
The dietotherapy prescription correlation rule includes fat TCM Syndrome Type-dietotherapy prescription correlation rule, at obesity phenotype-dietotherapy
Food composition and compatibility correlation rule in square correlation rule, dietotherapy prescription, dietotherapy prescription food agent amount correlation rule, at dietotherapy
Time of Administration correlation rule in side.
Moxa-moxibustion fat-reducing correlation rule includes fat TCM Syndrome Type-moxa-moxibustion prescription correlation rule, at obesity phenotype-moxa-moxibustion
In square correlation rule, moxa-moxibustion prescription in master point-adjunct acupuncture points correlation rule, moxa-moxibustion prescription in acupuncture point-operation correlation rule, moxa-moxibustion prescription
Acupuncture point-course for the treatment of correlation rule.
In one embodiment, the association rule mining of the acupuncture and moxibustion prescription, acumoxibustion prescription or moxa-moxibustion prescription includes：
Using build data warehouse in the form of build for the dialectical data mining based on symptom the first data model and be used for
The second data model that Acupoints based on prescription are excavated.
As shown in Fig. 2 first data model uses snowflake schema, using disease as true table, with every kind of disease institute
Comprising various symptoms, tongue fur and pulse condition be used as dimension table.First data model can be excavated by the generation of dynamic OLAP query and calculated
Temporary data set after being projected required for method in a variety of dimensions.
As shown in figure 3, second data model uses Star Schema, using each prescription as true table, with each place
The validity scoring of main disease to be treated, acupuncture points on the human body, time and the prescription included in side is used as dimension table.Second data model can lead to
The temporary data set crossed required for dynamic OLAP query generation mining algorithm after being projected in a variety of dimensions.
Using on-line analysis processing OLAP combinations acupuncture points on the human body, three themes of prescription and illness apply acupuncture diagnosis and treatment rule
Restrain various dimensions frequency statistics；Various dimensions frequency statistics include acupuncture points on the human body frequency of usage statistical module, acupuncture and moxibustion treatment frequency statistics module,
Doctor's frequency statistics module, medical science ancient books and records frequency statistics module, the frequency statistics of the dimension such as different dynasty prescriptions.
Acupoints rule is excavated using Association Rule Analysis, selected through rule, acupuncture points on the human body branch rule, specific acupoint with rule
Rule, and target acupuncture points on the human body cave pair and cave group rule, and target disease core acupuncture point, cave pair and cave group rule.
As shown in figure 4, the acquisition methods of the fat TCM Syndrome Type or obesity phenotype in the electronic health record include：By patient
The data of electronic health record be segmented and obtain segment data；Participle is carried out to the segment data according to default dictionary for word segmentation
Obtain participle data；Language material training is carried out to participle data；Participle extracting data characteristic after language material training；According to
The characteristic is converted into corresponding classical symptom by default classical symptom storehouse, obtains the classical symptom set of patient；From
Selection obtains the fat TCM Syndrome Type or obesity phenotype of patient in the classical symptom set of patient.
As shown in figure 5, being associated rule digging to the data in raw data base in the S3：
S31. the transaction set in raw data base is converted into data cube, while recording the length of transaction set；
S32. 1- item collections and 1- high frequency collection are obtained according to data cube；
S33. k- item collections and k- high frequency collection are obtained according to 1- high frequency collection, k+1- item collections and k+1- is obtained according to k- high frequency collection
Item high frequency collection, wherein k >=2, and k is integer；
S34. all subsets of k- high frequency collection of 1- high frequency set are produced according to 1- item collections and 1- high frequency collection with described in generating
The correlation rule of things collection.
The traditional Chinese medicine defatting DSS, including basic knowledge of Chinese medicine unit, health account unit, fat information list
Member and fat data mining analysis unit.
The basic knowledge of Chinese medicine unit, for increasing newly, changing, delete and check basic knowledge of Chinese medicine, the traditional Chinese medical science base
Plinth knowledge includes meridional point knowledge, prescription, at all times acupuncture apparatus knowledge, doctor's knowledge and obesity prevention knowledge.
The health account unit includes：Electronic record module, diagnosis and treatment medication information, purchase medicine letter for recording user
Breath, physical examination information, self-examination data and health indicator information, the physical examination information include ECG information；Health risk is commented
Module is estimated, for explaining analysis to the anomaly item in physical examination information；And according to self-examination data to user's body
Health degree is evaluated, and provides medical or suggestion from procuratorial organ according to evaluation result；Health information management module, for inquiring about doctor
Treat mechanism information and medicine information；Point out the interaction between medicine taboo, and different medicines；Health self-test topic is provided,
And test result is recorded, it is that user generates health promotion plan according to test result, and in each node of health promotion plan
Between remind user；Parameter setting module, the parameters index for setting user；Health monitoring module, for according to input
Period inquire about user health and fitness information；Shown according to predetermined period and export health status of the user within each cycle；
The curve map for the indices that electrocardiogram reflects is generated according to ECG information.
The fat information unit includes：Obesity disease module, for increasing newly, deleting, change obesity disease；Obesity symptom
Module, for increasing newly, deleting, change obesity symptom；Obesity type block, for increasing newly, deleting, change obesity phenotype；Fertilizer
Fat treatment prescription module, for increasing, deleting, changing Bariatric prescription newly, and carries out the full word Duan Mo of Bariatric prescription
Paste inquiry, the Bariatric prescription includes acupuncture and moxibustion prescription, acumoxibustion prescription, prescriptions of traditional Chinese medicine, dietotherapy prescription and moxa-moxibustion prescription.
The fat data mining analysis module includes：Data analysis module, for gathering traditional Chinese medicine defatting decision support system
Data in system, the data collected are shown in the way of chart or document；Fat prescription excavates module, for excavating
Bariatric prescription.
Although present invention has been a certain degree of description, it will be apparent that, do not departing from the spirit and scope of the present invention
Under the conditions of, the appropriate change of each condition can be carried out.It is appreciated that the invention is not restricted to the embodiment, and it is attributed to right
It is required that scope, it includes the equivalent substitution of each factor.
Claims (8)
1. data analysis and the prescription method for digging of traditional Chinese medicine defatting DSS, it is characterised in that including：
S1. prescription data is gathered：Bariatric prescription is gathered, the Bariatric prescription includes acupuncture and moxibustion prescription, acumoxibustion prescription, prescriptions of traditional Chinese medicine, food
Treat prescription and moxa-moxibustion prescription；
S2. prescription data is pre-processed：The Bariatric prescription data collected is pre-processed, pretreatment includes canonical name
Claim, correct wrong word, standardization continuous data and remove noise data；
S3. prescription is excavated：Raw data base is built according to pretreated Bariatric prescription data, obtained in electronic health record
Data in raw data base are carried out by fat TCM Syndrome Type or obesity phenotype according to the fat TCM Syndrome Type or obesity phenotype
Association rule mining.
2. data analysis and the prescription method for digging of traditional Chinese medicine defatting DSS according to claim 1, its feature
It is, in the S1：
When acupuncture and moxibustion prescription, acumoxibustion prescription includes prescription name, corresponding fat TCM Syndrome Type and obesity phenotype, master point, adjunct acupuncture points, operation technique, the course for the treatment of
Between；
Prescriptions of traditional Chinese medicine include prescription name, corresponding fat TCM Syndrome Type and obesity phenotype, medicine composition and compatibility, drug dose,
Time of Administration；
Dietotherapy prescription include prescription name, corresponding fat TCM Syndrome Type and obesity phenotype, food composition and compatibility, food dosage,
Time of Administration；
When moxa-moxibustion prescription includes prescription name, corresponding fat TCM Syndrome Type and obesity phenotype, master point, adjunct acupuncture points, operation technique, the course for the treatment of
Between.
3. data analysis and the prescription method for digging of traditional Chinese medicine defatting DSS according to claim 2, its feature
Be, the obesity phenotype includes that lipid type is fat, metabolic is fat, starchiness is fat, internal organs type is fat, simple obesity and
Obstinate type is fat；
The fat TCM Syndrome Type includes stomach energy phlegm-blood stasis type, stagnation of QI due to depression of the liver, Splenic asthenia and obstruction of dampness, liver and kidney deficiency type and blood-deficiency type.
4. data analysis and the prescription method for digging of traditional Chinese medicine defatting DSS according to claim 1, its feature
It is, rule digging is associated to the data in raw data base in the S3：
S31. the transaction set in raw data base is converted into data cube, while recording the length of transaction set；
S32. 1- item collections and 1- high frequency collection are obtained according to data cube；
S33. k- item collections and k- high frequency collection are obtained according to 1- high frequency collection, k+1- item collections and k+1- is obtained according to k- high frequency collection
Item high frequency collection, wherein k >=2, and k is integer；
S34. all subsets of k- high frequency collection of 1- high frequency set are produced according to 1- item collections and 1- high frequency collection with described in generating
The correlation rule of things collection.
5. data analysis and the prescription method for digging of traditional Chinese medicine defatting DSS according to claim 1, its feature
Be, the data in raw data base are associated in the S3 rule digging be used for excavate Acupancture correlation rule, in
Effective prescription correlation rule, dietotherapy prescription correlation rule and moxa-moxibustion prescription correlation rule.
6. data analysis and the prescription method for digging of traditional Chinese medicine defatting DSS according to claim 5, its feature
It is, the Acupancture correlation rule includes fat TCM Syndrome Type-acupuncture and moxibustion prescription, acumoxibustion prescription correlation rule, obesity phenotype-acupuncture and moxibustion prescription, acumoxibustion prescription
Cave in acupuncture point-operation correlation rule, acupuncture and moxibustion prescription, acumoxibustion prescription in master point-adjunct acupuncture points correlation rule, acupuncture and moxibustion prescription, acumoxibustion prescription in correlation rule, acupuncture and moxibustion prescription, acumoxibustion prescription
Position-course for the treatment of correlation rule；
The prescriptions of traditional Chinese medicine correlation rule includes fat TCM Syndrome Type-prescriptions of traditional Chinese medicine correlation rule, obesity phenotype-prescriptions of traditional Chinese medicine and closed
Connection rule, in prescriptions of traditional Chinese medicine medicine composition with drug dose correlation rule, prescriptions of traditional Chinese medicine in compatibility correlation rule, prescriptions of traditional Chinese medicine
Time of Administration correlation rule；
The dietotherapy prescription correlation rule includes fat TCM Syndrome Type-dietotherapy prescription correlation rule, obesity phenotype-dietotherapy prescription and closed
In connection rule, dietotherapy prescription in food composition and compatibility correlation rule, dietotherapy prescription food agent amount correlation rule, dietotherapy prescription
Time of Administration correlation rule；
The moxa-moxibustion fat-reducing correlation rule includes fat TCM Syndrome Type-moxa-moxibustion prescription correlation rule, obesity phenotype-moxa-moxibustion prescription and closed
Connection rule, cave in acupuncture point-operation correlation rule, moxa-moxibustion prescription in master point-adjunct acupuncture points correlation rule, moxa-moxibustion prescription in moxa-moxibustion prescription
Position-course for the treatment of correlation rule.
7. data analysis and the prescription method for digging of traditional Chinese medicine defatting DSS according to claim 1, its feature
It is, the acquisition methods of fat TCM Syndrome Type or obesity phenotype in the electronic health record include：
The data of the electronic health record of patient be segmented to obtain segment data；
Participle is carried out to the segment data according to default dictionary for word segmentation and obtains participle data；
Language material training is carried out to participle data；
Participle extracting data characteristic after language material training；
The characteristic is converted into by corresponding classical symptom according to default classical symptom storehouse, the classical symptom of patient is obtained
Set；
Selection obtains the fat TCM Syndrome Type or obesity phenotype of patient from the classical symptom set of patient.
8. data analysis and the prescription method for digging of traditional Chinese medicine defatting DSS according to claim 1, its feature
It is, the association rule mining of the acupuncture and moxibustion prescription, acumoxibustion prescription or moxa-moxibustion prescription includes：
Using build data warehouse in the form of build for the dialectical data mining based on symptom the first data model and be used for
The second data model that Acupoints based on prescription are excavated；First data model uses snowflake schema, using disease as
True table, the various symptoms included using every kind of disease, tongue fur and pulse condition are used as dimension table；Second data model is using star-like
Pattern, using each prescription as true table, with having for the main disease to be treated included in each prescription, acupuncture points on the human body, time and the prescription
The scoring of effect property is used as dimension table；
It is many using on-line analysis processing OLAP combinations acupuncture points on the human body, three themes of prescription and illness diagnosis and treatment rule that applies acupuncture
Dimension frequency statistics；
Acupoints rule is excavated using Association Rule Analysis, selects and uses rule through rule, acupuncture points on the human body branch rule, specific acupoint, with
And cave pair and the cave group rule of target acupuncture points on the human body, and target disease core acupuncture point, cave pair and cave group rule.
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| CN109949940A (en) * | 2019-03-11 | 2019-06-28 | 金力 | A kind of big data digging system based on diabetes data library |
| CN110970115A (en) * | 2019-10-28 | 2020-04-07 | 广西科技大学 | Informatization representation method for nature, taste and meridian tropism of traditional Chinese medicine prescription |
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