CN113889215A - Incompatibility early warning prompting method, device, equipment and storage medium - Google Patents
Incompatibility early warning prompting method, device, equipment and storage medium Download PDFInfo
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- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
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Abstract
The invention relates to the technical field of traditional Chinese medicine compatibility data processing, in particular to a incompatibility early warning prompting method, device, equipment and storage medium. The method comprises the steps of obtaining a medicine purchase order; extracting each first medicine information from the medicine purchasing order; searching according to the first medicine information to obtain each first component medicinal material; carrying out eighteen-anti-association retrieval and nineteen-incompatibilities association retrieval on each first medicinal material name; when judging that eighteen antagonisms and/or nineteen incompatibilities exist among the first medicinal material names, generating corresponding first medicinal early warning prompt information; and sending the first medicine early warning prompt information to the client. The invention can provide an effective incompatibility early warning prompting mechanism so as to obtain the incompatibility early warning prompting information of corresponding medicines in time when a consumer purchases the medicines, thereby carrying out cautious and safe medication.
Description
Technical Field
The invention relates to the technical field of traditional Chinese medicine compatibility data processing, in particular to a incompatibility early warning prompting method, device, equipment and storage medium.
Background
Traditional Chinese medicine is a precious wealth created by Chinese nationalities for five thousand years, makes a great contribution to the reproduction and the growth of the nationalities, and has a complete systematic theoretical system. The compatibility of Chinese medicinal formulas is an important means of Chinese medicinal treatment, is used as the core of the Chinese medicinal treatment, reflects the law of Chinese medicinal treatment, and is a key link in the research of Chinese medicinal compatibility. Incompatibility refers to the fact that the direct physical or chemical interaction of drugs in vitro affects the efficacy or toxicity of the drugs, and is generally classified into physical and chemical ones. In clinic, if several injections are used together, there will be incompatibility. Can reduce or lose the efficacy of the medicine, even can cause adverse drug reactions, and should be avoided.
The incompatibility of Chinese herbs is mainly eighteen antagonisms and nineteen incompatibilities. Eighteen antagonisms refers to three groups of traditional Chinese medicines mainly comprising liquorice, aconite and veratrum nigrum, which have opposite effects on the other traditional Chinese medicines respectively, and specifically comprises the following components: radix Glycyrrhizae, radix kansui, radix Knoxiae, Sargassum, and flos Genkwa; bulbus Fritillariae Cirrhosae, fructus Trichosanthis, rhizoma Pinelliae, radix Ampelopsis, and rhizoma Bletillae; rhizoma et radix Veratri, radix Adenophorae, Saviae Miltiorrhizae radix, radix scrophulariae, herba asari and radix Paeoniae. "nineteen incompatibilities" refers to incompatible drugs in nineteen traditional Chinese medicines, which should not be mixed with each other, specifically: sulfur, intolerance of hackberry, mercury, arsenic trioxide, radix euphorbiae lantu, phengopyrum, croton, morning glory, clove, curcuma aromatica, radix aconiti agrestis, oxhorn, nitum, rhizoma sparganii, cinnamon, red halloysite and ginseng, phengopterus dung.
In the field of traditional Chinese medicine e-commerce, if the orders contain the opposite and mutual-incompatible traditional Chinese medicines, at present, related reminding and early warning mechanisms are lacked, so that medical accidents such as medicine efficacy weakening, side effects, poisoning and the like can easily occur after the consumers buy the traditional Chinese medicines by themselves. There is therefore a need for an effective warning alert mechanism to notify consumers of possible risks.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a incompatibility early warning prompting method, a device, equipment and a storage medium, and when the incompatibility early warning prompting method is applied, an effective incompatibility early warning prompting mechanism can be provided, so that when a consumer purchases a medicine, incompatibility early warning prompting information of the corresponding medicine can be obtained in time, and further careful and safe medication can be carried out.
In a first aspect, the present invention provides a incompatibility early warning method, including:
acquiring a medicine purchase order from a client;
extracting each first medicine information from the medicine purchasing order;
searching a first component medicinal material corresponding to each first medicine information from a medicine information base according to each first medicine information, and constructing a first medicinal material name corresponding to each first component medicinal material;
performing eighteen-anti-correlation retrieval on the first medicinal material names according to a preset eighteen-anti-query library, and judging whether eighteen-anti-correlation exists among the first medicinal material names;
performing nineteen-daub association retrieval on each first medicine name according to a preset nineteen-daub query library, and judging whether a nineteen-daub relationship exists between the first medicine names;
when judging that eighteen antagonisms and/or nineteen incompatibilities exist among the first medicinal material names, generating corresponding first medicinal early warning prompt information;
and sending the first medicine early warning prompt information to the client.
Based on the content of the invention, corresponding medicine information is extracted from a medicine purchasing order of a client, component medicinal materials of each medicine in the order are obtained by searching a medicine information base according to the medicine information, then eighteen-antagonism associated search and nineteen-antagonism associated search are carried out on all the component medicinal materials in an eighteen-antagonism query base and a nineteen-antagonism query base, whether eighteen-antagonism and/or nineteen-antagonism relationships exist among the component medicinal materials is judged, if yes, corresponding medication early warning prompt information is generated and sent to the client, so that a consumer can obtain corresponding incompatibility early warning prompt information in time when purchasing the medicine, and then cautious and safe medication is carried out according to the early warning prompt information.
In one possible design, the method further includes:
acquiring a historical medicine purchasing order of a corresponding client;
extracting information of each second medicine from the historical medicine purchasing orders;
searching second component medicinal materials corresponding to the second medicine information from the medicine information base according to the second medicine information, and constructing second medicinal material names corresponding to the second component medicinal materials;
performing eighteen-inverse correlation search on the first medicinal material names and the second medicinal material names according to a preset eighteen-inverse query library, and judging whether eighteen-inverse relations exist between the first medicinal material names and the second medicinal material names or not;
performing nineteen-daub association search on each first medicine name and each second medicine name according to a preset nineteen-daub query library, and judging whether a nineteen-daub relationship exists between each first medicine name and each second medicine name;
when judging that eighteen-antagonism relation and/or nineteen-intolerance relation exist between each first medicine name and each second medicine name, generating corresponding second medicine early warning prompt information;
and sending the second medicine early warning prompt information to the client.
Based on the content of the invention, the medicine information in the historical medicine purchasing order can be extracted according to the historical medicine purchasing order of the client, the corresponding component medicinal materials of the medicine purchased by the consumer in the past are obtained through searching, then eighteen-antagonism associated searching and nineteen-antagonism associated searching are carried out on the component medicinal materials of the medicine purchased at the time, whether the eighteen-antagonism and/or nineteen-antagonism relation exists between the component medicinal materials and the medicine purchased at the time is judged, if yes, corresponding medicine use early warning prompt information is generated and sent to the client, so that the consumer can carry out cautious and safe medicine use according to the early warning prompt information when the mixed medicine of the currently purchased medicine and the medicine purchased in the past is carried out.
In one possible design, the first medicine information includes a medicine name and a product number, and the retrieving the first component medicine corresponding to each first medicine information from the medicine information base according to each first medicine information includes:
retrieving the drug items of the corresponding drugs from the drug information base according to the drug names and the product numbers;
extracting the component medicinal materials of the medicine from the medicine item as first component medicinal materials.
In one possible design, the eighteen anti-query library comprises eighteen anti-query tables, and the eighteen anti-query tables have corresponding relations of eighteen anti-drug names listed therein.
In one possible design, the nineteen-axle-plus query library contains a nineteen-axle-plus query table in which the corresponding relationship of the nineteen-axle-plus drug names is listed.
In one possible design, the generating the corresponding first medication early warning prompt message includes:
extracting a first medicine name with eighteen antagonisms and/or nineteen incompatibilities and corresponding first medicine information;
carrying out association of eighteen antagonisms and/or nineteen incompatibilities on the first medicinal material name with eighteen antagonisms and/or nineteen incompatibilities;
acquiring pharmacological descriptions of eighteen antagonisms and/or nineteen incompatibilities relations among the first medicinal material names after the eighteen antagonisms relations and/or nineteen incompatibilities relations are associated;
and carrying out data packaging on the first medicine name and corresponding pharmacological description after the eighteen-antagonism relation and/or the nineteen-intolerance relation are associated and the first medicine information to generate first medicine early warning prompt information.
In a second aspect, the present invention provides a incompatibility early warning device, comprising:
the acquisition unit is used for acquiring a medicine purchase order from a client;
the extraction unit is used for extracting each piece of first medicine information from the medicine purchase order;
the retrieval unit is used for retrieving and obtaining first component medicinal materials corresponding to the first medicine information from the medicine information base according to the first medicine information and constructing first medicinal material names corresponding to the first component medicinal materials;
the first judgment unit is used for performing eighteen-inverse correlation retrieval on the first medicinal material names according to a preset eighteen-inverse query library and judging whether eighteen-inverse relations exist among the first medicinal material names or not;
the second judgment unit is used for performing nineteen-incompatibilities association retrieval on the first medicine names according to a preset nineteen-incompatibilities query library and judging whether nineteen-incompatibilities exist among the first medicine names or not;
the generating unit is used for generating corresponding first medicine early warning prompt information when judging that eighteen-antagonism relations and/or nineteen-incompatibilities relations exist among the first medicine names;
and the sending unit is used for sending the first medicine early warning prompt information to the client.
In one possible design, the obtaining unit is further configured to obtain a historical prescription order of the corresponding client;
the extraction unit is further used for extracting each piece of second medicine information from the historical medicine purchasing orders;
the retrieval unit is further used for retrieving second component medicinal materials corresponding to the second medicine information from the medicine information base according to the second medicine information and constructing second medicinal material names corresponding to the second component medicinal materials;
the first judging unit is further used for performing eighteen-inverse correlation retrieval on each first medicinal material name and each second medicinal material name according to a preset eighteen-inverse query library, and judging whether a eighteen-inverse relationship exists between each first medicinal material name and each second medicinal material name;
the second determination unit is further configured to perform nineteen-incompatibilities association retrieval on each first drug name and each second drug name according to a preset nineteen-incompatibilities query library, and determine whether a nineteen-incompatibilities relationship exists between each first drug name and each second drug name;
the generating unit is further used for generating corresponding second medicine early warning prompt information when judging that eighteen-antagonism relation and/or nineteen-incompatibilities relation exist between each first medicine name and each second medicine name;
the sending unit is also used for sending the second medicine early warning prompt information to the client.
In a third aspect, the present invention provides a incompatibility early warning device, comprising:
a memory to store instructions;
a processor configured to read the instructions stored in the memory and execute the method according to any of the above first aspects.
In a fourth aspect, the present invention provides a computer readable storage medium having stored thereon instructions which, when run on a computer, cause the computer to perform the method of any of the first aspects described above.
In a fifth aspect, the present invention provides a computer program product comprising instructions which, when run on a computer, cause the computer to perform the method of any of the first aspects described above.
The invention has the beneficial effects that:
according to the invention, corresponding medicine information is extracted from a medicine purchasing order of a client, the component medicinal materials of each medicine in the order are obtained according to the medicine information retrieval medicine information base, then all the component medicinal materials are subjected to eighteen-bar correlation retrieval and nineteen-bar correlation retrieval in an eighteen-bar query base and a nineteen-bar query base, whether eighteen-bar correlation and/or nineteen-bar correlation exists between the component medicinal materials is judged, if yes, corresponding medication early warning prompt information is generated and sent to the client, so that a consumer can timely obtain corresponding incompatibility early warning prompt information when purchasing the medicine, and then cautious and safe medication is carried out according to the early warning prompt information.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without any creative effort.
FIG. 1 is a schematic representation of the steps of a first method of the present invention;
FIG. 2 is a schematic diagram of the steps of a second method of the present invention;
FIG. 3 is a schematic structural diagram of the apparatus of the present invention;
FIG. 4 is a schematic diagram of the apparatus of the present invention.
Detailed Description
The invention is further described with reference to the following figures and specific embodiments. It should be noted that the description of the embodiments is provided to help understanding the present invention, but the present invention is not limited thereto. Specific structural and functional details disclosed herein are merely illustrative of example embodiments of the invention. This invention may, however, be embodied in many alternate forms and should not be construed as limited to the embodiments set forth herein.
It should be understood that the terms first, second, etc. are used merely for distinguishing between descriptions and are not intended to indicate or imply relative importance. Although the terms first, second, etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of example embodiments of the present invention.
In the following description, specific details are provided to facilitate a thorough understanding of example embodiments. However, it will be understood by those of ordinary skill in the art that the example embodiments may be practiced without these specific details. For example, systems may be shown in block diagrams in order not to obscure the examples in unnecessary detail. In other instances, well-known processes, structures and techniques may be shown without unnecessary detail in order to avoid obscuring example embodiments.
Example 1:
the embodiment provides a incompatibility early warning method, as shown in fig. 1, which includes the following steps:
s101, acquiring a medicine purchase order from a client.
In specific implementation, a customer submits a corresponding medicine order through a client, and the medicine order of the customer can be obtained through an online way, wherein the medicine order comprises corresponding first medicine information.
S102, extracting each piece of first medicine information from the medicine purchase order.
In specific implementation, first medicine information corresponding to each medicine purchased by a consumer can be extracted from a medicine purchasing order through a corresponding order information extraction means, and the first medicine information comprises medicine names and goods numbers.
S103, retrieving the first component medicinal materials corresponding to the first medicine information from the medicine information base according to the first medicine information, and constructing first medicinal material names corresponding to the first component medicinal materials.
In specific implementation, the drug items of the corresponding drugs can be retrieved from the drug information base according to the drug names and the item number information in the first drug information, then the component drugs of the corresponding drugs are extracted from the drug items to serve as first component drugs, and finally the first drug names corresponding to the first component drugs are constructed according to the extracted first component drugs.
S104, performing eighteen-inverse correlation retrieval on the first medicinal material names according to a preset eighteen-inverse query library, and judging whether eighteen-inverse relations exist among the first medicinal material names.
In specific implementation, the eighteen anti-query library comprises an eighteen anti-query table, the eighteen anti-query table has a corresponding relationship of eighteen anti-drug names listed therein, and the eighteen anti-query table is specifically as follows:
name of medicinal material | Eighteen antagonisms related to the name of the herb |
Licorice root, radix Glycyrrhizae | Radix kansui, Euphorbiae Pekinensis, Sargassum and flos Genkwa |
Root of common monkshood mother | Bulbus Fritillariae Cirrhosae, fructus Trichosanthis, rhizoma Pinelliae, radix Ampelopsis, and rhizoma Bletillae |
Rhizoma et radix Veratri | Ginseng radix, radix Adenophorae, Saviae Miltiorrhizae radix, radix scrophulariae, herba asari, and radix Paeoniae |
And S105, performing nineteen-incompatibilities association retrieval on the first medicine names according to a preset nineteen-incompatibilities query library, and judging whether nineteen-incompatibilities relationships exist among the first medicine names.
In specific implementation, the nineteen-axle-plus query library includes a nineteen-axle-plus query table, and the nineteen-axle-plus query table has a corresponding relationship of nineteen-axle-plus drug names listed therein, and the nineteen-axle-plus query table is specifically as follows:
s106, when judging that eighteen antagonisms and/or nineteen incompatibilities exist among the first medicine names, generating corresponding first medicine early warning prompt information.
In specific implementation, the process of generating the corresponding first-medicine early-warning prompt message includes:
extracting a first medicine name with eighteen antagonisms and/or nineteen incompatibilities and corresponding first medicine information;
carrying out association of eighteen antagonisms and/or nineteen incompatibilities on the first medicinal material name with eighteen antagonisms and/or nineteen incompatibilities;
acquiring pharmacological descriptions of eighteen antagonisms and/or nineteen incompatibilities relations among the first medicinal material names after the eighteen antagonisms relations and/or nineteen incompatibilities relations are associated;
and carrying out data packaging on the first medicine name and corresponding pharmacological description after the eighteen-antagonism relation and/or the nineteen-intolerance relation are associated and the first medicine information to generate first medicine early warning prompt information.
And S107, sending the first medicine early warning prompt information to a client.
When the method is implemented specifically, the first medicine early warning prompt information can be sent to the corresponding client side through an online way, and the first medicine early warning prompt information is received after a customer submits a medicine purchasing order through the client side and pays.
Corresponding medicine information is extracted from a medicine purchasing order of a client, component medicinal materials of each medicine in the order are obtained according to a medicine information retrieval medicine information base, then eighteen-antagonism associated retrieval and nineteen-antagonism associated retrieval are carried out on all the component medicinal materials in an eighteen-antagonism query base and a nineteen-antagonism query base, whether eighteen-antagonism and/or nineteen-antagonism relationships exist among the component medicinal materials is judged, if yes, corresponding medication early warning prompt information is generated and sent to the client, so that a consumer can timely obtain corresponding incompatibility early warning prompt information when purchasing the medicine, and cautious and safe medication is carried out according to the early warning prompt information.
Further, as shown in fig. 2, the method further includes:
s201, acquiring a historical medicine purchasing order of a corresponding client;
s202, extracting second medicine information from the historical medicine purchasing orders;
s203, retrieving second component medicinal materials corresponding to each piece of second medicine information from a medicine information base according to each piece of second medicine information, and constructing second medicinal material names corresponding to each second component medicinal material;
s204, performing eighteen-anti-correlation retrieval on the first medicinal material names and the second medicinal material names according to a preset eighteen-anti-query library, and judging whether eighteen-anti-correlation exists between the first medicinal material names and the second medicinal material names;
s205, performing nineteen-daub association retrieval on each first medicine name and each second medicine name according to a preset nineteen-daub query library, and judging whether a nineteen-daub relationship exists between each first medicine name and each second medicine name;
s206, when judging that eighteen-inverse relationships and/or nineteen-daub relationships exist between the first medicine names and the second medicine names, generating corresponding second medicine early warning prompt information;
and S207, sending the second medicine early warning prompt information to the client.
The specific implementation of each step refers to the above method steps, which are not described herein again, and according to the historical medicine purchasing order of the client, the method can also extract the medicine information in the historical medicine purchasing order, retrieve the corresponding component medicinal materials of the medicine purchased by the consumer in the past, then perform eighteen-bar correlation retrieval and nineteen-daub correlation retrieval with the component medicinal materials of the medicine purchased at the current time, determine whether a relationship of eighteen-bar and/or nineteen-daub exists between the two, and if so, generate corresponding medication early warning prompt information to send to the client, so that when the consumer performs mixed medication of the currently purchased medicine and the previously purchased medicine, the consumer can take cautious medication according to the early warning prompt information.
Example 2:
the embodiment provides a incompatibility early warning device, as shown in fig. 3, comprising:
the acquisition unit is used for acquiring a medicine purchase order from a client;
the extraction unit is used for extracting each piece of first medicine information from the medicine purchase order;
the retrieval unit is used for retrieving and obtaining first component medicinal materials corresponding to the first medicine information from the medicine information base according to the first medicine information and constructing first medicinal material names corresponding to the first component medicinal materials;
the first judgment unit is used for performing eighteen-inverse correlation retrieval on the first medicinal material names according to a preset eighteen-inverse query library and judging whether eighteen-inverse relations exist among the first medicinal material names or not;
the second judgment unit is used for performing nineteen-incompatibilities association retrieval on the first medicine names according to a preset nineteen-incompatibilities query library and judging whether nineteen-incompatibilities exist among the first medicine names or not;
the generating unit is used for generating corresponding first medicine early warning prompt information when judging that eighteen-antagonism relations and/or nineteen-incompatibilities relations exist among the first medicine names;
and the sending unit is used for sending the first medicine early warning prompt information to the client.
Furthermore, the obtaining unit is further configured to obtain a historical medicine purchasing order of the corresponding client;
the extraction unit is further used for extracting each piece of second medicine information from the historical medicine purchasing orders;
the retrieval unit is further used for retrieving second component medicinal materials corresponding to the second medicine information from the medicine information base according to the second medicine information and constructing second medicinal material names corresponding to the second component medicinal materials;
the first judging unit is further used for performing eighteen-inverse correlation retrieval on each first medicinal material name and each second medicinal material name according to a preset eighteen-inverse query library, and judging whether a eighteen-inverse relationship exists between each first medicinal material name and each second medicinal material name;
the second determination unit is further configured to perform nineteen-incompatibilities association retrieval on each first drug name and each second drug name according to a preset nineteen-incompatibilities query library, and determine whether a nineteen-incompatibilities relationship exists between each first drug name and each second drug name;
the generating unit is further used for generating corresponding second medicine early warning prompt information when judging that eighteen-antagonism relation and/or nineteen-incompatibilities relation exist between each first medicine name and each second medicine name;
the sending unit is also used for sending the second medicine early warning prompt information to the client.
Example 3:
the embodiment provides a computer device, as shown in fig. 4, in a hardware level, including:
a memory to store instructions;
and the processor is used for reading the instruction stored in the memory and executing the incompatibility early warning prompting method in the embodiment 1 according to the instruction.
Optionally, the computer device further comprises an internal bus and a communication interface. The processor, the memory, and the communication interface may be connected to each other via an internal bus, which may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc.
The Memory may include, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Flash Memory (Flash Memory), a First In First Out (FIFO), a First In Last Out (FILO), and/or the like. The Processor may be a general-purpose Processor including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components.
Example 4:
the present embodiment provides a computer-readable storage medium, which stores instructions that, when executed on a computer, cause the computer to execute the incompatibility warning prompting method described in embodiment 1. The computer-readable storage medium refers to a carrier storing data, and may include, but is not limited to, floppy disks, optical disks, hard disks, flash memories, flash disks, Memory sticks (Memory sticks), and the like, and the computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices.
Example 5:
the present embodiment provides a computer program product comprising instructions, which when executed on a computer, cause the computer to execute the incompatibility warning prompting method described in embodiment 1. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable devices.
Finally, it should be noted that: the above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A incompatibility early warning prompting method is characterized by comprising the following steps:
acquiring a medicine purchase order from a client;
extracting each first medicine information from the medicine purchasing order;
searching first component medicinal materials corresponding to the first medicine information from a medicine information base according to the first medicine information, and constructing first medicinal material names corresponding to the first component medicinal materials;
performing eighteen-anti-correlation retrieval on the first medicinal material names according to a preset eighteen-anti-query library, and judging whether eighteen-anti-correlation exists among the first medicinal material names;
performing nineteen-daub association retrieval on each first medicine name according to a preset nineteen-daub query library, and judging whether a nineteen-daub relationship exists between the first medicine names;
when judging that eighteen antagonisms and/or nineteen incompatibilities exist among the first medicinal material names, generating corresponding first medicinal early warning prompt information;
and sending the first medicine early warning prompt information to the client.
2. The incompatibility early warning prompting method according to claim 1, further comprising:
acquiring a historical medicine purchasing order of a corresponding client;
extracting information of each second medicine from the historical medicine purchasing orders;
searching second component medicinal materials corresponding to the second medicine information from the medicine information base according to the second medicine information, and constructing second medicinal material names corresponding to the second component medicinal materials;
performing eighteen-anti-correlation retrieval on the first medicinal material names and the second medicinal material names according to a preset eighteen-anti-query library, and judging whether eighteen-anti-correlation exists between the first medicinal material names and the second medicinal material names;
performing nineteen-daub association retrieval on each first medicine name and each second medicine name according to a preset nineteen-daub query library, and judging whether a nineteen-daub relationship exists between each first medicine name and each second medicine name;
when judging that eighteen-antagonism relation and/or nineteen-intolerance relation exist between each first medicine name and each second medicine name, generating corresponding second medicine early warning prompt information;
and sending the second medicine early warning prompt information to the client.
3. The incompatibility early warning method according to claim 1, wherein the first drug information comprises a drug name and a drug number, and the first component drug corresponding to each first drug information is obtained by retrieving from a drug information base according to each first drug information, comprising:
retrieving the drug items of the corresponding drugs from the drug information base according to the drug names and the product numbers;
extracting the component medicinal materials of the medicine from the medicine item as first component medicinal materials.
4. The incompatibility early warning prompting method as claimed in claim 1, wherein the eighteen anti-query library comprises an eighteen anti-query table, and the eighteen anti-query table is listed with a corresponding relationship of eighteen anti-drug names.
5. The incompatibility early warning prompting method as claimed in claim 1, wherein the nineteen incompatibilities query library comprises a nineteen incompatibilities query table, and the nineteen incompatibilities query table has corresponding relations of nineteen incompatibilities drug names listed therein.
6. The incompatibility early warning method according to claim 1, wherein the generating of the corresponding first medication early warning information comprises:
extracting a first medicine name with eighteen antagonisms and/or nineteen incompatibilities and corresponding first medicine information;
carrying out association of eighteen antagonisms and/or nineteen incompatibilities on the first medicinal material name with eighteen antagonisms and/or nineteen incompatibilities;
acquiring pharmacological descriptions of eighteen antagonisms and/or nineteen incompatibilities relations among the first medicinal material names after the eighteen antagonisms relations and/or nineteen incompatibilities relations are associated;
and carrying out data packaging on the first medicine name and corresponding pharmacological description after the eighteen-antagonism relation and/or the nineteen-intolerance relation are associated and the affiliated first medicine information to generate first medicine early warning prompt information.
7. A incompatibility early warning prompting device is characterized in that the device comprises:
the acquisition unit is used for acquiring a medicine purchase order from a client;
the extraction unit is used for extracting each piece of first medicine information from the medicine purchase order;
the retrieval unit is used for retrieving and obtaining first component medicinal materials corresponding to the first medicine information from the medicine information base according to the first medicine information and constructing first medicinal material names corresponding to the first component medicinal materials;
the first judgment unit is used for performing eighteen-inverse correlation retrieval on the first medicinal material names according to a preset eighteen-inverse query library and judging whether eighteen-inverse relations exist among the first medicinal material names or not;
the second judgment unit is used for performing nineteen-incompatibilities association retrieval on the first medicine names according to a preset nineteen-incompatibilities query library and judging whether nineteen-incompatibilities exist among the first medicine names or not;
the generating unit is used for generating corresponding first medicine early warning prompt information when judging that eighteen-antagonism relations and/or nineteen-incompatibilities relations exist among the first medicine names;
and the sending unit is used for sending the first medicine early warning prompt information to the client.
8. The incompatibility early warning device as claimed in claim 7, wherein,
the acquisition unit is also used for acquiring a historical medicine purchasing order of the corresponding client;
the extraction unit is further used for extracting each piece of second medicine information from the historical medicine purchasing orders;
the retrieval unit is further used for retrieving second component medicinal materials corresponding to the second medicine information from the medicine information base according to the second medicine information and constructing second medicinal material names corresponding to the second component medicinal materials;
the first judging unit is further used for performing eighteen-anti-correlation retrieval on each first medicinal material name and each second medicinal material name according to a preset eighteen-anti-query library, and judging whether eighteen-anti-correlation exists between each first medicinal material name and each second medicinal material name;
the second determination unit is further configured to perform nineteen-incompatibilities association retrieval on each first drug name and each second drug name according to a preset nineteen-incompatibilities query library, and determine whether a nineteen-incompatibilities relationship exists between each first drug name and each second drug name;
the generating unit is further used for generating corresponding second medicine early warning prompt information when judging that eighteen-antagonism relation and/or nineteen-incompatibilities relation exist between each first medicine name and each second medicine name;
the sending unit is also used for sending the second medicine early warning prompt information to the client.
9. A computer device, comprising:
a memory to store instructions;
a processor for reading the instructions stored in the memory and executing the method of any one of claims 1-6 in accordance with the instructions.
10. A computer-readable storage medium having stored thereon instructions which, when executed on a computer, cause the computer to perform the method of any one of claims 1-6.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114723537A (en) * | 2022-06-01 | 2022-07-08 | 阿里健康科技(杭州)有限公司 | Data object display method, data object processing method and computer equipment |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20070053604A (en) * | 2005-11-21 | 2007-05-25 | 김용우 | Open type drugs information management system and method thereof |
CN103902791A (en) * | 2011-12-20 | 2014-07-02 | 西安福安创意咨询有限责任公司 | Clinic safe and reasonable drug use decision supporting method |
CN104138557A (en) * | 2014-08-26 | 2014-11-12 | 武汉药谷科技开发有限公司 | Chinese herbal medicine compound preparation for preventing and treating senile dementia |
CN106503455A (en) * | 2016-11-01 | 2017-03-15 | 山东众阳软件有限公司 | Doctor's advice intelligent checks system and method based on medicine rule combination |
CN108648792A (en) * | 2018-05-04 | 2018-10-12 | 河北省人民医院 | Medication information management system, method and terminal device |
CN109637612A (en) * | 2018-10-31 | 2019-04-16 | 北京春雨天下软件有限公司 | A kind of medication taboo reminding method, server, terminal, equipment and readable medium |
CN110096635A (en) * | 2019-04-17 | 2019-08-06 | 广东技术师范大学 | A kind of the inquiry visual display method and device of traditional Chinese and western medicine medicine information |
CN111785344A (en) * | 2020-06-04 | 2020-10-16 | 河南中医药大学 | Traditional Chinese medicine prescription medication safety detection method based on professional word vector in traditional Chinese medicine field |
WO2021184729A1 (en) * | 2020-03-17 | 2021-09-23 | 平安科技(深圳)有限公司 | Drug classification method and apparatus, storage medium, and intelligent device |
-
2021
- 2021-10-13 CN CN202111194659.1A patent/CN113889215A/en active Pending
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20070053604A (en) * | 2005-11-21 | 2007-05-25 | 김용우 | Open type drugs information management system and method thereof |
CN103902791A (en) * | 2011-12-20 | 2014-07-02 | 西安福安创意咨询有限责任公司 | Clinic safe and reasonable drug use decision supporting method |
CN104138557A (en) * | 2014-08-26 | 2014-11-12 | 武汉药谷科技开发有限公司 | Chinese herbal medicine compound preparation for preventing and treating senile dementia |
CN106503455A (en) * | 2016-11-01 | 2017-03-15 | 山东众阳软件有限公司 | Doctor's advice intelligent checks system and method based on medicine rule combination |
CN108648792A (en) * | 2018-05-04 | 2018-10-12 | 河北省人民医院 | Medication information management system, method and terminal device |
CN109637612A (en) * | 2018-10-31 | 2019-04-16 | 北京春雨天下软件有限公司 | A kind of medication taboo reminding method, server, terminal, equipment and readable medium |
CN110096635A (en) * | 2019-04-17 | 2019-08-06 | 广东技术师范大学 | A kind of the inquiry visual display method and device of traditional Chinese and western medicine medicine information |
WO2021184729A1 (en) * | 2020-03-17 | 2021-09-23 | 平安科技(深圳)有限公司 | Drug classification method and apparatus, storage medium, and intelligent device |
CN111785344A (en) * | 2020-06-04 | 2020-10-16 | 河南中医药大学 | Traditional Chinese medicine prescription medication safety detection method based on professional word vector in traditional Chinese medicine field |
Non-Patent Citations (3)
Title |
---|
刘志杰: "《经方中药学》", 31 August 2020, 吉林大学出版社, pages: 48 - 51 * |
李惠;: "洛贝林与三磷腺苷二钠存在配伍禁忌", 中华医院感染学杂志, no. 09, 15 September 2008 (2008-09-15) * |
李慧敏;梁彬;王燕青;: "头孢哌酮钠他唑巴坦钠与万古霉素及去甲万古霉素存在配伍禁忌", 护理学报, no. 10, 20 October 2008 (2008-10-20) * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114723537A (en) * | 2022-06-01 | 2022-07-08 | 阿里健康科技(杭州)有限公司 | Data object display method, data object processing method and computer equipment |
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