CN107564590A - The method and apparatus of processing data - Google Patents
The method and apparatus of processing data Download PDFInfo
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- CN107564590A CN107564590A CN201610504697.5A CN201610504697A CN107564590A CN 107564590 A CN107564590 A CN 107564590A CN 201610504697 A CN201610504697 A CN 201610504697A CN 107564590 A CN107564590 A CN 107564590A
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Abstract
A kind of method and apparatus of processing data, this method comprise the following steps：From medical science text or a plurality of medical knowledge data of infection from hospital, the medical knowledge base being made up of a plurality of medical knowledge data is generated；The a plurality of medical data of multiple patients are obtained, generate the medical database being made up of a plurality of medical data, wherein each patient has at least one medical data, every medical packet contains multiple medical data item；For every medical data, the medical data item in part in the multiple medical data item, search and described every medical data correlation associates medical knowledge data in the medical knowledge base, and the associated data of every medical data is generated according to search result, obtain the associated data table being made up of the associated data.
Description
Technical field
The present invention relates to the method and apparatus of processing data, more particularly to the method and apparatus of processing medical data.
Background technology
With the propulsion of informationization, all kinds of health datas including electronic health record, explosive growth has been showed
Situation, data volume is past decades of times.These packets contain substantial amounts of non-structured data, such as medical imaging, medicine
Product specification etc., and clinical a large amount of image files are also the important evidence of diagnosis.Medical information needs to turn data
The resource of preciousness is turned to, effectively application structure and unstructuredness data, so as to create maximum value.
In order to effectively reduce medical-risk, improving quality of medical care, data are entered, it is necessary to which professional goes to a doctor to the reality of patient
Row analysis.However, the reality of patient is gone to a doctor, data volume is huge, and the efficiency analyzed by professional can be extremely low.Therefore, it is necessary to
A kind of technology that can improve analysis efficiency.
The content of the invention
The present invention provides a kind of method of processing data, comprises the following steps：From medical science text or a plurality of doctor of infection from hospital
Gain knowledge data, generate the medical knowledge base being made up of a plurality of medical knowledge data；Obtain a plurality of medical of multiple patients
Data, the medical database being made up of a plurality of medical data is generated, wherein each patient has at least one medical data,
Every medical packet contains multiple medical data item；For every medical data, according to the portion in the multiple medical data item
Point medical data item, search and described every medical data correlation associate medical knowledge data in the medical knowledge base,
And the associated data of every medical data is generated according to search result, obtain the associated data being made up of the associated data
Table.
Wherein, using natural language processing technique, a plurality of medical knowledge data are extracted from the medical science text.
In this way, the medical knowledge data of specialty can be obtained.
Wherein, the medical data item in the part includes medical disease, medical symptom, medical medicine, and every medical science is known
Know data and comprise at least medical knowledge data sequence number, medical science disease, medical symptom, therapeutic treatment medicine, it is medical by described every
Data generate the associated data as follows respectively as current medical data：
A) searched in the medical knowledge base medical science disease, the medical symptom, the therapeutic treatment medicine with
The medical knowledge data that the medical disease of the current medical data, medical symptom, medical medicine match one by one respectively, such as
Fruit searches, then into step e), otherwise into step b),
B) medical symptom, the therapeutic treatment medicine and the current medical number are searched in the medical knowledge base
According to the medical symptom, the medical knowledge data that match one by one respectively of the medical medicine, if searched, enter
Step d), otherwise into step c),
C) the therapeutic treatment medicine is searched in the medical knowledge base to go to a doctor with current the described of medical data
The medical knowledge data of medicine matching, if searched, into step d), otherwise into step f),
D) according to the medical knowledge base, judge the medical science disease of medical knowledge data that searches whether with it is described current
The medical disease of medical data is related, if it is, into step e), otherwise into f),
E) the association medical knowledge data using the medical knowledge data searched as the current medical data, and generate
The associated data of the current medical data, the associated data include the current medical data partial data and
Medical knowledge data sequence number, medical science disease, medical symptom, the therapeutic treatment medicine of the association medical knowledge data, the portion
Divided data be in the currently medical data in addition to the medical disease, the medical symptom, the medical medicine
Data,
F) determine not search the association medical knowledge data of the current medical data in the medical knowledge base, and
Using the currently medical data as the associated data.
In this way, by associated data, associated data table can be obtained, so as to obtain more complete and tally with the actual situation
Patient assessment's data.
Wherein, every medical knowledge data further comprise medical science correlation disease, the medical knowledge searched described in judgement
Whether the medical science correlation disease of data is identical with the medical disease of the current medical data, if identical, sentences
The medical science disease of the disconnected medical knowledge data searched is related to the medical disease of the current medical data, otherwise
It is uncorrelated.
The present invention also provides a kind of device of processing data, and described device includes：Medical knowledge base generation unit, for from
Medical science text or a plurality of medical knowledge data of infection from hospital, generate the medical knowledge being made up of a plurality of medical knowledge data
Storehouse；Medical database generation unit, for obtaining a plurality of medical data of multiple patients, is generated by a plurality of medical data group
Into medical database, wherein each patient has at least one medical data, every medical packet contains multiple medical data
；Associated data table generation unit, for for every medical data, the part in the multiple medical data item to be gone to a doctor
Data item, search and described every medical data correlation associate medical knowledge data in the medical knowledge base, and according to
Search result generates the associated data of every medical data, obtains the associated data table being made up of the associated data.
The associated data table generated by methods and apparatus of the present invention, incorrect medication that can be to medical act, medicine
Thing side effect etc. is analyzed and monitored, and so as to effectively reduce medical-risk, improves quality of medical care, and reduce medical treatment and open
Branch.In addition, by above-mentioned associated data table, expeditiously it can be analyzed and monitored without professional.
Brief description of the drawings
Fig. 1 is the schematic diagram of the device of processing data according to an embodiment of the invention；
Fig. 2 is the flow chart of the method for processing data according to an embodiment of the invention；
Fig. 3 is the particular flow sheet of the step S23 in Fig. 2.
Embodiment
Below in conjunction with the accompanying drawings, embodiments of the invention are described in detail.
Fig. 1 is the schematic diagram of the device 10 of processing data according to an embodiment of the invention, and the device 10 is known including medical science
Know storehouse generation unit 11, medical database generation unit 12 and associated data table generation unit 13.Fig. 2 is the reality according to the present invention
Apply the flow chart of the method for the processing data of example.
As shown in Fig. 2 in step S21, medical knowledge base generation unit 11 is from medical science text or a plurality of medical science of infection from hospital
Knowledge data, generate the medical knowledge base being made up of a plurality of medical knowledge data.Here, medical knowledge base generation unit 11
Using natural language processing technique, a plurality of medical knowledge data are extracted from medical science text.Wherein, medical science text includes medical science
Document and package insert etc..Here, natural language processing technique is conventional keyword is extracted and sorted out
Technology, therefore be no longer described in detail.
Furthermore it is possible to directly obtain medical knowledge at the doctor of hospital, and the medical knowledge input medical science of acquisition is known
Storehouse generation unit 11 is known, so as to obtain a plurality of medical knowledge data.Then, the medical science being made up of a plurality of medical knowledge data is generated
Knowledge base.Table 1 shows the content of the part medical knowledge data in the medical knowledge base.
Table 1
As shown in table 1, every medical knowledge data can include medical knowledge data sequence number, medical science disease, medical symptom,
Therapeutic treatment medicine, medical science correlation disease, medical inspection, medical findings etc..
In step S22, medical database generation unit 12 obtains a plurality of medical data of multiple patients, generate by it is a plurality of just
The medical database of data composition is examined, wherein each patient has at least one medical data, every medical packet is containing multiple
Medical data item.
Medical database generation unit 12 obtains the clinical data of every patient at the doctor of hospital, at structuring
Reason, a plurality of medical data are obtained, and generate medical database.Table 2 shows the medical data in part in the medical database
Content.
Table 2
As shown in table 2, every medical packet contains multiple medical data item, for example, medical data sequence number, patient's name,
Patient age, Gender, medical disease, medical symptom, medical medicine, medical inspection, medical inspection result etc..
In addition, it is its corresponding medical science numbering in Tables 1 and 2, in the bracket after specific data, for example, type 1 diabetes
(D01) D01 in bracket after is the medical science numbering of type 1 diabetes.
In step S23, for every medical data, associated data table generation unit 13, according in multiple medical data item
Part go to a doctor data item, search and every medical data correlation associates medical knowledge data, and root in medical knowledge base
The associated data of every medical data is generated according to search result, obtains the associated data table being made up of associated data.The present embodiment
In, the medical data item in part includes medical disease, medical symptom, medical medicine.The medical data item in part can be other
Project, and it is not limited to embodiments of the invention.
Fig. 3 is the particular flow sheet of step S23 in Fig. 2.Associated data table generation unit 13 will be every in medical database
Bar goes to a doctor data respectively as current medical data, generates associated data table.
Specifically, for example, associated data table generation unit 13 is using No. 21 medical data as current medical data.In step
Rapid S231, associated data table generation unit 13 search for medical science disease, medical symptom, medical science in the medical knowledge base shown in table 1
The medical disease of medicine and No. 21 medical data (type 1 diabetes (D01)), medical symptom (more drinks (C01)), with regard to diagnosis and treatment
Medicine (999 granules for treating common cold (P04)) medical knowledge data for matching one by one respectively are treated, if searched, into step S236,
Otherwise step S232 is entered.For No. 21 medical data, do not search and " type 1 diabetes (D01) ", " more drinks
(C01) ", the medical knowledge data that " 999 granules for treating common cold (P04) " is matched one by one respectively, therefore enter step S232.
In step S232, associated data table generation unit 13 searches for medical symptom, therapeutic treatment medicine in medical knowledge base
The medical symptom of thing and No. 21 medical data (more drinks (C01)), medical medicine (999 granules for treating common cold (P04)) difference one
The medical knowledge data of one matching, if searched, into step S234, otherwise into step S233.For No. 21 just
Examine data, do not search with " more drink (C01) ", " 999 granules for treating common cold (P04) " medical knowledge data for matching one by one respectively,
Therefore step S233 is entered.
In step S233, associated data table generation unit 13 searches for therapeutic treatment medicine and No. 21 in medical knowledge base
The medical knowledge data of medical medicine (999 granules for treating common cold (the P04)) matching of medical data, if searched, enter
Step S234, otherwise into step S235.For No. 21 medical data, search what is matched with " 999 granules for treating common cold (P04) "
No. 15 medical knowledge data, and enter step S24.
In step S234, associated data table generation unit 13 judges No. 15 medical science searched according to medical knowledge base
The medical science disease (epidemic virus catch a cold (D05)) of knowledge data whether medical disease (the 1 type glycosuria with No. 21 medical data
Sick (D01)) it is related, if it is, into step S236, otherwise into step S235.
As described above, every medical knowledge data include medical science correlation disease, it is single in step S234, the generation of associated data table
Member 13 judge No. 15 medical knowledge data medical science correlation disease (bacillary enteritis (D06)) whether with No. 21 medical data
Medical disease (type 1 diabetes (D01)) it is identical.Here, both differ, then judge the medical science of No. 15 medical knowledge data
Disease (epidemic virus is caught a cold (D05)) is uncorrelated to the medical disease (type 1 diabetes (D01)) of No. 21 medical data, and
Into step S235.
In step S235, associated data table generation unit 13 is determined not searching in medical knowledge base and gone to a doctor with No. 21
The association medical knowledge data of data correlation, and using No. 21 medical data as its associated data.Referring to table 3, table 3 is association
The partial content for the associated data table that tables of data generation unit 13 generates, for No. 21 medical data, generate No. 1 incidence number
According to (that is, associated data serial number 1).No. 21 medical data are as No. 1 associated data, i.e. " type 1 diabetes are (D01 ", " more
Drink (C01) ", " 999 granules for treating common cold (P04) " etc..Due to not searching association medical knowledge data, therefore No. 1 association
There is no the sequence number for associating medical knowledge data in data, i.e. the project is sky.
If in addition, for example, be directed to a medical data (not shown in table 2), at step S233, do not search with
The medical knowledge data of the medical medicine matching of the medical data of this, then be put into step S235.And as described above,
Step S235, using the medical data of this as its associated data.
Table 3
In addition, for example, using No. 27 medical data as current medical data, do not searched at step S231, because
This enters step S232.At step S232, search and (suffered from diarrhoea (C15)) with the medical symptom of No. 27 medical data, gone to a doctor
No. 16 medical knowledge data that medicine (Diarrhoea's Killer (P07)) matches one by one respectively, and enter step S234.
In step S234, as described above, judging the relevant medical disease (epidemic virus of No. 16 medical knowledge data
Catch a cold (D05)) it is identical with the medical disease (epidemic virus is caught a cold (D05)) in No. 27 medical data, then into step
S236。
In step S236, associated data table generation unit 13 is using the search No. 16 medical knowledge data as No. 27
The association medical knowledge data of medical data, and generate associated data (No. 7 incidence number in table 3 of No. 27 medical data
According to), No. 7 associated data includes the partial data of No. 27 medical data and the medical knowledge of No. 16 medical knowledge data
Data sequence number, medical science disease, medical symptom, therapeutic treatment medicine.As shown in table 3, No. 7 associated data is No. 27 medical number
According to associated data, No. 7 associated data include the medical knowledge data sequence number (16) of No. 16 medical knowledge data, medical science disease
Kind (bacillary enteritis (D06)), medical symptom (diarrhoea (C15)), therapeutic treatment medicine (Diarrhoea's Killer (P07)) and No. 27 are just
Examine the partial data of data.Here, the partial data of No. 27 medical data refers to except medical in No. 27 medical data
Data outside disease, medical symptom, medical medicine.
Similarly, No. 22 to No. 27 medical data are generated respectively according to above-mentioned steps, associated data table generation unit 13
Respective associated data, i.e. 2-6 associated datas.
As shown in table 2, patient " Liu Zhi " has two medical data, i.e. the 26th and 27 article of medical data.The patient is actual
It is upper to suffer from two kinds of diseases, i.e. epidemic virus is caught a cold and bacillary enteritis.But actual conditions are, doctor only have recorded stream
Row viral influenza and its whole related datas (that is, the 26th article of medical data).And for this disease of bacillary enteritis, only remember
Medical symptom and medical medicine (that is, No. 27 medical data) have been recorded, and has lacked the note of " bacillary enteritis " this disease
Record, that is to say, that No. 27 medical data are incomplete.
By the above method of the present invention, it is for the 7th article of associated data that No. 27 medical data ultimately generate：Disease
It is bacillary enteritis (D06), symptom is diarrhoea (C15), and medicine is Diarrhoea's Killer (P07), is consistent with actual conditions.Namely
Say, the present invention can be by diagnosis records (bacillary enteritis (D06)) completion that doctor lacks into associated data table.Therefore, lead to
The associated data table of the above method generation of the present invention is crossed, patient assessment that is more complete and tallying with the actual situation can be obtained
Data.
Concrete application one
As shown in table 3, the association medical knowledge data sequence number in No. 1 associated data is sky, then it represents that patient " Zhang San "
No. 21 medical data be inappropriate, its actual medical medicine is inappropriate.And the 2nd to the 7th article of incidence number
Association medical knowledge data sequence number in has corresponding data, then it represents that patient " Wang Qin ", " Zhou Ji ", " Lee nine ", " Liu
The respective medical data of will " are all appropriate, and their actual medical medicines are appropriate.Therefore, associated by searching for
Medical knowledge data sequence number is associated in tables of data as empty associated data, the medicine that may search for for patient is incorrect
Record, to carry out ASSOCIATE STATISTICS and analysis.
Concrete application two
Furthermore it is possible to the associated data table generated using the present invention, searches some side effects of pharmaceutical drugs data, and carry out
Statistics and analysis.For example, it is desired to search for medicine " MAOI (P05) " side effect data.
As shown in table 3, the 3rd, No. 4 associated data is patient " Zhou Ji " associated data, and patient " Zhou Ji " suffers from depression
And bronchitis, therefore MAOI and Brown Mixtura have been taken simultaneously.From table 3 it is observed that the 3rd, No. 4
The result of blood pressure measurement in associated data is all " high (H) ".By the result (height) of the blood pressure measurement in No. 3 associated data with
The result (normal) of blood pressure measurement in association medical knowledge data (that is, No. 13 medical knowledge data) is compared, can be with
Find out the results abnormity of the blood pressure measurement in No. 3 associated data, that is, drug side-effect occur.Equally, by No. 4 incidence number
The result (height) of blood pressure measurement in is with associating the blood pressure measurement in medical knowledge data (that is, No. 14 medical knowledge data)
Result (normal) be compared, it can be seen that the results abnormity of the blood pressure measurement in No. 4 associated data, that is, there is medicine
Side effect.
Because MAOI and Brown Mixtura all may cause blood pressure to raise temporarily, so, the 3rd article of association
Data cannot function as medicine " MAOI (P05) " side effect data.
In addition, as shown in table 3, No. 5 associated data is patient's " associated data of Lee nine ", by No. 5 associated data
Blood pressure measurement knot of the result (height) with associating the blood pressure measurement in medical knowledge data (that is, No. 13 medical knowledge data)
Fruit (normal) is compared, it can be seen that the results abnormity of the blood pressure measurement in No. 5 associated data, that is, the secondary work of medicine occurs
With.
Due to patient " Lee nine " only suffers from depression, and MAOI was only taken during treatment, therefore, the
No. 5 associated datas can be as medicine " MAOI (P05) " side effect data.
As set forth above, it is possible to some medicine is searched from associated data table, such as " MAOI (P05) "
Side effect data, to carry out ASSOCIATE STATISTICS and analysis.
, can be to the incorrect medication of medical act, drug side-effect etc. by the associated data table that generates of the present invention
Analyzed and monitored, so as to effectively reduce medical-risk, improve quality of medical care, and reduce medical expenses.In addition, pass through
Above-mentioned associated data table, expeditiously it can be analyzed and monitored without professional.
Although the particular embodiment of the present invention has been described, these embodiments are only stated by way of example,
It is not intended to limit the scope of the present invention.In fact, innovative approach described herein can be implemented by various other forms；This
Outside, the spirit of various omissions, replacement and change to method described herein and system without departing from the present invention can also be carried out.
The purpose of appended claims and its equivalents is to cover the such various shapes being considered within the scope and spirit of the invention
Formula or modification.
Claims (8)
- A kind of 1. method of processing data, it is characterised in that the described method comprises the following steps：From medical science text or a plurality of medical knowledge data of infection from hospital, the medical science being made up of a plurality of medical knowledge data is generated Knowledge base；The a plurality of medical data of multiple patients are obtained, the medical database being made up of a plurality of medical data are generated, wherein often Individual patient has at least one medical data, and every medical packet contains multiple medical data item；For every medical data, the medical data item in part in the multiple medical data item, in the medical knowledge Search and described every medical data correlation associate medical knowledge data in storehouse, and generate described every just according to search result The associated data of data is examined, obtains the associated data table being made up of the associated data.
- 2. the method as described in claim 1, it is characterised in that using natural language processing technique, from the medical science text Extract a plurality of medical knowledge data.
- 3. method as claimed in claim 2, it is characterised in that the medical data item in the part includes medical disease, medical disease Shape, medical medicine, every medical knowledge data comprise at least medical knowledge data sequence number, medical science disease, medical symptom, doctor Medicine is learned, using described every medical data as current medical data, generates the associated data as follows：A) searched in the medical knowledge base medical science disease, the medical symptom, the therapeutic treatment medicine with it is described The medical knowledge data that the medical disease of current medical data, medical symptom, medical medicine match one by one respectively, if searched Rope arrives, then into step e), otherwise into step b),B) medical symptom, the therapeutic treatment medicine and the current medical data are searched in the medical knowledge base The medical knowledge data that the medical symptom, the medical medicine match one by one respectively, if searched, into step D), otherwise into step c),C) the therapeutic treatment medicine and the medical treatment of the current medical data are searched in the medical knowledge base The medical knowledge data of medicine matching, if searched, into step d), otherwise into step f),D) according to the medical knowledge base, whether the medical science disease for the medical knowledge data for judging to search currently goes to a doctor with described The medical disease of data is related, if it is, into step e), otherwise into f),E) the association medical knowledge data using the medical knowledge data searched as the current medical data, and described in generation The associated data of current medical data, the associated data include the partial data of the current medical data and described Associate medical knowledge data sequence number, medical science disease, medical symptom, the therapeutic treatment medicine of medical knowledge data, the part number According to being number in the current medical data in addition to the medical disease, the medical symptom, the medical medicine According to,F) determine not search the association medical knowledge data of the current medical data in the medical knowledge base, and by institute Data of currently going to a doctor are stated as the associated data.
- 4. method as claimed in claim 3, it is characterised in that every medical knowledge data further comprise medical science related diseases Kind, whether the medical science correlation disease of the medical knowledge data searched described in judgement currently goes to a doctor described in data with described Medical disease is identical, if identical, the medical science disease of the medical knowledge data searched described in judgement is currently gone to a doctor with described The medical disease of data is related, otherwise uncorrelated.
- 5. a kind of device of processing data, it is characterised in that described device includes：Medical knowledge base generation unit, for from medical science text or a plurality of medical knowledge data of infection from hospital, generating by described more The medical knowledge base of bar medical knowledge data composition；Medical database generation unit, for obtaining a plurality of medical data of multiple patients, is generated by a plurality of medical data The medical database of composition, wherein each patient has at least one medical data, every medical packet contains multiple medical numbers According to item；Associated data table generation unit, for for every medical data, the part in the multiple medical data item to be just Data item is examined, search and described every medical data correlation associates medical knowledge data, and root in the medical knowledge base The associated data of every medical data is generated according to search result, obtains the associated data table being made up of the associated data.
- 6. device as claimed in claim 5, it is characterised in that the medical knowledge base generation unit utilizes natural language processing Technology, a plurality of medical knowledge data are extracted from the medical science text.
- 7. device as claimed in claim 6, it is characterised in that the medical data item in the part includes medical disease, medical disease Shape, medical medicine, every medical knowledge data comprise at least medical knowledge data sequence number, medical science disease, medical symptom, doctor Medicine is learned, associated data table generation unit is following to generate using described every medical data as current medical data The associated data,A) searched in the medical knowledge base medical science disease, the medical symptom, the therapeutic treatment medicine with it is described The medical knowledge data that the medical disease of current medical data, medical symptom, medical medicine match one by one respectively, if searched Rope arrives, then into step e), otherwise into step b)B) medical symptom, the therapeutic treatment medicine and the current medical data are searched in the medical knowledge base The medical knowledge data that the medical symptom, the medical medicine match one by one respectively, if searched, into step D), otherwise into step c),C) the therapeutic treatment medicine and the medical treatment of the current medical data are searched in the medical knowledge base The medical knowledge data of medicine matching, if searched, into step d), otherwise into step f),D) according to the medical knowledge base, whether the medical science disease for the medical knowledge data for judging to search currently goes to a doctor with described The medical disease of data is related, if it is, into step e), otherwise into f),E) the association medical knowledge data using the medical knowledge data searched as the current medical data, and described in generation The associated data of current medical data, the associated data include the partial data of the current medical data and described Associate medical knowledge data sequence number, medical science disease, medical symptom, the therapeutic treatment medicine of medical knowledge data, the part number According to being number in the current medical data in addition to the medical disease, the medical symptom, the medical medicine According to,F) determine not search the association medical knowledge data of the current medical data in the medical knowledge base, and by institute Data of currently going to a doctor are stated as the associated data.
- 8. device as claimed in claim 7, it is characterised in that every medical knowledge data further comprise medical science related diseases Kind, whether the medical science correlation disease of the medical knowledge data searched described in judgement currently goes to a doctor described in data with described Medical disease is identical, if identical, the medical science disease of the medical knowledge data searched described in judgement is currently gone to a doctor with described The medical disease of data is related, otherwise uncorrelated.
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| WO2005122033A1 (en) * | 2004-06-08 | 2005-12-22 | Intellectual Property Bank Corp. | Medical total information apparatus and medical total information system |
| TW200905605A (en) * | 2007-07-23 | 2009-02-01 | Ebm Technologies Inc | System of providing hygienic education information and method thereof |
| CN103688526A (en) * | 2011-06-03 | 2014-03-26 | Uc集团有限公司 | Systems and methods for registration, validation, and monitoring of users over multiple websites |
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