CN104615762A - Method and system of acquiring application relations between drugs and groups - Google Patents

Method and system of acquiring application relations between drugs and groups Download PDF

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CN104615762A
CN104615762A CN201510080460.4A CN201510080460A CN104615762A CN 104615762 A CN104615762 A CN 104615762A CN 201510080460 A CN201510080460 A CN 201510080460A CN 104615762 A CN104615762 A CN 104615762A
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crowd
information
medicine
adapted relationships
relationships
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杜雨阳
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Abstract

The invention provides a method and a system of acquiring application relations between drugs and groups. The method includes: acquiring massive drug instructions; extracting application relations and group information corresponding to each application relation, from each drug instruction; recording and storing a datum, containing drug names of drugs, the application relations of each drug and the disease information corresponding to each application relation, into a database in order; determining at least one target drug and at least one target group; matching the target drugs and the target groups data with data in the database, one by one, to obtain matching group information; extracting the application relation and the drug name from data recording of the matching group information; returning a reminder which contains the matching group information and the application relation and drug name extracted from the data recording of the matching group information.

Description

Obtain the method and system of adapted relationships between medicine and crowd
Technical field
The present invention relates to drug world, specifically a kind of method and system obtaining adapted relationships between medicine and crowd.
Background technology
" Pharmaceutical Administration Law of the People's Republic of China " the 102 article is defined as about medicine: for preventing, treating, diagnose the disease of people, on purpose mediator physiological function and regulation has that indication or function cure mainly, the material of usage and consumption, comprise Chinese crude drug, the prepared slices of Chinese crude drugs, Chinese patent drug, medicinal chemicals and preparation thereof, microbiotic, biochemical drug, radioactive drugs, serum, vaccine, blood product and diagnostic aid etc.Medicine is a kind of special commodity, and medicine is directly connected to the healthy even life living or death of people, and therefore the quality of medicine all has strict specification with using.
Package insert is the statutory document stating clearly medicine important information, is the legal guide selecting medicine.According to the regulation of " law of medicine management " the 54 article, medicine must have instructions.The content of package insert should comprise: the name of an article, specification, manufacturing enterprise, the approval number of the drug, batch number, the term of validity, principal ingredient, the indication of medicine or function cures mainly, usage, consumption, taboo, bad reaction and points for attention, Chinese medicine preparation instructions also should comprise: main flavour of a drug (composition) proterties, pharmacological action, storage etc.In the taboo of package insert, points for attention, the content such as bad reaction or usage and dosage, clearly can specify the crowd that this medicine cannot use, the crowd of prudent user or needs to follow the doctor's advice the crowd used, such as: medicine A is used for children and the consumption for being grown up is different; Medicine B may be used for adult, but can not be used for children; Medicine C is to different etc. the situation of applicability of healthy population and band sick people.In actual use, the elderly may with multiple disease of not curing, then this old man may belong to very in Different crowds, a variety of medicine can not use, the now selection of medicine will become very complicated, manpower is difficult to remember all non-serviceable medicines, if accidentally employ non-serviceable medicine in use, then may produce serious consequence; If remove by manpower package insert of leafing through, then greatly reduce work efficiency.
Summary of the invention
For this reason, it is the technical matters that cannot obtain the adapted relationships between medicine and crowd in prior art in real time that the present invention will solve, and for solving the problems of the technologies described above, the technical solution used in the present invention is as follows:
Obtain a method for adapted relationships between medicine and crowd, comprise the steps:
Obtain magnanimity package insert;
Extract in often kind of package insert and represent adapted relationships and crowd's information corresponding to often kind of adapted relationships;
Successively various adapted relationships corresponding to the nomenclature of drug of often kind of medicine, this medicine and crowd's information corresponding to often kind of adapted relationships are stored in database as a data record;
Determine at least one target medicine and at least one class target group;
All target medicine, target group are mated one by one with the data in described database, obtains crowd's information of mating;
Adapted relationships, nomenclature of drug is extracted from the data record at crowd's information place of coupling;
Return information, described information comprises the adapted relationships and nomenclature of drug extracted the data record at crowd's information of described coupling, described crowd's information place from coupling.
Described method, described extraction is often planted in package insert and is represented that the step of adapted relationships and crowd's information corresponding to often kind of adapted relationships comprises:
Extract the content of at least one field in the taboo in often kind of package insert, points for attention, bad reaction or usage and dosage field;
Semantic analysis is carried out to foregoing, obtains the expression adapted relationships relevant to often kind of medicine and crowd's information corresponding to often kind of adapted relationships.
Described method, mates with the data in described database one by one by all target medicine, target group, obtains the step of crowd's information of mating, comprising:
Inquire about the data record that each target medicine is corresponding in a database successively;
Successively each target group is mated with the crowd's information in the every bar data record inquired respectively, judge whether to there is identical crowd; If there is identical crowd, then by the crowd's information in this data record, as crowd's information of coupling.
Described method, described adapted relationships comprises: forbid, be cautious use of, physician guidance use maybe can use.
Obtain a system for adapted relationships between medicine and crowd, comprising:
Acquiring unit, for obtaining magnanimity package insert;
First extraction unit, represents adapted relationships and crowd's information corresponding to often kind of adapted relationships for extracting in often kind of package insert;
Database unit, for being stored in database using various adapted relationships corresponding to the nomenclature of drug of often kind of medicine, this medicine and crowd's information corresponding to often kind of adapted relationships as a data record successively;
Target determination unit, for determining at least one target medicine and at least one class target group;
Matching unit, for all target medicine, target group being mated one by one with the data in described database, obtains crowd's information of mating;
Second extraction unit, extracts adapted relationships, nomenclature of drug in the data record for the crowd's information place from coupling;
Result output unit, for returning information, described information comprises the adapted relationships and nomenclature of drug extracted the data record at crowd's information of described coupling, described crowd's information place from coupling.
Described system, described first extraction unit comprises further:
Adapted relationships extracts subelement, for extracting the content of at least one field in taboo in often kind of package insert, points for attention, bad reaction or usage and dosage field;
Semantic analysis subelement, for carrying out semantic analysis to foregoing, obtains the expression adapted relationships relevant to often kind of medicine and crowd's information corresponding to often kind of adapted relationships.
Described system, described matching unit comprises further:
Inquiry subelement, for inquiring about data record corresponding to each target medicine in a database successively;
Same people coupling subelement, for each target group being mated with the crowd's information in the every bar data record inquired respectively successively, judges whether to there is identical crowd; If there is identical crowd, then by the crowd's information in this data record, as crowd's information of coupling.
Described system, described adapted relationships comprises: forbid, be cautious use of, physician guidance use maybe can use.
Technique scheme of the present invention has the following advantages compared to existing technology:
The invention provides a kind of method and system obtaining adapted relationships between medicine and crowd, adapted relationships that this medicine comprises and crowd corresponding to often kind of adapted relationships is obtained by package insert, as: forbid, be cautious use of, physician guidance uses and can use, and set up the linked database of nomenclature of drug-adapted relationships-crowd; When user uses, only need input target medicine and target group, just can return and comprise successively: crowd's information, nomenclature of drug and the information of adapted relationships of mating between the two, convenient and swift, this just solves manpower and is difficult to remember all non-serviceable medicines, if accidentally employ non-serviceable medicine in use, then may produce the problem of serious consequence.
Accompanying drawing explanation
In order to make content of the present invention be more likely to be clearly understood, below according to a particular embodiment of the invention and by reference to the accompanying drawings, the present invention is further detailed explanation, wherein
Fig. 1 is the process flow diagram according to the method for adapted relationships between the acquisition medicine of first embodiment of the invention and crowd;
Fig. 2 is the structural representation according to the system of adapted relationships between the acquisition medicine of second embodiment of the invention and crowd.
Embodiment
Embodiment 1
As shown in Figure 1, the acquisition medicine in the present embodiment and the method for adapted relationships between crowd, comprise building database, input inquiry condition and export information three processes, can by having the computing machine that realizes following function or server realizes.
First, the process of building database is as follows:
S1: obtain magnanimity package insert.Due to describe in package insert this medicine forbidding, be cautious use of, avoid use, physician guidance use and operable crowd, therefore, these information is obtained by package insert, objective and accurate, there is authority, and instructions is generally recorded in the mode of word, it is all very convenient to carry out semantic analysis, keyword extraction.
S2: extract in often kind of package insert and represent adapted relationships and crowd's information corresponding to often kind of adapted relationships.Described adapted relationships can comprise: forbid, be cautious use of, physician guidance use and can use, wherein, namely forbidding prohibits the use, all medicines belonging to forbidding, must strict implement medicine illustrate regulation, forbid that specific crowd uses, as morphine can suppress respiratory center, bronchial astehma and pulmonary heart disease patients forbidding; It is careful to be cautious use of when referring to application medicine, but be not definitely can not apply, what be put into " being cautious use of " scope generally has following crowd: children's, old man, pregnant woman and the heart, the full person of Liver and kidney function; Physician guidance uses and refers to that needs use under the guidance of doctor, it is common dose as the dosage on instructions, but due to the state of an illness of different crowd, physique and different to the sensitivity of medicine, consumption is also just different, and doctor can specifically process as the case may be; Can use and refer to that population all can use this medicine.
Can specifically comprise the steps: in step s 2
S21: the content extracting at least one field in the taboo in often kind of package insert, points for attention, bad reaction or usage and dosage field.Owing to representing in package insert that adapted relationships and crowd's information dispersion corresponding to often kind of adapted relationships are present in one or more field of above-mentioned field, the field location existing for above-mentioned information in different package inserts is also different, so in practical operation, need go according to different situations to extract above-mentioned information.
S22: carry out semantic analysis to foregoing, obtains the expression adapted relationships relevant to often kind of medicine and crowd's information corresponding to often kind of adapted relationships.Described semantic analysis can for manually to carry out semantic analysis to foregoing, obtains expression adapted relationships that often kind of medicine is correlated with and crowd's information corresponding to often kind of adapted relationships; Also a preliminary extraction identification can be carried out by computing machine, then owing to manually carrying out semantic analysis; Or directly by computing machine, semantic analysis is carried out to the package insert of electronics, obtain expression adapted relationships that often kind of medicine is correlated with and crowd's information corresponding to often kind of adapted relationships.In a word, the object of this step for from the field mentioned by step S21, obtains the expression adapted relationships relevant to often kind of medicine and crowd's information corresponding to often kind of adapted relationships.
S3: successively various adapted relationships corresponding to the nomenclature of drug of often kind of medicine, this medicine and crowd's information corresponding to often kind of adapted relationships are stored in database as a data record.Described database can be the linked database of nomenclature of drug-adapted relationships-crowd.
Such as: for medicine A 1, four following data records can be had, and following four data records are stored in database;
Nomenclature of drug Adapted relationships Corresponding crowd
A 1 Forbidding a 1、a 2……a n
A 1 Be cautious use of b 1、b 2……b n
A 1 Physician guidance uses c 1、c 2……c n
A 1 Can use d 1、d 2……d n
When magnanimity medicine, then can obtain following data record, and following data record is stored in database successively; Crowd's brief introduction corresponding for adapted relationships can also be established in data in the lump during building database, be convenient to follow-up use.
Then, the process of input inquiry condition is as follows:
S4: determine at least one target medicine and at least one class target group.Target medicine and target group refer to the adapted relationships situation between the current medicine that user needs to obtain and current crowd.Such as: user inputs target medicine A 1, target group B and target group C.In concrete use, input alternate item can be set and allow user select the target medicine that will input, or directly be inputted the title of medicine by user; Target group, can arrange input alternate item equally allows user therefrom select, comprise as inputted alternate item: children, pregnant woman, liver, kidney, the heart etc., wherein, suffers from liver diseases or the bad crowd of liver function is unified is replaced by " liver " in menu, suffer from heart disease or the bad crowd of heart function is unified is replaced by " heart " in menu, the rest may be inferred, equally also directly can input target group by user.As a preferred version, crowd's keyword can be gone out according to target group's semantic analysis of user's input; As: it is 3 years old that user inputs target group, then crowd's keyword that semantic analysis goes out to obtain is children's; It is bad that user inputs liver function, then crowd's keyword that semantic analysis goes out to obtain is " liver ", is convenient to follow-up coupling by resolving crowd's keyword from target group.
Then, the process exporting information is as follows:
S5: all target medicine, target group are mated one by one with the data in described database, obtains crowd's information of mating.
Can specifically comprise the steps: in step s 5
S51: inquire about the data record that each target medicine is corresponding in a database successively;
S52: successively each target group is mated with the crowd's information in the every bar data record inquired respectively, judge whether to there is identical crowd; If there is identical crowd, then by the crowd's information in this data record, as crowd's information of coupling.
Because the every bar data in database are recorded as: the various adapted relationships that nomenclature of drug, this medicine are corresponding and crowd corresponding to often kind of adapted relationships, so after target medicine is determined, data successively corresponding to current goal medicine record that to carry out inquiry just passable, go to mate the crowd's information in the data record corresponding to current goal medicine with target group, convenient and simple, when coupling obtains identical crowd, then by the crowd's information in this data record, as crowd's information of coupling; When not obtaining identical crowd, then do not process.
Now illustrate the process of step S5 by following example, such as: existing target medicine A 1, target group b 1, c 1, then carry out twice coupling in a database, twice coupling is all at target medicine A 1corresponding data are recorded and are carried out, and the 1st time coupling uses target group b 1target medicine A in matching database successively 1the crowd that all adapted relationships are corresponding, the 2nd coupling crowd's key word c 1target medicine A in matching database successively 1the crowd that all adapted relationships are corresponding, as long as the match is successful, then crowd's information of mating in return data storehouse, if crowd corresponding during building database has brief introduction, then corresponding in return data storehouse crowd's information and brief introduction.When the quantity of target medicine be 2 kinds and two or more time, the method of its coupling is consistent with aforesaid way, each target medicine is combined respectively with target group and mates, as long as find that any one coupling combination has record in a database, then export current matching crowd's information corresponding in a database, if mate unsuccessful, then do not process.
S6: extract adapted relationships, nomenclature of drug from the data record at crowd's information place of coupling.During Database, in a data record, there is the adapted relationships between current medicine and corresponding crowd, so according to crowd's information of the coupling obtained in step S5, the adapted relationships of current goal medicine and current goal crowd just can be obtained.
S7: return information, described information comprises the adapted relationships and nomenclature of drug extracted the data record at crowd's information of described coupling, described crowd's information place from coupling.According to the information extracted in step S6, then the information that computing machine finally returns can comprise mated crowd, the adapted relationships of above-mentioned acquisition and current goal medicine.Such as: crowd b 1be cautious use of medicine A 1; Crowd c 1physician guidance uses medicine A 1; Or form is: physician guidance uses crowd c 1medicine A 1information.This just makes output succinctly understandable, raises the efficiency.When the target group inputted has multiple or target medicine, then described information branch is exported just passable, or apportion export just passable.
The method of adapted relationships between the acquisition medicine that the present embodiment provides and crowd, adapted relationships that this medicine comprises and crowd corresponding to often kind of adapted relationships is obtained by package insert, as: forbid, be cautious use of, physician guidance uses and can use, and set up the linked database of nomenclature of drug-adapted relationships-crowd; When user uses, only need input target medicine and target group, just can return and comprise successively: crowd's information, nomenclature of drug and the information of adapted relationships of mating between the two, convenient and swift, this just solves manpower and is difficult to remember all non-serviceable medicines, if accidentally employ non-serviceable medicine in use, then may produce the problem of serious consequence.
Embodiment 2
As shown in Figure 2, the present embodiment provides a kind of system obtaining adapted relationships between medicine and crowd, comprising:
Acquiring unit, for obtaining magnanimity package insert;
First extraction unit, represents adapted relationships and crowd's information corresponding to often kind of adapted relationships for extracting in often kind of package insert.Described first extraction unit may further include: adapted relationships extracts subelement, for extracting the content of at least one field in taboo in often kind of package insert, points for attention, bad reaction or usage and dosage field; Semantic analysis subelement, for carrying out semantic analysis to foregoing, obtains the expression adapted relationships relevant to often kind of medicine and crowd's information corresponding to often kind of adapted relationships.
Database unit, for being stored into various adapted relationships corresponding to the nomenclature of drug of often kind of medicine, this medicine and crowd's information corresponding to often kind of adapted relationships in database as a data record successively.
Target determination unit, for determining at least one target medicine and at least one class target group;
Matching unit, for all target medicine, target group being mated one by one with the data in described database, obtains crowd's information of mating.Described matching unit may further include: inquiry subelement, for inquiring about data record corresponding to each target medicine in a database successively; Same people coupling subelement, for each target group being mated with the crowd's information in the every bar data record inquired respectively successively, judges whether to there is identical crowd; If there is identical crowd, then by the crowd's information in this data record, as crowd's information of coupling.
Second extraction unit, extracts adapted relationships, nomenclature of drug in the data record for the crowd's information place from coupling;
Result output unit, for returning information, described information comprises the adapted relationships and nomenclature of drug extracted the data record at crowd's information of described coupling, described crowd's information place from coupling.
On the basis of such scheme, described adapted relationships can comprise: forbid, be cautious use of, physician guidance use maybe can use.In actual use, can increase or reduce the kind of described adapted relationships as required.
The system of adapted relationships between the acquisition medicine that the present embodiment provides and crowd, adapted relationships that this medicine comprises and crowd corresponding to often kind of adapted relationships is obtained by package insert, as: forbid, be cautious use of, physician guidance uses and can use, and set up the linked database of nomenclature of drug-adapted relationships-crowd; When user uses, only need input target medicine and target group, just can return and comprise successively: crowd's information, nomenclature of drug and the information of adapted relationships of mating between the two, convenient and swift, this just solves manpower and is difficult to remember all non-serviceable medicines, if accidentally employ non-serviceable medicine in use, then may produce the problem of serious consequence.
Obviously, above-described embodiment is only for clearly example being described, and the restriction not to embodiment.For those of ordinary skill in the field, can also make other changes in different forms on the basis of the above description.Here exhaustive without the need to also giving all embodiments.And thus the apparent change of extending out or variation be still among the protection domain of the invention.

Claims (8)

1. obtain a method for adapted relationships between medicine and crowd, it is characterized in that, comprise the steps:
Obtain magnanimity package insert;
Extract in often kind of package insert and represent adapted relationships and crowd's information corresponding to often kind of adapted relationships;
Successively various adapted relationships corresponding to the nomenclature of drug of often kind of medicine, this medicine and crowd's information corresponding to often kind of adapted relationships are stored in database as a data record;
Determine at least one target medicine and at least one class target group;
All target medicine, target group are mated one by one with the data in described database, obtains crowd's information of mating;
Adapted relationships, nomenclature of drug is extracted from the data record at crowd's information place of coupling;
Return information, described information comprises the adapted relationships and nomenclature of drug extracted the data record at crowd's information of described coupling, described crowd's information place from coupling.
2. method according to claim 1, is characterized in that, described extraction is often planted in package insert and represented that the step of adapted relationships and crowd's information corresponding to often kind of adapted relationships comprises:
Extract the content of at least one field in the taboo in often kind of package insert, points for attention, bad reaction or usage and dosage field;
Semantic analysis is carried out to foregoing, obtains the expression adapted relationships relevant to often kind of medicine and crowd's information corresponding to often kind of adapted relationships.
3. method according to claim 1 and 2, is characterized in that, all target medicine, target group is mated one by one with the data in described database, obtains the step of crowd's information of mating, comprising:
Inquire about the data record that each target medicine is corresponding in a database successively;
Successively each target group is mated with the crowd's information in the every bar data record inquired respectively, judge whether to there is identical crowd; If there is identical crowd, then by the crowd's information in this data record, as crowd's information of coupling.
4. according to the arbitrary described method of claim 1-3, it is characterized in that, described adapted relationships comprises: forbid, be cautious use of, physician guidance uses and maybe can use.
5. obtain a system for adapted relationships between medicine and crowd, it is characterized in that, comprising:
Acquiring unit, for obtaining magnanimity package insert;
First extraction unit, represents adapted relationships and crowd's information corresponding to often kind of adapted relationships for extracting in often kind of package insert;
Database unit, for being stored in database using various adapted relationships corresponding to the nomenclature of drug of often kind of medicine, this medicine and crowd's information corresponding to often kind of adapted relationships as a data record successively;
Target determination unit, for determining at least one target medicine and at least one class target group;
Matching unit, for all target medicine, target group being mated one by one with the data in described database, obtains crowd's information of mating;
Second extraction unit, extracts adapted relationships, nomenclature of drug in the data record for the crowd's information place from coupling;
Result output unit, for returning information, described information comprises the adapted relationships and nomenclature of drug extracted the data record at crowd's information of described coupling, described crowd's information place from coupling.
6. system according to claim 5, is characterized in that, described first extraction unit comprises further:
Adapted relationships extracts subelement, for extracting the content of at least one field in taboo in often kind of package insert, points for attention, bad reaction or usage and dosage field;
Semantic analysis subelement, for carrying out semantic analysis to foregoing, obtains the expression adapted relationships relevant to often kind of medicine and crowd's information corresponding to often kind of adapted relationships.
7. the system according to claim 5 or 6, is characterized in that, described matching unit comprises further:
Inquiry subelement, for inquiring about data record corresponding to each target medicine in a database successively;
Same people coupling subelement, for each target group being mated with the crowd's information in the every bar data record inquired respectively successively, judges whether to there is identical crowd; If there is identical crowd, then by the crowd's information in this data record, as crowd's information of coupling.
8. according to the arbitrary described system of claim 5-7, it is characterized in that, described adapted relationships comprises: forbid, be cautious use of, physician guidance uses and maybe can use.
CN201510080460.4A 2015-02-13 2015-02-13 Method and system of acquiring application relations between drugs and groups Pending CN104615762A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108009198A (en) * 2017-10-26 2018-05-08 康美健康云服务有限公司 Medicine method, system, electronic equipment and storage medium are recommended based on user behavior
CN114067947A (en) * 2021-11-18 2022-02-18 杨成兴 Cloud data case and transmission system based on data sharing and information intercommunication

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102012974A (en) * 2010-12-15 2011-04-13 中国人民解放军第四军医大学 Clinical safe and rational administration decision support system
CN102402648A (en) * 2011-12-29 2012-04-04 重庆大学 Medicine selection assistant decision-making system
US20120317127A1 (en) * 2011-06-13 2012-12-13 International Business Machines Corporation Cohort driven selection of medical diagnostic tests
CN103871010A (en) * 2012-12-14 2014-06-18 国际商业机器公司 Method, device and medical information system for prompting medication safety

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102012974A (en) * 2010-12-15 2011-04-13 中国人民解放军第四军医大学 Clinical safe and rational administration decision support system
US20120317127A1 (en) * 2011-06-13 2012-12-13 International Business Machines Corporation Cohort driven selection of medical diagnostic tests
CN102402648A (en) * 2011-12-29 2012-04-04 重庆大学 Medicine selection assistant decision-making system
CN103871010A (en) * 2012-12-14 2014-06-18 国际商业机器公司 Method, device and medical information system for prompting medication safety

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
闫佳佳等: "650份药品说明书中特殊人群用药情况调查分析", 《中国处方药》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108009198A (en) * 2017-10-26 2018-05-08 康美健康云服务有限公司 Medicine method, system, electronic equipment and storage medium are recommended based on user behavior
CN114067947A (en) * 2021-11-18 2022-02-18 杨成兴 Cloud data case and transmission system based on data sharing and information intercommunication

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