CN105808931A - Knowledge graph based acupuncture and moxibustion decision support method and apparatus - Google Patents
Knowledge graph based acupuncture and moxibustion decision support method and apparatus Download PDFInfo
- Publication number
- CN105808931A CN105808931A CN201610120318.2A CN201610120318A CN105808931A CN 105808931 A CN105808931 A CN 105808931A CN 201610120318 A CN201610120318 A CN 201610120318A CN 105808931 A CN105808931 A CN 105808931A
- Authority
- CN
- China
- Prior art keywords
- acupuncture
- case history
- mark
- moxibustion
- medical
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- Data Mining & Analysis (AREA)
- Biomedical Technology (AREA)
- Databases & Information Systems (AREA)
- Pathology (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The invention provides a knowledge graph based acupuncture and moxibustion decision support method and apparatus. The method comprises the steps of marking medical information entities of acupuncture and moxibustion points and acupuncture and moxibustion concepts belonging to the medical information entities in a large amount of acupuncture and moxibustion treatment literatures to obtain an acupuncture and moxibustion knowledge graph; and extracting medical information entities involved in medical record information of patients and acupuncture and moxibustion concepts belonging to the medical information entities from a large amount of acupuncture and moxibustion medical records to obtain a medical record marking graph, combining a marking combination of the acupuncture and moxibustion literatures with the consistent acupuncture and moxibustion concepts with a marking combination of the acupuncture and moxibustion medical records to form an acupuncture and moxibustion-medical record knowledge graph, inputting disease characteristics of a target patient, and searching for a diagnostic decision from the acupuncture and moxibustion-medical record knowledge graph. The medical information is pre-marked, so that decisions not conforming to a conventional medical principle can be reduced and an accurate acupuncture and moxibustion decision support can be provided for users; and not only medical records and later treatment situations of patients similar to those of doctor-seeing patients but also a complete acupuncture and moxibustion knowledge network can be provided for physicians, so that the knowledge query demands of the physicians are met.
Description
Technical field
The application relates to medical informatics process field, is specifically related to the acupuncture decision-making of a kind of knowledge based collection of illustrative plates
Support method and device.
Background technology
The heat that medical decision support system and support technology thereof are current academia and various circles of society the most widely pay close attention to
One of point.DSS and the fusion of medical science, industry has been proposed some adaptable products,
Wherein it is most widely used that event monitor (Event Monitor) and the decision-making of application in clinic abroad are propped up
Hold system (MYCIN) etc..
But, outside existing DSS is mostly independent of the workflow of medical personnel, with electronics
Case system belongs to different system, and the repetition typing of information causes waste of time.Meanwhile, due to
The data extraction efficiency of Medical decision support technique is too low, and failing effective help system, need to screen out part bright
Aobvious departing from medical science convention or the decision-making of logic, therefore the structure of DSS platform still has the biggest excellent
Change space.Further, the data mining in terms of Traditional Chinese Medicine the most just causes the attention of academia, and its development is not
Enough perfect, prior art not yet has the decision-making platform in terms of acupuncture.
Summary of the invention
The application provides acupuncture decision support method and the device of a kind of knowledge based collection of illustrative plates, can believe medical science
Breath is demarcated, and provides the user acupuncture decision support accurately.
According to the first aspect of the application, the application provides the acupuncture decision support side of a kind of knowledge based collection of illustrative plates
Method, including: gather multiple acupuncture and moxibustion therapy document and form the first training sample set, mark out each acupuncture and moxibustion therapy
The medical information entity involved by each acupoint that comprises in document and belong to described medical information entity
Acupuncture concept, as described Acupuncture Literature mark combine, first training sample concentrate each Acupuncture Literature
Mark combination composition obtain acupuncture knowledge mapping;Gather acupuncture case history composition the second training sample of multiple patient
This collection, extract from described acupuncture case history the medical information entity involved by the medical record information of each patient and
Belonging to the acupuncture concept of described medical information entity, the mark as described acupuncture case history combines, the second training
In sample set, the mark combination composition of each acupuncture case history obtains case history mark figure;By described acupuncture knowledge mapping
Described acupuncture concept mate respectively, by acupuncture concept with the described acupuncture concept of described case history mark figure
The mark combination of consistent described Acupuncture Literature is combined with the mark of described acupuncture case history and is combined, as one
Individual acupuncture-case history subset, by multiple described acupuncture-case history subset record, forms acupuncture-case history knowledge mapping;
Using the genius morbi of target patient as search condition, from described acupuncture-case history knowledge mapping, search diagnosis certainly
Plan.
Optionally, described by multiple described acupuncture-case history subset record, form acupuncture-case history knowledge mapping and include:
By multiple described acupuncture-case history subsets with ontology description language record, form acupuncture-case history knowledge mapping.
Optionally, also include: combine to the mark of described acupuncture case history and add time tag.
Optionally, described using the genius morbi of target patient as search condition, from described acupuncture-case history knowledge
Collection of illustrative plates is searched diagnosis decision-making include: in described acupuncture-case history knowledge mapping, find acupuncture concept and target
The list of the patient that the genius morbi of patient is consistent;According to the consultation time of each patient in described list with secondary
Number, in conjunction with the time tag in described acupuncture case history, presses from high to low the similarity degree of described Patient list
It is ranked up, obtains similar case history sequencing table.
Optionally, also include: the medical science text message that user is inputted as search condition, from described acupuncture-
Case history knowledge mapping is retrieved the specific descriptions information of described medical information entity, and loads described doctor further
Learn information entity in described acupuncture-case history knowledge mapping with the contacting of other medical science entities or patient.
According to the second aspect of the application, the application provides the acupuncture decision support of a kind of knowledge based collection of illustrative plates to fill
Put, including: data in literature processing unit, it is used for gathering multiple acupuncture and moxibustion therapy document and forms the first training sample
Collection, mark out the medical information entity involved by each acupoint that comprises in each acupuncture and moxibustion therapy document with
And belonging to the acupuncture concept of described medical information entity, the mark as described Acupuncture Literature combines, the first instruction
The mark combination composition practicing each Acupuncture Literature in sample set obtains acupuncture knowledge mapping;Medical record data processes single
Unit, forms the second training sample set for gathering the acupuncture case history of multiple patient, carries from described acupuncture case history
Take the medical information entity involved by the medical record information of each patient and belong to the pin of described medical information entity
Moxibustion concept, the mark as described acupuncture case history combines, and the second training sample concentrates the mark of each acupuncture case history
Note combination composition obtains case history mark figure;Data Integration unit, for by described in described acupuncture knowledge mapping
Acupuncture concept is mated, by consistent for acupuncture concept respectively with the described acupuncture concept of described case history mark figure
The mark combination of described Acupuncture Literature is combined with the combination of the mark of described acupuncture case history, as an acupuncture-
Case history subset, by multiple described acupuncture-case history subset record, forms acupuncture-case history knowledge mapping;Retrieval unit,
For using the genius morbi of target patient as search condition, search from described acupuncture-case history knowledge mapping and examine
Disconnected decision-making.
Optionally, described medical record data processing unit is additionally operable to: by multiple described acupuncture-case history subsets with body
Describe language record, form acupuncture-case history knowledge mapping.
Optionally, also include: adding device, for combining interpolation time mark to the mark of described acupuncture case history
Sign.
Optionally, described retrieval unit specifically includes: find module, at described acupuncture-case history knowledge graph
In spectrum, find the list of the acupuncture concept patient consistent with the genius morbi of target patient;Order module, uses
According to the consultation time of each patient in described list and number of times, mark in conjunction with the time in described acupuncture case history
Sign, to the similarity degree of described Patient list by being ranked up from high to low, obtain similar case history sequencing table.
Optionally, also including: knowledge query unit, the medical science text message being used for inputting user is as inspection
Rope condition, retrieves the specific descriptions information of described medical information entity from described acupuncture-case history knowledge mapping,
And load further described medical information entity in described acupuncture-case history knowledge mapping with other medical science entities or
The contact of patient.
The application provides the benefit that: provide acupuncture decision support method and the device of a kind of knowledge based collection of illustrative plates,
For gathering multiple acupuncture and moxibustion therapy document, mark out in each acupuncture and moxibustion therapy document involved by each acupoint
Medical information entity and belong to the acupuncture concept of this medical information entity, obtain acupuncture knowledge mapping, adopt
Collect the acupuncture case history of multiple patient, from acupuncture case history, extract the medical science involved by the medical record information of each patient
Information entity and belong to the acupuncture concept of medical information entity, composition obtains case history mark figure, and acupuncture is general
The mark of the mark combination and acupuncture case history of reading consistent Acupuncture Literature combines and is combined, and forms acupuncture-case history
Knowledge mapping, using the genius morbi of target patient as search condition, searches from acupuncture-case history knowledge mapping
Diagnosis decision-making.Owing to medical information being demarcated, decrease decision-making departing from medical science convention or logic
Occur, acupuncture decision support accurately can be provided the user.On the one hand, can be that doctor provides and medical trouble
Other patient medical record that person is similar, and anaphase situation;On the other hand, can be that doctor provides complete pin
Moxibustion knowledge network, meets the knowledge query demand of doctor, assists to carry out diagnosis and treatment accurately.
Accompanying drawing explanation
Fig. 1 is the flow chart of the acupuncture decision support method of the knowledge based collection of illustrative plates of the embodiment of the present application;
Fig. 2 is the case history mark signal of the acupuncture decision support method of the knowledge based collection of illustrative plates of the embodiment of the present application
Figure;
Fig. 3 is the partial schematic diagram of the acupuncture-case history knowledge mapping of the embodiment of the present application;
Fig. 4 is the acupuncture decision support apparatus structural representation of the knowledge based collection of illustrative plates of the embodiment of the present application;
Fig. 5 is that the another kind of structure of the acupuncture decision support apparatus of the knowledge based collection of illustrative plates of the embodiment of the present application is shown
It is intended to.
Detailed description of the invention
In the embodiment of the present application, it is provided that the acupuncture decision support method of a kind of knowledge based collection of illustrative plates and device,
On the one hand can be that doctor provides other patient medical record similar to the patient that goes to a doctor, and anaphase situation;Separately
On the one hand can be that doctor provides complete acupuncture knowledge network, meet the knowledge query demand of doctor, assist
Carry out diagnosis and treatment accurately.
Combine accompanying drawing below by detailed description of the invention the present invention is described in further detail.
Embodiment one:
As it is shown in figure 1, the embodiment of the present application provides the acupuncture decision support method of a kind of knowledge based collection of illustrative plates,
May comprise steps of:
101, training acupuncture knowledge mapping.
Concrete, step 101 may be used under type and implements: gather multiple acupuncture and moxibustion therapy document composition the first instruction
Practice sample set, mark out the medical information involved by each acupoint comprised in each acupuncture and moxibustion therapy document
Entity and belong to the acupuncture concept of described medical information entity, the mark as Acupuncture Literature combines, and first
Training sample concentrates the mark combination composition of each Acupuncture Literature to obtain acupuncture knowledge mapping.
Generally, so that the decision-making arrived is tried one's best many, to promote the accuracy of decision support, the present embodiment selects
Select substantial amounts of acupuncture and moxibustion therapy document as the first training sample set.To the process of the mark of acupuncture and moxibustion therapy document it is
Carried out by computer.Owing to acupuncture concept belongs to medical nomenclature, in order to find out in acupuncture and moxibustion therapy document
All of acupuncture concept, specifically may is that and first determines a medical nomenclature corpus, medical nomenclature language material
Storehouse is made by the medical nomenclature corpus of the Medicine standard foundation that authoritative institution issues, such as, can be Chinese medicine
" the Chinese medicine and pharmacy noun " that formal name used at school word validation board issues.Then, the word that will comprise in acupuncture and moxibustion therapy document
Language mates with the medical science word in medical nomenclature corpus, marks out all of pin in acupuncture and moxibustion therapy document
Moxibustion concept, namely mark out all acupuncture concepts that the first training sample is concentrated.
Here, medical information entity refers to total overview noun of medical concept, and table 1 show an acupuncture
Treatment document, acupuncture and moxibustion therapy document can obtain from the data bases such as medical literature, science of acupuncture and moxibustion works and periodical
Take.Concrete as shown in table 1, medical information entity may is that " source ", " function ", " curing mainly ", " join
Cave " and " operation " etc..The acupuncture concept belonging to medical information entity is then the subordinate concept of medical information entity
Title.Such as, in table 1, " the very evil opinion of Plain Questions clutch " and " Ling Shu Miraculous Pivot or Divine Axis back of the body acupoint " belong to medical information
The acupuncture concept of entity " source ".
When mark, according to the contacting, in acupuncture and moxibustion therapy document in the way of tlv triple of acupoint
Medical information entity and belong to this medical information entity acupuncture concept correspondence mark and record, such as:
<source, Zhongfu, " Plain Questions ">,<curing mainly, Zhongfu, cough>,<curing mainly, Zhongfu, asthma>etc..
It is understood that an acupoint can mark out many group mark combinations, each acupuncture and moxibustion therapy
In document, record and the explanation at multiple acupuncture point may be included, therefore, permissible in an acupuncture and moxibustion therapy document
Multiple multiple marks marking out multiple acupoint corresponding combine.The embodiment of the present application uses substantial amounts of acupuncture
Treatment document is also labeled, and is possible not only to demarcate medical information, reduce departing from medical science convention or
The appearance of the decision-making of logic, it is also possible to include as far as possible many acupuncture point, medical science entity and acupuncture concepts, promotes
The accuracy of the generation of follow-up decision support.
Table 1
102, case history mark figure is obtained.
Concrete, step 102 may be used under type and implements: gather the acupuncture case history composition second of multiple patient
Training sample set, extract from acupuncture case history medical information entity involved by the medical record information of each patient with
And belonging to the acupuncture concept of described medical information entity, the mark as described acupuncture case history combines, the second instruction
The mark combination composition practicing each acupuncture case history in sample set obtains case history mark figure.
Similar with step 101, the present embodiment by computer acquisition, the acupuncture case history that marks a large amount of patient,
Promote the accuracy of acupuncture decision support.
Equally, the present embodiment selects substantial amounts of acupuncture case history as the second training sample set.To acupuncture case history
The process of mark is carried out by computer.Owing to acupuncture concept belongs to medical nomenclature, in order to find out acupuncture
All of acupuncture concept in treatment document, specifically may is that and first determines a medical nomenclature corpus,
Medical nomenclature corpus is made by the medical nomenclature corpus of the Medicine standard foundation that authoritative institution issues, such as
It can be Chinese medicine and pharmacy noun validation board's issue " Chinese medicine and pharmacy noun ".Then, by acupuncture case history
The word comprised mates with the medical science word in medical nomenclature corpus, marks out in acupuncture case history all
Acupuncture concept, namely mark out second training sample concentrate all acupuncture concepts.
The medical information entity of the present embodiment step refer to " consultation time ", " symptom " as shown in table 2,
" acupoint selection " etc., certainly, case history shown in table 2 is only for example, and the medical information entity comprised in case history can include
The noun of example provided above, but it is not limited only to the noun of the example above.
Equally, in acupuncture case history, the alleged acupuncture concept belonging to medical information entity is that medical information is real
The title of the subordinate concept of body.Such as, in table 2, " cough " and " nasal obstruction " belongs to medical information entity " disease
Shape " acupuncture concept, " Zhongfu " belongs to the acupuncture concept of medical information entity " symptom ".
When mark, according to the therapeutic process of each patient, in acupuncture and moxibustion therapy document in the way of tlv triple
Medical information entity and belong to this medical information entity acupuncture concept correspondence mark and record, such as:
<symptom, first, cough>,<symptom, first, cough>,<acupoint selection, first, Zhongfu>etc..
In one preferred embodiment, it is also possible to when mark, can combine to the mark of acupuncture case history and add
Time tag, indicates symptom or the time for the treatment of that patient occurs.As: < 2016.02.15 symptom, first,
Cough>,<2016.02.19 symptom, first, cough>,<2016.02.19 acupoint selection, first, Zhongfu>.
It is understood that the case history of each patient can mark out many group mark combinations.The application implements
Example uses substantial amounts of patient medical record and is labeled, and is possible not only to demarcate medical information, and minimizing does not conforms to
The appearance of the decision-making of medical science convention or logic, it is also possible to include as far as possible many different patients over the course for the treatment of
The acupuncture concept related to when involved medical science entity and treatment, promotes the generation of follow-up decision support
Accuracy.
Table 2
103, figure training acupuncture-case history knowledge mapping is marked according to acupuncture knowledge mapping and case history.
The acupuncture concept of the acupuncture concept of acupuncture knowledge mapping with case history mark figure is mated, respectively by pin
The mark combination of the Acupuncture Literature that moxibustion concept is consistent is combined with the mark of acupuncture case history and is combined, as one
Acupuncture-case history subset, by multiple acupuncture-case history subset record, forms acupuncture-case history knowledge mapping.
Wherein, record time, the present embodiment preferably by multiple described acupuncture-case history subsets with ontology description language
(OWL) record, forms acupuncture-case history knowledge mapping.
Such as, in acupuncture knowledge mapping, having the mark combination of<curing mainly, Zhongfu, cough>, the inside comprises " to be coughed
Cough " this acupuncture concept;In case history mark figure, there is the mark group of<2016.02.15 symptom, first, cough>,
The inside also relates to " cough " this acupuncture concept.Thus the acupuncture concept of the two mark group is consistent, this enforcement
Above-mentioned two mark group is combined by example step, obtains an acupuncture-case history subset, as shown in Figure 2.With equally
Multiple acupuncture-case history subset of obtaining of mode, then form acupuncture-case history knowledge mapping.
104, using the genius morbi of target patient as search condition, search from acupuncture-case history knowledge mapping and examine
Disconnected decision-making.
Based on above-mentioned acupuncture-case history knowledge mapping, on the one hand, can search diagnosis decision-making, on the other hand,
Similar case history can be found.
Assuming there is target patient second, doctor before carrying out treatment or in therapeutic process to patient's second, it is desirable to ginseng
Examine other case history, now can know from acupuncture-case history using the genius morbi of patient's second as search condition
Know and collection of illustrative plates is searched diagnosis decision-making.The case history of patient's second is assumed as shown in table 3.
Table 3
Preferably, the present embodiment step may include that in described acupuncture-case history knowledge mapping, finds acupuncture
The list of the patient that concept is consistent with the genius morbi of target patient;According to each patient in described list just
Examine time and number of times, in conjunction with the time tag in described acupuncture case history, the similarity degree to described Patient list
By being ranked up from high to low, obtain similar case history sequencing table.
In the present embodiment, equally the case history of target patient is decomposed into triplet sets, such as:
<2016.03.21 symptom, second, cough>,<2016.03.25 symptom, second, cough>,<2016.03.21 takes
Cave, second, Zhongfu > etc., then search for similar to above-mentioned triplet sets in acupuncture-case history knowledge mapping
Other patient's entities, obtain similar patients's list.The rule can preset according to some subsequently, as according to disease
The time of journey, physician office visits etc. are high according to similarity degree by the case history of the patient in above-mentioned similar patients's list
Low to being ranked up, ranking results is shown to user.Retrieval result is as shown in table 4, illustrates according to table 3
Case history to be matched, the case history matching result obtained after acupuncture-case history knowledge mapping search, case history is mated
Result contains similar other patient informations of course of disease seasonal effect in time series to target patient second, comprises similar patients
Each consultation time, symptom, the information such as diagnosis and treatment plan.User is by checking case history matching result, permissible
Recognize patient's current course of disease stage in detail and take the consequence of different treatment measure, contributing to target is suffered from
Person diagnoses and formulates the most effective diagnosis and treatment plan accurately.
Table 4
The embodiment of the present application can also include step: 105, medical science text message user inputted is as retrieval
Condition, retrieves the specific descriptions information of described medical information entity from described acupuncture-case history knowledge mapping, and
Load further described medical information entity in described acupuncture-case history knowledge mapping with other medical science entity or trouble
The contact of person.
The application can ask according to the acupuncture knowledge query of user, using medical science text message as initial conditions,
From acupuncture-case history knowledge mapping, inquiry and user search go out relevant medical knowledge and patient medical record.
When user is to the text inputting a certain medical information, from the acupuncture-case history knowledge mapping text to input
Retrieving, if retrieving the entity of above-mentioned medical information, loading this entity the most further in knowledge mapping
With contacting of other medical information entities or patient, and the specific descriptions information of this medical information entity;If
The medical science entity corresponding to above-mentioned text cannot be retrieved, then return failure information to user.
If Fig. 3 input is after " Zhongfu " retrieve, it is possible to obtain " Zhongfu " of feedback and other acupuncture concepts or
Person's medical information entity and the contact of associated patient, including curing mainly symptom, document source, and once accept
Cross the information such as patient for the treatment of.Further, user's inquiry and medical science acupuncture concept " Zhongfu " have the pin of adjunct acupuncture points relation
Moxibustion concept " feishu ", then will return the relevant information of acupuncture concept " feishu ";User inquiry with acupuncture concept " in
Mansion " there is patient's " first " for the treatment of relation, then knowledge query module will return patient's first at acupuncture-case history knowledge graph
Relative recording in spectrum, including history disease and the diagnosis and treatment scheme of patient's first, as shown in Figure 2.
User carries out the inquiry of medical knowledge by the knowledge query module of the application, can be to acupuncture knowledge knowledge network
Network has the understanding of a clear image, contributes to user to the understanding of acupuncture theory and utilization;By suffering from
Person's information inquiry, can obtain the complete documentation of patient history's course of disease, treatment measure, contributes to user and observes
Disease law of development also analyzes diagnosis and treatment scheme works.
The application provides the benefit that: provide the acupuncture decision support method of a kind of knowledge based collection of illustrative plates, gathers
Multiple acupuncture and moxibustion therapy documents, mark out the medical science letter involved by each acupoint in each acupuncture and moxibustion therapy document
Cease entity and belong to the acupuncture concept of this medical information entity, obtaining acupuncture knowledge mapping, gather multiple trouble
The acupuncture case history of person, extracts the medical information entity involved by the medical record information of each patient from acupuncture case history
And belonging to the acupuncture concept of medical information entity, composition obtains case history mark figure, by consistent for acupuncture concept
The mark combination of Acupuncture Literature is combined with the mark of acupuncture case history and is combined, and forms acupuncture-case history knowledge mapping,
Using the genius morbi of target patient as search condition, from acupuncture-case history knowledge mapping, search diagnosis decision-making.
Owing to medical information is demarcated, decrease departing from medical science convention or the appearance of the decision-making of logic, permissible
Provide the user acupuncture decision support accurately.On the one hand, can be that doctor provides its similar to the patient that goes to a doctor
His patient medical record, and anaphase situation;On the other hand, can be that doctor provides complete acupuncture knowledge network,
Meet the knowledge query demand of doctor, assist to carry out diagnosis and treatment accurately.
Embodiment two:
As shown in Figure 4, the embodiment of the present application provides the acupuncture decision support apparatus of a kind of knowledge based collection of illustrative plates,
May include that
Data in literature processing unit 20, is used for gathering multiple acupuncture and moxibustion therapy document and forms the first training sample set,
Mark out the medical information entity involved by each acupoint and genus comprised in each acupuncture and moxibustion therapy document
In the acupuncture concept of described medical information entity, the mark as described Acupuncture Literature combines, the first training sample
The mark combination composition of each Acupuncture Literature of this concentration obtains acupuncture knowledge mapping.
Medical record data processing unit 21, forms the second training sample set for gathering the acupuncture case history of multiple patient,
From described acupuncture case history, extract the medical information entity involved by the medical record information of each patient and belong to institute
Stating the acupuncture concept of medical information entity, the mark as described acupuncture case history combines, the second training sample set
In each acupuncture case history mark combination composition obtain case history mark figure.
Data Integration unit 22, for by the described acupuncture concept of described acupuncture knowledge mapping and described case history mark
The described acupuncture concept of note figure is mated respectively, by the mark group of described Acupuncture Literature consistent for acupuncture concept
Close the combination of the mark with described acupuncture case history to be combined, as an acupuncture-case history subset, by multiple described
Acupuncture-case history subset record, forms acupuncture-case history knowledge mapping.
Retrieval unit 23, is used for the genius morbi of target patient as search condition, from described acupuncture-case history
Knowledge mapping is searched diagnosis decision-making.
See also Fig. 5, it is preferred that medical record data processing unit 21 is additionally operable to: by multiple described acupuncture-
Case history subset, with ontology description language record, forms acupuncture-case history knowledge mapping.
Preferably, also include: adding device 24, for combining the interpolation time to the mark of described acupuncture case history
Label.
Preferably, retrieval unit 23 specifically includes:
Find module 230, in described acupuncture-case history knowledge mapping, find acupuncture concept and suffer from target
The list of the patient that the genius morbi of person is consistent;
Order module 231, for according to the consultation time of each patient in described list and number of times, combine described in
Time tag in acupuncture case history, to the similarity degree of described Patient list by being ranked up from high to low,
To similar case history sequencing table.
Preferably, the acupuncture decision support apparatus of knowledge based collection of illustrative plates also includes:
Knowledge query unit 25, the medical science text message being used for inputting user is as search condition, from described
Acupuncture-case history knowledge mapping is retrieved the specific descriptions information of described medical information entity, and loads institute further
State medical information entity in described acupuncture-case history knowledge mapping with the contacting of other medical science entities or patient.
Above content is to combine specific embodiment further description made for the present invention, it is impossible to recognize
Determine the present invention be embodied as be confined to these explanations.Ordinary skill for the technical field of the invention
For personnel, without departing from the inventive concept of the premise, it is also possible to make some simple deduction or replace.
Claims (10)
1. the acupuncture decision support method of a knowledge based collection of illustrative plates, it is characterised in that including:
Gather multiple acupuncture and moxibustion therapy document and form the first training sample set, mark out in each acupuncture and moxibustion therapy document
The medical information entity involved by each acupoint comprised and the acupuncture belonging to described medical information entity
Concept, the mark as described Acupuncture Literature combines, and the first training sample concentrates the mark of each Acupuncture Literature
Combination composition obtains acupuncture knowledge mapping;
The acupuncture case history gathering multiple patient forms the second training sample set, extracts every from described acupuncture case history
Medical information entity involved by the medical record information of individual patient and to belong to the acupuncture of described medical information entity general
Reading, the mark as described acupuncture case history combines, and the second training sample concentrates the mark group of each acupuncture case history
It is combined into and obtains case history mark figure;
The described acupuncture concept of the described acupuncture concept of described acupuncture knowledge mapping with described case history mark figure is divided
Do not mate, by the mark of the mark combination of described Acupuncture Literature consistent for acupuncture concept with described acupuncture case history
Note combination is combined, as an acupuncture-case history subset, by multiple described acupuncture-case history subset record, shape
Become acupuncture-case history knowledge mapping;
Using the genius morbi of target patient as search condition, search from described acupuncture-case history knowledge mapping and examine
Disconnected decision-making.
2. the acupuncture decision support method of knowledge based collection of illustrative plates as claimed in claim 1, it is characterised in that
Described by multiple described acupuncture-case history subset record, form acupuncture-case history knowledge mapping and include:
By multiple described acupuncture-case history subsets with ontology description language record, form acupuncture-case history knowledge mapping.
3. the acupuncture decision support method of knowledge based collection of illustrative plates as claimed in claim 1 or 2, its feature exists
In, also include: combine to the mark of described acupuncture case history and add time tag.
4. the acupuncture decision support method of knowledge based collection of illustrative plates as claimed in claim 3, it is characterised in that institute
State the genius morbi of target patient as search condition, from described acupuncture-case history knowledge mapping, search diagnosis
Decision-making includes:
In described acupuncture-case history knowledge mapping, find acupuncture concept consistent with the genius morbi of target patient
The list of patient;
According to the consultation time of each patient in described list and number of times, in conjunction with the time in described acupuncture case history
Label, to the similarity degree of described Patient list by being ranked up from high to low, obtains similar case history sequencing table.
5. the acupuncture decision support method of knowledge based collection of illustrative plates as claimed in claim 1 or 2, it is characterised in that
Also include:
Medical science text message user inputted, as search condition, is examined from described acupuncture-case history knowledge mapping
The specific descriptions information of Suo Suoshu medical information entity, and load described medical information entity further described
With the contacting of other medical science entities or patient in acupuncture-case history knowledge mapping.
6. the acupuncture decision support apparatus of a knowledge based collection of illustrative plates, it is characterised in that including:
Data in literature processing unit, is used for gathering multiple acupuncture and moxibustion therapy document and forms the first training sample set, mark
Outpour the medical information entity involved by each acupoint comprised in each acupuncture and moxibustion therapy document and belong to
The acupuncture concept of described medical information entity, the mark as described Acupuncture Literature combines, the first training sample
The mark combination composition concentrating each Acupuncture Literature obtains acupuncture knowledge mapping;
Medical record data processing unit, forms the second training sample set for gathering the acupuncture case history of multiple patient,
From described acupuncture case history, extract the medical information entity involved by the medical record information of each patient and belong to institute
Stating the acupuncture concept of medical information entity, the mark as described acupuncture case history combines, the second training sample set
In each acupuncture case history mark combination composition obtain case history mark figure;
Data Integration unit, for marking the described acupuncture concept of described acupuncture knowledge mapping with described case history
The described acupuncture concept of figure is mated respectively, is combined by the mark of described Acupuncture Literature consistent for acupuncture concept
Combine with the mark of described acupuncture case history and be combined, as an acupuncture-case history subset, by multiple described pins
Moxibustion-case history subset record, forms acupuncture-case history knowledge mapping;
Retrieval unit, is used for the genius morbi of target patient as search condition, knows from described acupuncture-case history
Know and collection of illustrative plates is searched diagnosis decision-making.
7. the acupuncture decision support apparatus of knowledge based collection of illustrative plates as claimed in claim 6, it is characterised in that
Described medical record data processing unit is additionally operable to: by multiple described acupuncture-case history subsets with ontology description language record,
Form acupuncture-case history knowledge mapping.
The acupuncture decision support apparatus of knowledge based collection of illustrative plates the most as claimed in claims 6 or 7, its feature exists
In, also include: adding device, add time tag for combining to the mark of described acupuncture case history.
9. the acupuncture decision support apparatus of knowledge based collection of illustrative plates as claimed in claim 8, it is characterised in that
Described retrieval unit specifically includes:
Find module, in described acupuncture-case history knowledge mapping, find acupuncture concept and target patient
The list of the patient that genius morbi is consistent;
Order module, for according to the consultation time of each patient in described list and number of times, in conjunction with described pin
Time tag in moxibustion case history, to the similarity degree of described Patient list by being ranked up from high to low, obtains
Similar case history sequencing table.
10. the acupuncture decision support apparatus of knowledge based collection of illustrative plates as claimed in claim 9, it is characterised in that
Also include:
Knowledge query unit, the medical science text message being used for inputting user is as search condition, from described pin
Moxibustion-case history knowledge mapping is retrieved the specific descriptions information of described medical information entity, and loads described further
Medical information entity in described acupuncture-case history knowledge mapping with the contacting of other medical science entities or patient.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610120318.2A CN105808931B (en) | 2016-03-03 | 2016-03-03 | A kind of the acupuncture decision support method and device of knowledge based map |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610120318.2A CN105808931B (en) | 2016-03-03 | 2016-03-03 | A kind of the acupuncture decision support method and device of knowledge based map |
Publications (2)
Publication Number | Publication Date |
---|---|
CN105808931A true CN105808931A (en) | 2016-07-27 |
CN105808931B CN105808931B (en) | 2019-05-07 |
Family
ID=56466612
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610120318.2A Expired - Fee Related CN105808931B (en) | 2016-03-03 | 2016-03-03 | A kind of the acupuncture decision support method and device of knowledge based map |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN105808931B (en) |
Cited By (20)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106295186A (en) * | 2016-08-11 | 2017-01-04 | 中国科学院计算技术研究所 | A kind of method and system of aided disease diagnosis based on intelligent inference |
CN107657063A (en) * | 2017-10-30 | 2018-02-02 | 合肥工业大学 | The construction method and device of medical knowledge collection of illustrative plates |
CN107845424A (en) * | 2017-11-15 | 2018-03-27 | 海南大学 | The method and system of diagnostic message Treatment Analysis |
CN107887036A (en) * | 2017-11-09 | 2018-04-06 | 北京纽伦智能科技有限公司 | Construction method, device and the clinical decision accessory system of clinical decision accessory system |
CN108304531A (en) * | 2018-01-26 | 2018-07-20 | 北京泰尔英福网络科技有限责任公司 | A kind of method for visualizing and device of Digital Object Identifier adduction relationship |
CN108764280A (en) * | 2018-04-17 | 2018-11-06 | 中国科学院计算技术研究所 | A kind of medical data processing method and system based on symptom vector |
CN109408644A (en) * | 2018-09-03 | 2019-03-01 | 平安医疗健康管理股份有限公司 | Knowledge base update method, apparatus, computer equipment and storage medium |
CN109524072A (en) * | 2018-05-28 | 2019-03-26 | 平安医疗健康管理股份有限公司 | Electronic health record generation method, device, computer equipment and storage medium |
CN110459320A (en) * | 2019-08-20 | 2019-11-15 | 山东众阳健康科技集团有限公司 | A kind of assisting in diagnosis and treatment system of knowledge based map |
CN111739595A (en) * | 2020-07-24 | 2020-10-02 | 湖南创星科技股份有限公司 | Medical big data sharing analysis method and device |
CN111984805A (en) * | 2020-07-06 | 2020-11-24 | 北京欧应信息技术有限公司 | Method for establishing orthopedics cloud image database based on orthopedics knowledge graph |
US10929440B2 (en) | 2017-05-10 | 2021-02-23 | Boe Technology Group Co., Ltd. | Traditional Chinese medicine knowledge graph and establishment method therefor, and computer system |
US10956487B2 (en) | 2018-12-26 | 2021-03-23 | Industrial Technology Research Institute | Method for establishing and processing cross-language information and cross-language information system |
CN113539409A (en) * | 2021-07-28 | 2021-10-22 | 平安科技(深圳)有限公司 | Treatment scheme recommendation method, device, equipment and storage medium |
CN114610950A (en) * | 2020-12-04 | 2022-06-10 | 中山大学 | Graph network node representation method |
CN115083603A (en) * | 2022-08-23 | 2022-09-20 | 山东新蓝海科技股份有限公司 | Medical decision making system supported by basic clinical data |
CN115553727A (en) * | 2022-09-29 | 2023-01-03 | 北京鹰之眼智能健康科技有限公司 | Knowledge graph display method based on human body infrared image |
CN116564541A (en) * | 2023-07-11 | 2023-08-08 | 深圳市朴硕健康文化科技有限公司 | Big data-based moxibustion application scheme prediction method and device, electronic equipment and medium |
CN116612892A (en) * | 2023-07-17 | 2023-08-18 | 天津市疾病预防控制中心 | Health monitoring method and system of wearable device |
CN116779137A (en) * | 2023-04-27 | 2023-09-19 | 南京中医药大学 | Data processing method and system based on medical knowledge graph |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104035917A (en) * | 2014-06-10 | 2014-09-10 | 复旦大学 | Knowledge graph management method and system based on semantic space mapping |
CN104462506A (en) * | 2014-12-19 | 2015-03-25 | 北京奇虎科技有限公司 | Method and device for establishing knowledge graph based on user annotation information |
US20150193818A1 (en) * | 2014-01-09 | 2015-07-09 | DataOceans, LLC | Targeted Content Marketing Platform |
CN104866593A (en) * | 2015-05-29 | 2015-08-26 | 中国电子科技集团公司第二十八研究所 | Database searching method based on knowledge graph |
CN105335519A (en) * | 2015-11-18 | 2016-02-17 | 百度在线网络技术(北京)有限公司 | Model generation method and device as well as recommendation method and device |
-
2016
- 2016-03-03 CN CN201610120318.2A patent/CN105808931B/en not_active Expired - Fee Related
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20150193818A1 (en) * | 2014-01-09 | 2015-07-09 | DataOceans, LLC | Targeted Content Marketing Platform |
CN104035917A (en) * | 2014-06-10 | 2014-09-10 | 复旦大学 | Knowledge graph management method and system based on semantic space mapping |
CN104462506A (en) * | 2014-12-19 | 2015-03-25 | 北京奇虎科技有限公司 | Method and device for establishing knowledge graph based on user annotation information |
CN104866593A (en) * | 2015-05-29 | 2015-08-26 | 中国电子科技集团公司第二十八研究所 | Database searching method based on knowledge graph |
CN105335519A (en) * | 2015-11-18 | 2016-02-17 | 百度在线网络技术(北京)有限公司 | Model generation method and device as well as recommendation method and device |
Non-Patent Citations (5)
Title |
---|
SHEN YING等: "Emerging medical informatics with case-based reasoning for aiding clinical decision in multi-agent system", 《JOURNAL OF BIOMEDICAL INFORMATICS》 * |
于彤等: "大型中医药知识图谱构建研究", 《中国数字医学》 * |
刘波: "辨证使用中成药辅助决策模型构建方法的探索研究", 《万方在线公开HTTP://D.WANFANGDATA.COM.CN/THESIS/Y2400157》 * |
贾李蓉等: "中医药知识图谱构建", 《医学信息学杂志》 * |
钟峰等: "基于网络平台的个性化针灸装置研发及其网络平台的构建", 《针灸推拿》 * |
Cited By (28)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106295186B (en) * | 2016-08-11 | 2019-03-15 | 中国科学院计算技术研究所 | A kind of system of the aided disease diagnosis based on intelligent inference |
CN106295186A (en) * | 2016-08-11 | 2017-01-04 | 中国科学院计算技术研究所 | A kind of method and system of aided disease diagnosis based on intelligent inference |
US10929440B2 (en) | 2017-05-10 | 2021-02-23 | Boe Technology Group Co., Ltd. | Traditional Chinese medicine knowledge graph and establishment method therefor, and computer system |
CN107657063A (en) * | 2017-10-30 | 2018-02-02 | 合肥工业大学 | The construction method and device of medical knowledge collection of illustrative plates |
CN107887036A (en) * | 2017-11-09 | 2018-04-06 | 北京纽伦智能科技有限公司 | Construction method, device and the clinical decision accessory system of clinical decision accessory system |
CN107845424A (en) * | 2017-11-15 | 2018-03-27 | 海南大学 | The method and system of diagnostic message Treatment Analysis |
CN107845424B (en) * | 2017-11-15 | 2021-11-16 | 海南大学 | Method and system for diagnostic information processing analysis |
CN108304531A (en) * | 2018-01-26 | 2018-07-20 | 北京泰尔英福网络科技有限责任公司 | A kind of method for visualizing and device of Digital Object Identifier adduction relationship |
CN108764280A (en) * | 2018-04-17 | 2018-11-06 | 中国科学院计算技术研究所 | A kind of medical data processing method and system based on symptom vector |
CN109524072A (en) * | 2018-05-28 | 2019-03-26 | 平安医疗健康管理股份有限公司 | Electronic health record generation method, device, computer equipment and storage medium |
CN109408644A (en) * | 2018-09-03 | 2019-03-01 | 平安医疗健康管理股份有限公司 | Knowledge base update method, apparatus, computer equipment and storage medium |
US10956487B2 (en) | 2018-12-26 | 2021-03-23 | Industrial Technology Research Institute | Method for establishing and processing cross-language information and cross-language information system |
CN110459320B (en) * | 2019-08-20 | 2021-01-05 | 山东众阳健康科技集团有限公司 | Knowledge graph-based auxiliary diagnosis and treatment system |
CN110459320A (en) * | 2019-08-20 | 2019-11-15 | 山东众阳健康科技集团有限公司 | A kind of assisting in diagnosis and treatment system of knowledge based map |
CN111984805A (en) * | 2020-07-06 | 2020-11-24 | 北京欧应信息技术有限公司 | Method for establishing orthopedics cloud image database based on orthopedics knowledge graph |
CN111739595A (en) * | 2020-07-24 | 2020-10-02 | 湖南创星科技股份有限公司 | Medical big data sharing analysis method and device |
CN114610950A (en) * | 2020-12-04 | 2022-06-10 | 中山大学 | Graph network node representation method |
CN114610950B (en) * | 2020-12-04 | 2023-11-07 | 中山大学 | Graph network node representation method |
CN113539409A (en) * | 2021-07-28 | 2021-10-22 | 平安科技(深圳)有限公司 | Treatment scheme recommendation method, device, equipment and storage medium |
CN113539409B (en) * | 2021-07-28 | 2024-04-26 | 平安科技(深圳)有限公司 | Treatment scheme recommendation method, device, equipment and storage medium |
CN115083603A (en) * | 2022-08-23 | 2022-09-20 | 山东新蓝海科技股份有限公司 | Medical decision making system supported by basic clinical data |
CN115553727B (en) * | 2022-09-29 | 2023-10-27 | 北京鹰之眼智能健康科技有限公司 | Knowledge graph display method based on human body infrared image |
CN115553727A (en) * | 2022-09-29 | 2023-01-03 | 北京鹰之眼智能健康科技有限公司 | Knowledge graph display method based on human body infrared image |
CN116779137A (en) * | 2023-04-27 | 2023-09-19 | 南京中医药大学 | Data processing method and system based on medical knowledge graph |
CN116564541A (en) * | 2023-07-11 | 2023-08-08 | 深圳市朴硕健康文化科技有限公司 | Big data-based moxibustion application scheme prediction method and device, electronic equipment and medium |
CN116564541B (en) * | 2023-07-11 | 2024-02-09 | 深圳市朴硕健康文化科技有限公司 | Big data-based moxibustion application scheme prediction method and device, electronic equipment and medium |
CN116612892B (en) * | 2023-07-17 | 2023-09-26 | 天津市疾病预防控制中心 | Health monitoring method and system of wearable device |
CN116612892A (en) * | 2023-07-17 | 2023-08-18 | 天津市疾病预防控制中心 | Health monitoring method and system of wearable device |
Also Published As
Publication number | Publication date |
---|---|
CN105808931B (en) | 2019-05-07 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN105808931A (en) | Knowledge graph based acupuncture and moxibustion decision support method and apparatus | |
Suominen et al. | Overview of the CLEF eHealth evaluation lab 2018 | |
Gallacher et al. | Qualitative systematic reviews of treatment burden in stroke, heart failure and diabetes-methodological challenges and solutions | |
Garvin et al. | Automated extraction of ejection fraction for quality measurement using regular expressions in Unstructured Information Management Architecture (UIMA) for heart failure | |
US9153142B2 (en) | User interface for an evidence-based, hypothesis-generating decision support system | |
Stover et al. | Integrating patient-reported outcome measures into routine cancer care: cancer patients’ and clinicians’ perceptions of acceptability and value | |
WO2020243732A1 (en) | Systems and methods of clinical trial evaluation | |
Dorr et al. | Identifying patients with significant problems related to social determinants of health with natural language processing | |
Steinkamp et al. | Task definition, annotated dataset, and supervised natural language processing models for symptom extraction from unstructured clinical notes | |
Warner et al. | Natural language processing and the oncologic history: is there a match? | |
Wang et al. | An answer recommendation algorithm for medical community question answering systems | |
Pistolis et al. | Investigation of the impact of extracting and exchanging health information by using internet and social networks | |
Collett et al. | Palliative care advanced practice nursing in Israel: bridging creation and implementation | |
Chen et al. | Knowledge abstraction matching for medical question answering | |
Deshpande et al. | An integrated database and smart search tool for medical knowledge extraction from radiology teaching files | |
Ting et al. | Web information retrieval for health professionals | |
Aggarwal et al. | HEDEA: a Python tool for extracting and analysing semi-structured information from medical records | |
Denny et al. | Tracking medical students’ clinical experiences using natural language processing | |
Silachan et al. | Domain ontology health informatics service from text medical data classification | |
CN109840275B (en) | Method, device and equipment for processing medical search statement | |
Saimbert et al. | Search Resources and Teechniques to Maximize Search Efforts | |
Shmueli-Blumberg et al. | The national drug abuse treatment clinical trials network data share project: website design, usage, challenges, and future directions | |
Vimal | Literature Search | |
Chen et al. | Are Different Versions of ChatGPT’s Ability Comparable to the Clinical Diagnosis Presented in Case Reports? A Descriptive Study | |
Beach et al. | Validation and psychometric properties of the Word Choice Test-10 as an abbreviated performance validity test |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
CF01 | Termination of patent right due to non-payment of annual fee | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20190507 Termination date: 20200303 |