CN109616212A - Disease data processing method, device, electronic equipment and readable medium - Google Patents
Disease data processing method, device, electronic equipment and readable medium Download PDFInfo
- Publication number
- CN109616212A CN109616212A CN201811334410.4A CN201811334410A CN109616212A CN 109616212 A CN109616212 A CN 109616212A CN 201811334410 A CN201811334410 A CN 201811334410A CN 109616212 A CN109616212 A CN 109616212A
- Authority
- CN
- China
- Prior art keywords
- event
- disease data
- field
- mapping relations
- time
- 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.)
- Pending
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
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
-
- 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)
- Epidemiology (AREA)
- Data Mining & Analysis (AREA)
- Primary Health Care (AREA)
- General Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- Pathology (AREA)
- Databases & Information Systems (AREA)
- Medical Treatment And Welfare Office Work (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
This disclosure relates to disease data processing method, device, electronic equipment and readable medium.This method comprises: obtaining the disease data model with hierarchical relationship；The mapping relations between event condition and event time are established according to the field in the disease data model；Event searching is carried out according to the mapping relations.This disclosure relates to disease data processing method, device, electronic equipment and readable medium above, the mapping relations of event condition and event time can be established according to the field in the disease data model with hierarchical relationship, so as to carry out event searching according to the mapping relations, the mapping between event field and event time field is flexibly realized based on disease data model, is made the abundant lightweight of the calculating process of event searching, is saved hardware resource and development cost.
Description
Technical field
This disclosure relates to cloud storage technical field, in particular to a kind of disease data processing method, device, electronics
Equipment and readable medium.
Background technique
Currently, applying for big data is used widely in various industries and field, is carried out using medical big data
During scientific research, the screening to clinical samples is an important ring.
In clinical samples screening process, needing to carry out event searching, so-called event searching refers within a certain period of time,
Filter out the patient for meeting certain conditions.Based on fixed base point time T0, expands baseline time on the basis of T0, utilize database
Calculate the patient for the condition that meets.The realization of event searching depends on event Definition Model, therefore under different event Definition Models,
The implementation of event searching is very different.Since patient data model does not have hierarchical structure, data model in above scheme
Business function cannot be supported to realize well, specific disadvantage is as follows:
(1) the T0 time cannot flexibly define.
Observation index generally requires to be limited in some baseline time section, and the definition of baseline time section is based on certain
The time of origin of medical events expands baseline time out as T0.Event searching model is generally direct in related embodiment
Allow user assigned base point time T0, at fixed basic point time T0, expand baseline time, and then retrieve the trouble of the condition of satisfaction
Person is not able to satisfy the flexible definition to basic point time T0.
(2) patient's index does not have hierarchical structure in patient data model and event Definition Model, is unfavorable for data organization, deposits
Storage and retrieval.
Patient data model generally uses non-tree in related embodiment, and compared to tree storage structure, it has more
Data redundancy accounts for biggish memory space, is unfavorable for the retrieval and calculating of data.
(3) computationally intensive, it is high to CPU and request memory, it is long to calculate the time.
It needs to pass data in application program in related embodiment and does full dose calculating, it is computationally intensive, it is hard to computer
Part requires height, and it is long to calculate the time.
Therefore, it is necessary to a kind of new disease data processing method, device, electronic equipment and computer-readable mediums.
Above- mentioned information are only used for reinforcing the understanding to the background of the disclosure, therefore it disclosed in the background technology part
It may include the information not constituted to the prior art known to persons of ordinary skill in the art.
Summary of the invention
In view of this, the disclosure provides a kind of disease data processing method, device, electronic equipment and computer-readable Jie
Matter, the problem of being able to solve fact retrieval and calculating speed slow low efficiency.
Other characteristics and advantages of the disclosure will be apparent from by the following detailed description, or partially by the disclosure
Practice and acquistion.
According to the one side of the disclosure, a kind of disease data processing method is proposed, this method comprises: obtaining, there is level to close
The disease data model of system；The mapping between event condition and event time is established according to the field in the disease data model
Relationship；Event searching is carried out according to the mapping relations.
In a kind of exemplary embodiment of the disclosure, the disease data model is three layers of tree, wherein first
Layer includes patient basis, and the second layer includes classification information, and third layer includes patient data field.
In a kind of exemplary embodiment of the disclosure, the patient data field in the disease data model includes event
Field and corresponding event time field.
In a kind of exemplary embodiment of the disclosure, event condition is established according to the field in the disease data model
Mapping relations between event time include: to use to preset, be arranged immediately and preset and be arranged immediately mutually to tie
Any mode in conjunction；Wherein the pre-set mode is to preset the event field and the event time word
Mapping relations between section；Immediately the mode being arranged specifies the event word according to the current order of user when being operation
Mapping relations between section and the event time field.
In a kind of exemplary embodiment of the disclosure, the data in the disease data model are with the storage of JSON format.
In a kind of exemplary embodiment of the disclosure, carrying out event searching according to the mapping relations includes:
The basic point time is calculated according to the mapping relations between event condition and event time；
Expanded according to the basic point time according to extended parameter, obtains the filter condition for the event condition；
Event searching is carried out using the filter condition, finds the disease data for meeting the filter condition.
In a kind of exemplary embodiment of the disclosure, event searching is carried out according to the mapping relations further include:
The field attribute of the extended parameter is set, wherein the field attribute include: event before, after event and
The number that event occurs.
According to the one side of the disclosure, a kind of disease data processing unit is proposed, which includes: data acquisition module,
For obtaining the disease data model with hierarchical relationship；Mapping block, for according to the field in the disease data model
Establish the mapping relations between event condition and event time；Module is constructed, is searched for carrying out event according to the mapping relations
Rope.
According to the one side of the disclosure, a kind of electronic equipment is proposed, which includes: one or more processors；
Storage device, for storing one or more programs；When one or more programs are executed by one or more processors, so that one
A or multiple processors realize such as methodology above.
According to the one side of the disclosure, it proposes a kind of computer-readable medium, is stored thereon with computer program, the program
Method as mentioned in the above is realized when being executed by processor.
According to disease data processing method, device, electronic equipment and the computer-readable medium of the disclosure, this method can be with
The mapping relations of event condition and event time are established, according to the field in the disease data model with hierarchical relationship so as to energy
It is enough to carry out event searching according to the mapping relations, based on disease data model flexibly realize event field and event time field it
Between mapping, make the abundant lightweight of the calculating process of event searching, save hardware resource and development cost.
It should be understood that the above general description and the following detailed description are merely exemplary, this can not be limited
It is open.
Detailed description of the invention
Its example embodiment is described in detail by referring to accompanying drawing, above and other target, feature and the advantage of the disclosure will
It becomes more fully apparent.Drawings discussed below is only some embodiments of the present disclosure, for the ordinary skill of this field
For personnel, without creative efforts, it is also possible to obtain other drawings based on these drawings.
Fig. 1 is the system block diagram shown according to an exemplary embodiment for realizing disease data processing.
Fig. 2 is a kind of flow chart of disease data processing method shown according to an exemplary embodiment.
Fig. 3 is that a kind of reference interface for realizing disease data processing method is shown according to an exemplary embodiment.
Fig. 4 is a kind of block diagram of disease data processing unit shown according to an exemplary embodiment.
Fig. 5 is the block diagram of a kind of electronic equipment shown according to an exemplary embodiment.
Fig. 6 is that a kind of computer readable storage medium schematic diagram is shown according to an exemplary embodiment.
Specific embodiment
Example embodiment is described more fully with reference to the drawings.However, example embodiment can be real in a variety of forms
It applies, and is not understood as limited to embodiment set forth herein；On the contrary, thesing embodiments are provided so that the disclosure will be comprehensively and complete
It is whole, and the design of example embodiment is comprehensively communicated to those skilled in the art.Identical appended drawing reference indicates in figure
Same or similar part, thus repetition thereof will be omitted.
In addition, described feature, structure or characteristic can be incorporated in one or more implementations in any suitable manner
In example.In the following description, many details are provided to provide and fully understand to embodiment of the disclosure.However,
It will be appreciated by persons skilled in the art that can with technical solution of the disclosure without one or more in specific detail,
Or it can be using other methods, constituent element, device, step etc..In other cases, it is not shown in detail or describes known side
Method, device, realization or operation are to avoid fuzzy all aspects of this disclosure.
Block diagram shown in the drawings is only functional entity, not necessarily must be corresponding with physically separate entity.
I.e., it is possible to realize these functional entitys using software form, or realized in one or more hardware modules or integrated circuit
These functional entitys, or these functional entitys are realized in heterogeneous networks and/or processor device and/or microcontroller device.
Flow chart shown in the drawings is merely illustrative, it is not necessary to including all content and operation/step,
It is not required to execute by described sequence.For example, some operation/steps can also decompose, and some operation/steps can close
And or part merge, therefore the sequence actually executed is possible to change according to the actual situation.
It should be understood that although herein various assemblies may be described using term first, second, third, etc., these groups
Part should not be limited by these terms.These terms are to distinguish a component and another component.Therefore, first group be discussed herein below
Part can be described as the second component without departing from the teaching of disclosure concept.As used herein, term " and/or " include associated
All combinations for listing any of project and one or more.
It will be understood by those skilled in the art that attached drawing is the schematic diagram of example embodiment, module or process in attached drawing
Necessary to not necessarily implementing the disclosure, therefore it cannot be used for the protection scope of the limitation disclosure.
To overcome disadvantages mentioned above present in related embodiment, a kind of disease data is provided in disclosure exemplary embodiment
Processing method, Fig. 1 are the system block diagrams shown according to an exemplary embodiment for realizing disease data processing.
As shown in Figure 1, system architecture 100 may include terminal device 101,102,103, network 104 and server 105.
Network 104 between terminal device 101,102,103 and server 105 to provide the medium of communication link.Network 104 can be with
Including various connection types, such as wired, wireless communication link or fiber optic cables etc..
User can be used terminal device 101,102,103 and be interacted by network 104 with server 105, to receive or send out
Send message etc..Various telecommunication customer end applications can be installed, such as web browser is answered on terminal device 101,102,103
With, searching class application, instant messaging tools etc..
Terminal device 101,102,103 can be the various electronic equipments with display screen and supported web page browsing, packet
Include but be not limited to smart phone, tablet computer, pocket computer on knee and desktop computer etc..
Server 105 can be to provide the server of various services, such as utilize terminal device 101,102,103 to user
The illness events model request of establishing submitted provides the back-stage management server supported.Back-stage management server can be to reception
To illness events model request etc. of establishing carry out the processing such as analyzing, and processing result is fed back into terminal device.
Server 105 can for example obtain the pending data that user utilizes terminal device 101,102,103 to transmit；Server
105 can for example be handled the pending data.
Server 105 can be the server of an entity, also may be, for example, multiple server compositions, needs to illustrate
It is that disease data processing method provided by the embodiment of the present disclosure can be executed by server 105, correspondingly, at disease data
Reason device can be set in server 105.
Fig. 2 is a kind of flow chart of disease data processing method shown according to an exemplary embodiment.At disease data
Reason method 20 includes at least step S202 to S206, and this method can carry out event searching based on disease data model.
As shown in Fig. 2, obtaining the disease data model with hierarchical relationship in step S202.
As shown in Fig. 2, establishing event condition and event according to the field in the disease data model in step S204
Mapping relations between time.
As shown in Fig. 2, carrying out event searching according to the mapping relations in step S206.
It describes in detail, has to the disease data processing method that the disclosure provides below in conjunction with flow chart shown in Fig. 2
Body is as follows:
In step S202, the disease data model with hierarchical relationship is obtained.
In a kind of exemplary embodiment of the disclosure, the disease data model has hierarchical relationship, such as can be
Three layers of tree, wherein first layer includes patient basis, and the second layer includes classification information, and third layer includes patient data
Field.
For example, three layers of tree are used to store all data of a patient, the root of first layer i.e. tree
Fixed storage patient basis, such as name, gender, admission number, age of node etc..The second layer is classification information, such as is entered
Institute's diagnosis, discharge diagnosis, inspection, past medical history etc. segment classification.Third layer is leaf node, for storing patient data field,
Just as the gauge outfit of a table, each field can have the leaf section under corresponding value, such as the second node layer " past medical history "
Point (i.e. third node layer) include: past illness, whether hypertension, whether infect medical history etc..Certainly, only suffered from here with one
It include many trouble stored in this way with three layers of tree in tangible disease data model for the data storage of person
Person's data.
In a kind of exemplary embodiment of the disclosure, the patient data field in the disease data model includes event
Field and corresponding event time field.
Patient data field is stored in the third layer of disease data model, includes event field and non-event in these fields
Two class of field.
General field is all having time attribute and often more than one time attribute, such field are referred to as event
Field, such as diagnosis have Diagnostic Time, and inspection has review time and inspection result time etc., therefore diagnosis and inspection belong to
Event field.Time attribute is also a leaf node, understands event field corresponding with its under the same secondary classification, if
There are multiple time fields under certain field is at the same level, then artificially a time field can be specified as the event by way of configuring
Corresponding time field, i.e. event time field.Another kind of is non-event field, and non-event field is no time attribute, example
Whether the gender of such as patient nationality, smokes.Event field is related generally to and used in the present embodiment.
In a kind of exemplary embodiment of the disclosure, the data in the disease data model are with the storage of JSON format.
JSON format is succinct, the compressible saving bandwidth of transmission process, and mainstream speech such as Python, Javascript, C etc. mainstreams language
Speech is all supported, so that the use scope of the model is wider, is transmitted more convenient.
In step S204, established between event condition and event time according to the field in the disease data model
Mapping relations.
In a kind of exemplary embodiment of the disclosure, event condition is established according to the field in the disease data model
Mapping relations between event time include:
Using preset, be arranged immediately and preset with immediately setting combine in any mode；
Wherein the pre-set mode is to preset between the event field and the event time field
Mapping relations；Immediately the mode being arranged be operation when specified according to the current order of user the event field with it is described
Mapping relations between event time field.
The setting of mapping relations is divided into following three kinds:
Mode one presets mapping relations between the event field and the event time field, and will mapping
Relationship is shown to user in operation interface.Such method can shield complicated mapping due to pre-setting
Setting up procedure reduces user and uses difficulty.But since user cannot intervene mapping settings process, not enough spirit under certain application scenarios
It is living.
Mode two, the mode being arranged immediately for operation when the event field and institute are specified according to the current order of user
State the mapping relations between event time field, that is, user is in operation, according to instantly the case where manually specify event word
The corresponding event time field of section.Such method increases user using difficulty, but when can clearly specify event due to user
Between field, it is flexible to use comparison under certain application scenarios.
Mode three presets and is arranged immediately the mode that (i.e. manual setting) combines.First pre-configured mapping is closed
Mapping relations are shown to user in use process, and mapping configuration interface are opened to user by system, and user is just under specific demand
The mapping relations between event field and event time field can be modified in operation interface.Such method, which can achieve, both to drop
Low user uses difficulty, the purpose that can flexibly use again under special screne.
In a kind of exemplary embodiment of the disclosure, mapping is done between event field and event time field and is reflected
Relationship is penetrated, by the event field of user setting, basic point time T0 is calculated then in conjunction with mapping relations.By basic point time T0
As the output of T0 computation model, medical events are inputted as function, when flexibly defining basic point by the definition to medical events
Between T0, meet the needs of user defines basic point time T0 with medical events.
In step S206, event searching is carried out according to the mapping relations.
In a kind of exemplary embodiment of the disclosure, which is specifically included:
Firstly, calculating the basic point time according to the mapping relations between event condition and event time；Secondly, according to institute
It states the basic point time to be expanded according to extended parameter, obtains the filter condition for the event condition；Then, the mistake is utilized
Filter condition carries out event searching, finds the disease data for meeting the filter condition.
Wherein in above-mentioned steps further include: the field attribute of the extended parameter is set, wherein the field attribute includes:
Before event, after event and number that event occurs, such as setting includes some thing to the extended parameter of basic point time T0
N days before part, n days after event, or n months before being some event, n months after event, also either some thing
N before part, n after event, the extended parameter being specifically arranged can be adjusted according to specific disease etc..In addition, may be used also
It is configured with the time (expanding the time) etc. that event frequency and event occur every time.
In a kind of exemplary embodiment of the disclosure, one group of event condition and corresponding can be set in above-mentioned steps
Filter condition can also repeat that several groups of event conditions and corresponding filter condition is arranged as needed, and finally by multiple groups
It carries out gathering combined mode between the result set that event condition and corresponding filter condition are obtained by filtration, may be configured as union
Or intersection, multiple operation result set merge into a set.
In addition, the pass of filter condition Yu basic point time T0 can also be arranged in a kind of exemplary embodiment of the disclosure
System, may include two kinds of situations: one is filter out to meet can be used as one group of event condition and corresponding filter condition
The result of event searching；Another kind is to filter out to meet the conduct event of all groups of event conditions and corresponding filter condition and search
The result of rope.It can according to need one of situation of selection in practical applications to search for End Event.
In this step, firstly, since event field, event screen field (namely event time field, for carrying out
Event screening, therefore can be referred to as event screening field) be patient data field in disease data data model subset,
Institutional framework is consistent with disease data model structure, is all three layers of tree.Existing disease data model generally uses non-
Tree structure, compared to Storage Structure of Tree, it has more data redundancies, accounts for biggish memory space, is unfavorable for the retrieval of data
And most of calculating can be transferred to distribution by calculating, three layers of tree that the disease data model in the present embodiment uses
In (such as Elasticsearch) search engine of formula, larger shortening calculates the time.
Based on above-mentioned, the above method is introduced below in conjunction with a specific example:
First group of event condition is set are as follows: " diagnosis name " includes that " nasopharyngeal carcinoma " and " gender " is " male "；
Second group of event condition is set are as follows: " diagnosis name " includes that " malignant tumor of nasopharynx " and " gender " is " male " and " is
No smoking " is "Yes"；
The basic point time T0 of setting are as follows: the lower time diagnosed, be specially directed to the lower Diagnostic Time of first group of event condition
Lower Diagnostic Time with second group of event condition is respectively different basic point time T0；
Filter condition can be with are as follows: in event " before " " 1 " day and between event " later " " 1 " day, " at least " generation " 1 "
Secondary event, the screening field of event are that " medicament universal name " includes " hydrochloride for injection gemcitabine " and " whether having history of operation " packet
Containing "Yes", event searching is carried out in this, as screening field, obtains qualified disease data, Fig. 3, which is shown, realizes disease number
According to a kind of reference interface of processing method.
Three layers of tree-shaped laminated tissue data in the present embodiment, can simplify front end language definition to rear end and inquire dsl (i.e.
Query DSL structuralized query) building process.In event Definition Model, generally a set of couple of user friend can be defined in front end
Preceding end instruction is built into the dsl conducive to error detection and calculating, is conducive to simplify the building process by good definitional language, rear end, thing
Part Definition Model relies on search engine operation.
It is general in the prior art to obtain patient base's data on the application layer and calculate as a result, it is desirable to using distributed meter
It calculates, and all patients data needed for obtaining event field, event time field etc. and calculating, generally requires to occupy a large amount of memories moneys
Source.In addition, being related to a large amount of collective data crossing operations in data calculating section, generally require in application layer with distributed meter
Calculating task is distributed in cluster by the mode of calculation, to promote computational efficiency, is shortened and is calculated the time, but can occupy in this way compared with
More hardware resources.Existing search engine product (such as Elasticsearch) has fairly perfect Optimization of Information Retrieval scheme, this
Data and main calculating are put into search engine in embodiment, data screening can be completed with search engine, and part calculates
Task can be operated with the built-in aggregation of search engine to realize, on the basis of application end search engine calculated result
Remaining calculate is completed again and does the calculation of fortune task, in this way can is that service application layer saves a large amount of calculating operations, be reduced to memory, CPU
The requirement of equal hardware.
It should be noted that traditional distributed computing can also be used in disclosure other embodiments.
Secondly, being based on web technology, front and back end environment and index service are built.The preceding end instruction FDSL of event searching
(front-end domain specific language) mainly the operation of description front-end functionality, rear end instruction mainly describe to operate
Logic.After front end sentence is transferred to back-end services, by building engine by front end sentence builder at rear end sentence.According to above-mentioned step
Suddenly the event Definition Model obtained can effectively make event calculate lightweight, save hardware and research and development cost.
According to the disease data processing method of the disclosure, on the one hand, can be according to the disease data mould with hierarchical relationship
Field in type establishes the mapping relations of event condition and event time, searches so as to carry out event according to the mapping relations
Rope flexibly realizes the mapping between event field and event time field based on disease data model, makes the calculating of event searching
Hardware resource and development cost are saved in the abundant lightweight of process.On the other hand, since disease data model uses three layers of tree-shaped knot
Structure can effectively avoid data redundancy, occupy smaller memory space, facilitate the retrieval and calculating of data, can be by major part
Calculating is transferred in distributed search engine, and larger shorten calculates the time.Furthermore it is possible to flexibly be defined according to mapping relations
Basic point time T0, configuration can be simplified by meeting while the user T0 of special scenes defines demand, reduced and used difficulty.
It will be clearly understood that the present disclosure describes how to form and use particular example, but the principle of the disclosure is not limited to
These exemplary any details.On the contrary, the introduction based on disclosure disclosure, these principles can be applied to many other
Embodiment.
Fig. 4 is a kind of block diagram of disease data processing unit shown according to an exemplary embodiment.Disease data processing
Device 40 includes: data acquisition module 401, mapping block 402 and search module 403.
Wherein, data acquisition module 401 is used to obtain the disease data model with hierarchical relationship；Mapping block 402 is used
In establishing the mapping relations between event condition and event time according to the field in the disease data model；Search module
403 for carrying out event searching according to the mapping relations.
According to the disease data processing unit of the disclosure, on the one hand, can be according to the disease data mould with hierarchical relationship
Field in type establishes the mapping relations of event condition and event time, searches so as to carry out event according to the mapping relations
Rope flexibly realizes the mapping between event field and event time field based on disease data model, makes the calculating of event searching
Hardware resource and development cost are saved in the abundant lightweight of process.On the other hand, since disease data model uses three layers of tree-shaped knot
Structure can effectively avoid data redundancy, occupy smaller memory space, facilitate the retrieval and calculating of data, can be by major part
Calculating is transferred in distributed search engine, and larger shorten calculates the time.Furthermore it is possible to flexibly be defined according to mapping relations
Basic point time T0, configuration can be simplified by meeting while the user T0 of special scenes defines demand, reduced and used difficulty.
It will be clearly understood that the present disclosure describes how to form and use particular example, but the principle of the disclosure is not limited to
These exemplary any details.On the contrary, the introduction based on disclosure disclosure, these principles can be applied to many other
Embodiment.
It will be appreciated by those skilled in the art that realizing that all or part of the steps of above-described embodiment is implemented as being executed by CPU
Computer program.When the computer program is executed by CPU, above-mentioned function defined by the above method that the disclosure provides is executed
Energy.The program can store in a kind of computer readable storage medium, which can be read-only memory, magnetic
Disk or CD etc..
Further, it should be noted that above-mentioned attached drawing is only the place according to included by the method for disclosure exemplary embodiment
Reason schematically illustrates, rather than limits purpose.It can be readily appreciated that above-mentioned processing shown in the drawings is not indicated or is limited at these
The time sequencing of reason.In addition, be also easy to understand, these processing, which can be, for example either synchronously or asynchronously to be executed in multiple modules.
Fig. 5 is the block diagram of a kind of electronic equipment shown according to an exemplary embodiment.
The electronic equipment 200 of this embodiment according to the disclosure is described referring to Fig. 5.The electronics that Fig. 5 is shown
Equipment 200 is only an example, should not function to the embodiment of the present disclosure and use scope bring any restrictions.
As shown in figure 5, electronic equipment 200 is showed in the form of universal computing device.The component of electronic equipment 200 can wrap
It includes but is not limited to: at least one processing unit 210, at least one storage unit 220, (including the storage of the different system components of connection
Unit 220 and processing unit 210) bus 230, display unit 240 etc..
Wherein, the storage unit is stored with program code, and said program code can be held by the processing unit 210
Row, so that the processing unit 210 executes described in this specification above-mentioned electronic prescription circulation processing method part according to this
The step of disclosing various illustrative embodiments.For example, the processing unit 210 can execute step as shown in Figure 2.
The storage unit 220 may include the readable medium of volatile memory cell form, such as random access memory
Unit (RAM) 2201 and/or cache memory unit 2202 can further include read-only memory unit (ROM) 2203.
The storage unit 220 can also include program/practical work with one group of (at least one) program module 2205
Tool 2204, such program module 2205 includes but is not limited to: operating system, one or more application program, other programs
It may include the realization of network environment in module and program data, each of these examples or certain combination.
Bus 230 can be to indicate one of a few class bus structures or a variety of, including storage unit bus or storage
Cell controller, peripheral bus, graphics acceleration port, processing unit use any bus structures in a variety of bus structures
Local bus.
Electronic equipment 200 can also be with one or more external equipments 300 (such as keyboard, sensing equipment, bluetooth equipment
Deng) communication, can also be enabled a user to one or more equipment interact with the electronic equipment 200 communicate, and/or with make
Any equipment (such as the router, modulation /demodulation that the electronic equipment 200 can be communicated with one or more of the other calculating equipment
Device etc.) communication.This communication can be carried out by input/output (I/O) interface 250.Also, electronic equipment 200 can be with
By network adapter 260 and one or more network (such as local area network (LAN), wide area network (WAN) and/or public network,
Such as internet) communication.Network adapter 260 can be communicated by bus 230 with other modules of electronic equipment 200.It should
Understand, although not shown in the drawings, other hardware and/or software module can be used in conjunction with electronic equipment 200, including but unlimited
In: microcode, device driver, redundant processing unit, external disk drive array, RAID system, tape drive and number
According to backup storage system etc..
Through the above description of the embodiments, those skilled in the art is it can be readily appreciated that example described herein is implemented
Mode can also be realized by software realization in such a way that software is in conjunction with necessary hardware.Therefore, according to the disclosure
The technical solution of embodiment can be embodied in the form of software products, which can store non-volatile at one
Property storage medium (can be CD-ROM, USB flash disk, mobile hard disk etc.) in or network on, including some instructions are so that a calculating
Equipment (can be personal computer, server or network equipment etc.) executes the above method according to disclosure embodiment.
Fig. 6 schematically shows a kind of computer readable storage medium schematic diagram in disclosure exemplary embodiment.
Refering to what is shown in Fig. 6, describing the program product for realizing the above method according to embodiment of the present disclosure
400, can using portable compact disc read only memory (CD-ROM) and including program code, and can in terminal device,
Such as it is run on PC.However, the program product of the disclosure is without being limited thereto, in this document, readable storage medium storing program for executing can be with
To be any include or the tangible medium of storage program, the program can be commanded execution system, device or device use or
It is in connection.
Described program product can be using any combination of one or more readable mediums.Readable medium can be readable letter
Number medium or readable storage medium storing program for executing.Readable storage medium storing program for executing for example can be but be not limited to electricity, magnetic, optical, electromagnetic, infrared ray or
System, device or the device of semiconductor, or any above combination.The more specific example of readable storage medium storing program for executing is (non exhaustive
List) include: electrical connection with one or more conducting wires, portable disc, hard disk, random access memory (RAM), read-only
Memory (ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disc read only memory
(CD-ROM), light storage device, magnetic memory device or above-mentioned any appropriate combination.
The computer readable storage medium may include in a base band or the data as the propagation of carrier wave a part are believed
Number, wherein carrying readable program code.The data-signal of this propagation can take various forms, including but not limited to electromagnetism
Signal, optical signal or above-mentioned any appropriate combination.Readable storage medium storing program for executing can also be any other than readable storage medium storing program for executing
Readable medium, the readable medium can send, propagate or transmit for by instruction execution system, device or device use or
Person's program in connection.The program code for including on readable storage medium storing program for executing can transmit with any suitable medium, packet
Include but be not limited to wireless, wired, optical cable, RF etc. or above-mentioned any appropriate combination.
Can with any combination of one or more programming languages come write for execute the disclosure operation program
Code, described program design language include object oriented program language-Java, C++ etc., further include conventional
Procedural programming language-such as " C " language or similar programming language.Program code can be fully in user
It calculates and executes in equipment, partly executes on a user device, being executed as an independent software package, partially in user's calculating
Upper side point is executed on a remote computing or is executed in remote computing device or server completely.It is being related to far
Journey calculates in the situation of equipment, and remote computing device can pass through the network of any kind, including local area network (LAN) or wide area network
(WAN), it is connected to user calculating equipment, or, it may be connected to external computing device (such as utilize ISP
To be connected by internet).
Above-mentioned computer-readable medium carries one or more program, when said one or multiple programs are by one
When the equipment executes, so that the computer-readable medium implements function such as: obtaining the disease data model with hierarchical relationship；
The mapping relations between event condition and event time are established according to the field in the disease data model；According to the mapping
Relationship carries out event searching.
It will be appreciated by those skilled in the art that above-mentioned each module can be distributed in device according to the description of embodiment, it can also
Uniquely it is different from one or more devices of the present embodiment with carrying out corresponding change.The module of above-described embodiment can be merged into
One module, can also be further split into multiple submodule.
By the description of above embodiment, those skilled in the art is it can be readily appreciated that example embodiment described herein
It can also be realized in such a way that software is in conjunction with necessary hardware by software realization.Therefore, implemented according to the disclosure
The technical solution of example can be embodied in the form of software products, which can store in a non-volatile memories
In medium (can be CD-ROM, USB flash disk, mobile hard disk etc.) or on network, including some instructions are so that a calculating equipment (can
To be personal computer, server, mobile terminal or network equipment etc.) it executes according to the method for the embodiment of the present disclosure.
It is particularly shown and described the exemplary embodiment of the disclosure above.It should be appreciated that the present disclosure is not limited to
Detailed construction, set-up mode or implementation method described herein；On the contrary, disclosure intention covers included in appended claims
Various modifications and equivalence setting in spirit and scope.
In addition, structure shown by this specification Figure of description, ratio, size etc., only to cooperate specification institute
Disclosure, for skilled in the art realises that be not limited to the enforceable qualifications of the disclosure with reading, therefore
Do not have technical essential meaning, the modification of any structure, the change of proportionate relationship or the adjustment of size are not influencing the disclosure
Under the technical effect and achieved purpose that can be generated, it should all still fall in technology contents disclosed in the disclosure and obtain and can cover
In the range of.Meanwhile cited such as "upper" in this specification, " first ", " second " and " one " term, be also only and be convenient for
Narration is illustrated, rather than to limit the enforceable range of the disclosure, relativeness is altered or modified, without substantive change
Under technology contents, when being also considered as the enforceable scope of the disclosure.
Claims (10)
1. a kind of disease data processing method characterized by comprising
Obtain the disease data model with hierarchical relationship；
The mapping relations between event condition and event time are established according to the field in the disease data model；
Event searching is carried out according to the mapping relations.
2. disease data processing method as described in claim 1, which is characterized in that the disease data model is three layers of tree-shaped
Structure, wherein first layer includes patient basis, and the second layer includes classification information, and third layer includes patient data field.
3. disease data processing method as claimed in claim 2, which is characterized in that patient's number in the disease data model
It include event field and corresponding event time field according to field.
4. disease data processing method as claimed in claim 3, which is characterized in that according to the word in the disease data model
Mapping relations between Duan Jianli event condition and event time include:
Using preset, be arranged immediately and preset with immediately setting combine in any mode；
Wherein the pre-set mode is the mapping preset between the event field and the event time field
Relationship；Immediately the mode being arranged specifies the event field and the event according to the current order of user when being operation
Mapping relations between time field.
5. disease data processing method as described in claim 1, which is characterized in that data in the disease data model with
The storage of JSON format.
6. disease data processing method as claimed in claim 4, which is characterized in that carry out event according to the mapping relations and search
Rope includes:
The basic point time is calculated according to the mapping relations between event condition and event time；
Expanded according to the basic point time according to extended parameter, obtains the filter condition for the event condition；
Event searching is carried out using the filter condition, finds the disease data for meeting the filter condition.
7. disease data processing method as claimed in claim 6, which is characterized in that carry out event according to the mapping relations and search
Rope further include:
The field attribute of the extended parameter is set, wherein the field attribute include: event before, after event and event
The number of generation.
8. a kind of disease data processing unit characterized by comprising
Data acquisition module, for obtaining the disease data model with hierarchical relationship；
Mapping block, for establishing the mapping between event condition and event time according to the field in the disease data model
Relationship；
Search module, for carrying out event searching according to the mapping relations.
9. a kind of electronic equipment characterized by comprising
One or more processors；
Storage device, for storing one or more programs；
When one or more of programs are executed by one or more of processors, so that one or more of processors are real
The now method as described in any in claim 1-7.
10. a kind of computer-readable medium, is stored thereon with computer program, which is characterized in that described program is held by processor
The method as described in any in claim 1-7 is realized when row.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111315953.3A CN114049927A (en) | 2018-11-09 | 2018-11-09 | Disease data processing method and device, electronic equipment and readable medium |
| CN201811334410.4A CN109616212A (en) | 2018-11-09 | 2018-11-09 | Disease data processing method, device, electronic equipment and readable medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811334410.4A CN109616212A (en) | 2018-11-09 | 2018-11-09 | Disease data processing method, device, electronic equipment and readable medium |
Related Child Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111315953.3A Division CN114049927A (en) | 2018-11-09 | 2018-11-09 | Disease data processing method and device, electronic equipment and readable medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109616212A true CN109616212A (en) | 2019-04-12 |
Family
ID=66004098
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111315953.3A Pending CN114049927A (en) | 2018-11-09 | 2018-11-09 | Disease data processing method and device, electronic equipment and readable medium |
| CN201811334410.4A Pending CN109616212A (en) | 2018-11-09 | 2018-11-09 | Disease data processing method, device, electronic equipment and readable medium |
Family Applications Before (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111315953.3A Pending CN114049927A (en) | 2018-11-09 | 2018-11-09 | Disease data processing method and device, electronic equipment and readable medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (2) | CN114049927A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110459276A (en) * | 2019-08-15 | 2019-11-15 | 北京嘉和海森健康科技有限公司 | A kind of data processing method and relevant device |
| CN110543517A (en) * | 2019-08-26 | 2019-12-06 | 汉纳森（厦门）数据股份有限公司 | Method, device and medium for realizing complex query of mass data based on elastic search |
| CN116069904A (en) * | 2023-03-03 | 2023-05-05 | 中国人民解放军总医院 | Electronic medical record searching method, system, device, storage medium and product |
| CN116230250A (en) * | 2023-02-01 | 2023-06-06 | 郑州大学 | Disease prediction method and system based on big data |
| CN117271903A (en) * | 2023-11-17 | 2023-12-22 | 神州医疗科技股份有限公司 | Event searching method and device based on clinical big data of hospital |
| CN117453752A (en) * | 2023-12-25 | 2024-01-26 | 神州医疗科技股份有限公司 | Hospital clinical data retrieval method and device based on retrieval configuration table data model |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060167721A1 (en) * | 2004-12-30 | 2006-07-27 | Betty Bernard | Methods for patient care using acuity templates |
| US20080098329A1 (en) * | 2000-03-31 | 2008-04-24 | Global Med Technologies, Inc. | Patient information bar and method for tracking and displaying blood products |
| CN103605760A (en) * | 2013-11-25 | 2014-02-26 | 方正国际软件有限公司 | Medical record query method and medical record query system |
| CN107391175A (en) * | 2017-06-20 | 2017-11-24 | 福建天泉教育科技有限公司 | Control data collocation method and computer-readable recording medium |
| CN107767922A (en) * | 2017-10-25 | 2018-03-06 | 医渡云（北京）技术有限公司 | Medical data receives discharge method and device, electronic equipment, storage medium |
| CN108133756A (en) * | 2017-12-26 | 2018-06-08 | 医渡云（北京）技术有限公司 | Medical data searching method and device, storage medium, electronic equipment |
| CN108733662A (en) * | 2017-04-13 | 2018-11-02 | 北京京东尚科信息技术有限公司 | Method, apparatus, electronic equipment and the readable storage medium storing program for executing of comparison of data consistency |
-
2018
- 2018-11-09 CN CN202111315953.3A patent/CN114049927A/en active Pending
- 2018-11-09 CN CN201811334410.4A patent/CN109616212A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080098329A1 (en) * | 2000-03-31 | 2008-04-24 | Global Med Technologies, Inc. | Patient information bar and method for tracking and displaying blood products |
| US20060167721A1 (en) * | 2004-12-30 | 2006-07-27 | Betty Bernard | Methods for patient care using acuity templates |
| CN103605760A (en) * | 2013-11-25 | 2014-02-26 | 方正国际软件有限公司 | Medical record query method and medical record query system |
| CN108733662A (en) * | 2017-04-13 | 2018-11-02 | 北京京东尚科信息技术有限公司 | Method, apparatus, electronic equipment and the readable storage medium storing program for executing of comparison of data consistency |
| CN107391175A (en) * | 2017-06-20 | 2017-11-24 | 福建天泉教育科技有限公司 | Control data collocation method and computer-readable recording medium |
| CN107767922A (en) * | 2017-10-25 | 2018-03-06 | 医渡云（北京）技术有限公司 | Medical data receives discharge method and device, electronic equipment, storage medium |
| CN108133756A (en) * | 2017-12-26 | 2018-06-08 | 医渡云（北京）技术有限公司 | Medical data searching method and device, storage medium, electronic equipment |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110459276A (en) * | 2019-08-15 | 2019-11-15 | 北京嘉和海森健康科技有限公司 | A kind of data processing method and relevant device |
| CN110543517A (en) * | 2019-08-26 | 2019-12-06 | 汉纳森（厦门）数据股份有限公司 | Method, device and medium for realizing complex query of mass data based on elastic search |
| CN110543517B (en) * | 2019-08-26 | 2022-05-10 | 汉纳森（厦门）数据股份有限公司 | Method, device and medium for realizing complex query of mass data based on elastic search |
| CN116230250A (en) * | 2023-02-01 | 2023-06-06 | 郑州大学 | Disease prediction method and system based on big data |
| CN116230250B (en) * | 2023-02-01 | 2023-09-29 | 郑州大学 | Disease prediction method and system based on big data |
| CN116069904A (en) * | 2023-03-03 | 2023-05-05 | 中国人民解放军总医院 | Electronic medical record searching method, system, device, storage medium and product |
| CN117271903A (en) * | 2023-11-17 | 2023-12-22 | 神州医疗科技股份有限公司 | Event searching method and device based on clinical big data of hospital |
| CN117453752A (en) * | 2023-12-25 | 2024-01-26 | 神州医疗科技股份有限公司 | Hospital clinical data retrieval method and device based on retrieval configuration table data model |
| CN117453752B (en) * | 2023-12-25 | 2024-03-19 | 神州医疗科技股份有限公司 | Hospital clinical data retrieval method and device based on retrieval configuration table data model |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114049927A (en) | 2022-02-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109616212A (en) | Disease data processing method, device, electronic equipment and readable medium | |
| US11409775B2 (en) | Recommending documents sets based on a similar set of correlated features | |
| CN109086409A (en) | Micro services data processing method, device, electronic equipment and computer-readable medium | |
| US10303689B2 (en) | Answering natural language table queries through semantic table representation | |
| JP2018533126A (en) | Method, system, and computer program product for a natural language interface to a database | |
| US11455337B2 (en) | Preventing biased queries by using a dictionary of cause and effect terms | |
| US9940355B2 (en) | Providing answers to questions having both rankable and probabilistic components | |
| US11487801B2 (en) | Dynamic data visualization from factual statements in text | |
| US20180349343A1 (en) | Relation extraction using q&a | |
| US11443213B2 (en) | System and method for approximate reasoning using ontologies and unstructured data | |
| US11669530B2 (en) | Information push method and apparatus, device, and storage medium | |
| US10803101B2 (en) | Recommending responses to emergent conditions | |
| US11334606B2 (en) | Managing content creation of data sources | |
| US10831994B2 (en) | Naming convention reconciler | |
| US10235632B2 (en) | Automatic claim reliability scorer based on extraction and evidence analysis | |
| US20190065583A1 (en) | Compound q&a system | |
| US11630663B2 (en) | Compressing multi-attribute vector into a single eigenvalue for ranking subject matter experts | |
| US20190026389A1 (en) | Post-processor for collecting related factoid answers into a single object | |
| US20220188674A1 (en) | Machine learning classifiers prediction confidence and explanation | |
| US11461540B2 (en) | Cross-document propagation of entity metadata | |
| US20210383072A1 (en) | Concept disambiguation for natural language processing | |
| US11556591B2 (en) | Tenant-isolated custom annotations for search within a public corpus | |
| US9984136B1 (en) | System, method, and program product for lightweight data federation | |
| CN109522226A (en) | Big data platform test method, device, electronic equipment and computer-readable medium | |
| CN112052662B (en) | Method and system for relevance-based document quality assessment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |