CN108447528A - Information processing method and device, equipment, computer readable storage medium - Google Patents
Information processing method and device, equipment, computer readable storage medium Download PDFInfo
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- CN108447528A CN108447528A CN201810117495.4A CN201810117495A CN108447528A CN 108447528 A CN108447528 A CN 108447528A CN 201810117495 A CN201810117495 A CN 201810117495A CN 108447528 A CN108447528 A CN 108447528A
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- 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
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/279—Recognition of textual entities
- G06F40/289—Phrasal analysis, e.g. finite state techniques or chunking
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Abstract
The invention discloses a kind of information processing methods and device, equipment, computer readable storage medium.Described information processing method includes：Obtain pending information；Wherein, include m information unit in the pending information；m≥1；Each described information unit is analyzed, obtains the corresponding n information unit feature of each described information unit respectively；Wherein, n >=1；Same category of each described information element characteristic will be belonged to merge, obtain x information characteristics；Wherein, x >=1；According to each described information feature, the pending information is handled, generates corresponding information processing result.Using the present invention, the efficiency and utilization benefit of information processing can be improved.
Description
Technical field
The present invention relates to field of computer technology more particularly to a kind of information processing method and device, equipment, computer can
Read storage medium.
Background technology
In computer technology development process at this stage, in order to ensure direction is being runed just in product development direction and product
True property, realizes product development purpose, and data processing and data analysis are indispensable important components.But due to not
The differences such as system language, format, pattern and data processing method between homologous ray, therefore, a source data may be at one
After completing data processing and analysis in system, need to convert by format conversion or structure etc., could be at another
Further data processing and analysis are carried out in system.
By taking the data analysis in hospital system as an example, it is well known that medical record templates used by Different hospital are different,
Provisioned data analysis system also differs.When a certain sufferer, which is transferred from one hospital to another from first hospital to second hospital, to be received to treat, second hospital
The case where in order to be best understood from the sufferer, needs to divide its passing medical history, personal information, individual physique data etc.
Analysis just needs from the medical record templates of first hospital to convert the medical history information of the sufferer to the medical record templates of second hospital, process at this time
Very complicated complexity.When the sufferer since treatment needs to shift between multiple hospitals, or when the multiple hospital's cooperations of needs are real
When treating treatment, including the medical history information of identical content just needs to carry out multiple format conversion, to adapt to the case history mould of each hospital
Plate, very complicated to the process that case history is analyzed at this time, inefficiency, the cooperation and friendship being extremely unfavorable between Different hospital
Stream.
It can be seen that conventionally, as incompatibility between different system, leads to data processing and data point
The inefficiency of analysis, and it is unable to give full play the utilization benefit of data.
Invention content
A kind of information processing method of proposition of the embodiment of the present invention and device, equipment, computer readable storage medium, Neng Gouti
The efficiency and utilization benefit of high information processing.
A kind of information processing method provided in an embodiment of the present invention, specifically includes：
Obtain pending information；Wherein, include m information unit in the pending information；m≥1；
Each described information unit is analyzed, obtains the corresponding n information unit of each described information unit respectively
Feature；Wherein, n >=1；
Same category of each described information element characteristic will be belonged to merge, obtain x information characteristics；Wherein, x >=1；
According to each described information feature, the pending information is handled, generates corresponding information processing result.
Further, the pending information is case history text；Then the m information unit include state of an illness readme unit,
Clinical data unit and medical history data unit；Wherein, believe comprising disease name information, sick time in the medical history data unit
Breath, drug use information and treatment means information.
Further, described that each described information unit is analyzed, each described information unit is obtained respectively to be corresponded to
N information unit feature, specifically include：
Vectorized process is carried out to each described information unit, obtains the corresponding n letter of each described information unit respectively
Cease element characteristic.
Further, described to belong to same category of each described information element characteristic merging, it is special to obtain x information
Sign, specifically includes：
According to each described information unit and each described information element characteristic, the letter for including m row n the first elements of row is generated
Cease matrix；
All first elements for belonging to same row in described information matrix are merged, the letter for including n second element is obtained
Breath vector；
Each second element in described information vector is respectively set to described information feature.
Further, all first elements that same row is belonged in the matrix by described information merge, and obtain comprising n
The information vector of second element, specifically includes：
The average value for all first elements for belonging to same row in described information matrix is calculated separately, it is a described flat to obtain n
Mean value；
Each average value is generated into the letter respectively as the second element, and according to each second element
Breath vector.
Further, all first elements that same row is belonged in the matrix by described information merge, and obtain comprising n
The information vector of second element, specifically includes：
Calculate separately all first elements for belonging to same row in described information matrix and value, obtain n described and values；
Each described and value is generated into described information respectively as the second element, and according to each second element
Vector.
Further, n=30 either n=50 either n=100 either n=200 or n=300.
Correspondingly, the embodiment of the present invention additionally provides a kind of information processing unit, specifically includes：
Pending information acquisition module, for obtaining pending information；Wherein, m letter is included in the pending information
Interest statement member；m≥1；
Information unit feature obtains module, for analyzing each described information unit, obtains respectively each described
The corresponding n information unit feature of information unit；Wherein, n >=1；
Information characteristics obtain module, merge for that will belong to same category of each described information element characteristic, obtain x
Information characteristics；Wherein, x >=1；And
Message processing module generates phase for according to each described information feature, handling the pending information
The information processing result answered.
The embodiment of the present invention additionally provides a kind of equipment, specifically includes at least one processor and at least one processing
Device；
The memory, including it is stored at least one executable program therein；
The executable program by the processor when being executed so that the processor is realized at information as described above
Reason method.
The embodiment of the present invention additionally provides a kind of computer readable storage medium, specifically includes the computer program of storage；
Wherein, equipment where controlling the computer readable storage medium when the computer program is run executes letter as described above
Cease processing method.
Implement the embodiment of the present invention, has the advantages that：
Information processing method and device provided in an embodiment of the present invention, equipment, computer readable storage medium, by treating
The information characteristics of processing information are analyzed and are extracted so that subsequent information processing only need to be by carrying out these information characteristics
Processing can be realized, and to improve the versatility of pending information, avoid algorithms of different, different application, different system etc.
Requirement and limitation of the running environment to the format of pending information, are omitted the process of format conversion, so as to improve information
The efficiency of processing.In addition, the versatility due to improving pending information so that pending information can be in different running environment
In can be handled, therefore the utilization benefit of pending information can be improved.
Description of the drawings
Fig. 1 is the flow diagram of a preferred embodiment of information processing method provided by the invention；
Fig. 2 is the structural schematic diagram of a preferred embodiment of information processing unit provided by the invention；
Fig. 3 is the structural schematic diagram of a preferred embodiment of equipment provided by the invention.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained every other without creative efforts
Embodiment shall fall within the protection scope of the present invention.
As shown in Figure 1, the flow diagram of a preferred embodiment for information processing method provided by the invention, packet
Step S11 to S14 is included, it is specific as follows：
S11：Obtain pending information；Wherein, include m information unit in the pending information；m≥1.
It should be noted that the present embodiment is executed by the system.Wherein, which can be installed on mobile phone, tablet, computer etc.
Terminal device can also be installed on server.
In the present embodiment, pending information is made of m information unit.
It is highly preferred that the pending information is case history text；Then the m information unit include state of an illness readme unit,
Clinical data unit and medical history data unit；Wherein, believe comprising disease name information, sick time in the medical history data unit
Breath, drug use information and treatment means information.
It should be noted that the present embodiment can be applied to medical domain, analyzed with the case history to sufferer.It is above-mentioned to wait for
Processing information can indicate in vector form.Specifically, system is after receiving case history text to be analyzed, according to each portion
The corresponding information of marker extraction divided, and corresponding vector is generated according to the information of extraction.For example, system receive it is to be analyzed
Case history text after, extract state of an illness readme unit therein, and point participle in being carried out to the content in the state of an illness readme unit
Processing will be decomposed each word obtained and be indicated with Wi；Clinical data unit therein is extracted, and will be in the clinical data unit
Each content is indicated with Li；The disease name information in medical history data unit therein is extracted, and is indicated with Bi；It extracts therein
Sick time information in medical history data unit, and indicated with Ti；The drug extracted in medical history data unit therein uses letter
Breath, and indicated with Yi；The treatment means information in medical history data unit therein is extracted, and is indicated with Si；Then, according to extraction
Every terms of information, generate vectorial ((Wi), (Li), (Bi, Ti, Yi, Si)).
It should be further noted that in some specific embodiments, above-mentioned case text can include the above-mentioned state of an illness
One or more of readme unit, clinical data unit and medical history data unit, in addition, in above-mentioned case history text except comprising
Can also include other content outside above-mentioned state of an illness readme unit, clinical data unit and medical history data unit.In addition, being generated
Vector in every element put in order can be needed according to actual conditions carry out adaptability adjustment, be not limited thereto.
S12：Each described information unit is analyzed, obtains the corresponding n information of each described information unit respectively
Element characteristic；Wherein, n >=1.
It should be noted that the form of expression of above- mentioned information element characteristic can be word, can be number, or
Other forms.
It is highly preferred that n=30 either n=50 either n=100 either n=200 or n=300.
It should be noted that in order to ensure that running efficiency of system, the value of n are typically in the range of between 10 to 500, it is preferable that n is
30,50,100,200 or 300.
Further, above-mentioned steps S12 can further include step S1201, specific as follows：
S1201：Vectorized process is carried out to each described information unit, it is corresponding to obtain each described information unit respectively
N information unit feature.
It should be noted that in the present embodiment, information unit feature to information unit by carrying out vectorized process
Mode obtains.Specifically, using above-mentioned pending information as text parameter, using above- mentioned information unit as word parameter, and will
Text parameter and each word parameter are input to improved training pattern, are corresponded to which training obtains each word parameter
N-dimensional vector, and each element in the n-dimensional vector is set gradually into the information unit feature for corresponding word parameter, i.e.,
Obtain the corresponding n information unit feature of each information unit.It is highly preferred that above-mentioned training pattern can be Word2Vec,
GloVe scheduling algorithm models, or the form of expression of other training patterns, thus obtained information unit feature is real
Number, indicates distribution situation of each information unit feature in information unit.
S13：Same category of each described information element characteristic will be belonged to merge, obtain x information characteristics；Wherein, x >=
1。
It should be noted that the characteristic information of the above-mentioned pending information of above- mentioned information character representation.System is each in acquisition
After the corresponding information unit feature of information unit, the classification belonging to each information unit feature is identified, and same by that will belong to
A kind of other each information unit feature merges, to obtain the every terms of information feature of pending information.
Further, above-mentioned steps S13 can further include step S1301 to S1303, specific as follows：
S1301：According to each described information unit and each described information element characteristic, it includes first yuan of m row n row to generate
The information matrix of element.
It should be noted that system is after obtaining the corresponding information unit feature of each information unit, with each information
Unit is row, and each information unit is characterized as arranging, and generates the information matrix that size is m*n.Wherein, each in the information matrix
The content of first element is above- mentioned information element characteristic.
S1302：All first elements for belonging to same row in described information matrix are merged, are obtained comprising n second yuan
The information vector of element.
It should be noted that in the present embodiment, x=n.
In another preferred embodiment, above-mentioned steps S1302 can further include step S1302_11 extremely
S1302_12, it is specific as follows：
S1302_11：The average value for all first elements for belonging to same row in described information matrix is calculated separately, n is obtained
A average value.
S1302_12：By each average value respectively as the second element, and according to each second element
Generate described information vector.
It should be noted that in the present embodiment, the second element in above- mentioned information vector is by calculating above- mentioned information square
The average value for belonging to all first elements of same row in battle array obtains.
In yet another preferred embodiment, above-mentioned steps S1302 can further include step S1302_21 extremely
S1302_22, it is specific as follows：
S1302_21：Calculate separately all first elements for belonging to same row in described information matrix and value, obtain n
Described and value.
S1302_22：Each described and value is given birth to respectively as the second element, and according to each second element
At described information vector.
It should be noted that in the present embodiment, the second element in above- mentioned information vector is by calculating above- mentioned information square
Belong to the acquisition of the sum of all first elements of same row in battle array.
It should be further noted that the second element in above- mentioned information vector can also be by calculating above- mentioned information matrix
In belong to same row all first elements Gini coefficient obtain.
S1303：Each second element in described information vector is respectively set to described information feature.
S14：According to each described information feature, the pending information is handled, corresponding information processing is generated
As a result.
It should be noted that after obtaining the corresponding each information characteristics of several pending information through the above steps, it can
By calculating the similarity between each information characteristics, the similarity between each pending information is calculated, to judge respectively
Correlation between a pending information.
In some specific embodiments, after calculating obtains the corresponding each information characteristics of above-mentioned pending information,
The pending information and each information characteristics can also be accordingly stored in database, in order to carry out at subsequent data
Reason.By a large amount of pending information is analyzed and is stored, you can obtain big-sample data library.
It should be further noted that above-mentioned each step numbers are only used for indicating different step, without to each step
Between execution sequence be defined.
The information processing method that the embodiment of the present invention is provided, by the information characteristics to pending information carry out analysis and
Extraction so that subsequent information processing need to only be can be realized by carrying out processing to these information characteristics, wait locating to improve
The versatility for managing information avoids the running environment such as algorithms of different, different application, different system to the format of pending information
It is required that and limitation, the process of format conversion is omitted, so as to improve the efficiency of information processing.In addition, being waited for due to improving
Handle the versatility of information so that pending information can be handled in different running environment, therefore can be improved
The utilization benefit of pending information.When the embodiment of the present invention is applied to medical domain, enable to case history text can be by
Different hospital or different parser identifications and processing, so as to improve the efficiency that hospital analyzes case history, rapidly
The important information in case history is obtained, the physical condition of sufferer is fully understanded, so as to efficiently and accurately formulate corresponding treatment
Method.
Correspondingly, the present invention also provides a kind of information processing units, can realize the information processing side in above-described embodiment
All flows of method.
As shown in Fig. 2, the structural schematic diagram of a preferred embodiment for information processing unit provided by the invention, tool
Body is as follows：
Pending information acquisition module 21, for obtaining pending information；Wherein, m are included in the pending information
Information unit；m≥1；
Information unit feature obtains module 22 and obtains each institute respectively for analyzing each described information unit
State the corresponding n information unit feature of information unit；Wherein, n >=1；
Information characteristics obtain module 23, merge for that will belong to same category of each described information element characteristic, obtain x
A information characteristics；Wherein, x >=1；And
Message processing module 24 is generated for according to each described information feature, handling the pending information
Corresponding information processing result.
Further, the pending information is case history text；Then the m information unit include state of an illness readme unit,
Clinical data unit and medical history data unit；Wherein, believe comprising disease name information, sick time in the medical history data unit
Breath, drug use information and treatment means information.
Further, described information element characteristic obtains module, specifically includes：
Information unit feature obtaining unit obtains every respectively for carrying out vectorized process to each described information unit
The corresponding n information unit feature of a described information unit.
Further, described information feature obtains module, specifically includes：
Information matrix generation unit, for according to each described information unit and each described information element characteristic, generating
Include the information matrix of m row n the first elements of row；
Information vector obtaining unit is obtained for merging all first elements for belonging to same row in described information matrix
Obtain the information vector for including n second element；And
Information characteristics setting unit, for each second element in described information vector to be respectively set to described information
Feature.
Further, described information vector obtaining unit, specifically includes：
Mean value calculation subelement, for calculating separately all first elements for belonging to same row in described information matrix
Average value obtains the n average values；And
First information vector generates subelement, for will each average value respectively as the second element, and root
Described information vector is generated according to each second element.
Further, described information vector obtaining unit, specifically includes：
Value calculation subunit, the sum for calculating separately all first elements for belonging to same row in described information matrix
Value obtains n described and values；And
Second information vector generates subelement, for will each described and value respectively as the second element, and according to
Each second element generates described information vector.
Further, n=30 either n=50 either n=100 either n=200 or n=300.
Information processing unit provided in an embodiment of the present invention is analyzed and is carried by the information characteristics to pending information
It takes so that subsequent information processing need to only be can be realized by carrying out processing to these information characteristics, pending to improve
The versatility of information avoids the running environment such as algorithms of different, different application, different system and is wanted to the format of pending information
Summation limitation, is omitted the process of format conversion, so as to improve the efficiency of information processing.In addition, waiting locating due to improving
Manage the versatility of information so that pending information can be handled in different running environment, therefore can be improved and be waited for
Handle the utilization benefit of information.When the embodiment of the present invention is applied to medical domain, enable to case history text can be by not
With hospital or different parser identifications and processing, so as to improve the efficiency that hospital analyzes case history, obtain rapidly
The important information in case history is obtained, fully understands the physical condition of sufferer, so as to efficiently and accurately formulate corresponding treatment side
Method.
The present invention also provides a kind of equipment.
As shown in figure 3, for equipment provided by the invention a preferred embodiment structural schematic diagram, specifically include to
A few memory 31 and at least one processor 32；
The memory 31, including it is stored at least one executable program therein；
The executable program by the processor 32 when being executed so that the processor 32 realizes any implementation as above
Information processing method described in example.
It should be noted that Fig. 3 only by the equipment a memory and a processor be connected for shown
Meaning can also be specific including multiple memories and/or multiple processors in the equipment in some specific embodiments
Number and connection type can need to be configured and be adaptively adjusted according to actual conditions.
Equipment provided in an embodiment of the present invention is analyzed and is extracted by the information characteristics to pending information so that
Subsequent information processing need to only be can be realized by carrying out processing to these information characteristics, to improve the logical of pending information
With property, requirement and limit of the running environment such as algorithms of different, different application, different system to the format of pending information are avoided
System, is omitted the process of format conversion, so as to improve the efficiency of information processing.In addition, due to improving pending information
Versatility so that pending information can be handled in different running environment, therefore can improve pending letter
The utilization benefit of breath.When the embodiment of the present invention is applied to medical domain, enable to case history text can be by Different hospital
Or different parsers identify and processing, so as to improve the efficiency that hospital analyzes case history, obtain case history rapidly
In important information, the physical condition of sufferer is fully understanded, so as to efficiently and accurately formulate corresponding therapy.
The present invention also provides a kind of computer readable storage mediums, specifically include the computer program of storage, wherein
Equipment where controlling the computer readable storage medium when computer program operation executes described in any embodiment as above
Information processing method.
It should be noted that the present invention realizes all or part of flow in above-described embodiment method, meter can also be passed through
Calculation machine program is completed to instruct relevant hardware, and the computer program can be stored in a computer readable storage medium
In, the computer program is when being executed by processor, it can be achieved that the step of above-mentioned each embodiment of the method.Wherein, the calculating
Machine program includes computer program code, and the computer program code can be source code form, object identification code form, can hold
Style of writing part or certain intermediate forms etc..The computer-readable medium may include：The computer program code can be carried
Any entity or device, recording medium, USB flash disk, mobile hard disk, magnetic disc, CD, computer storage, read-only memory (ROM,
Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunications letter
Number and software distribution medium etc..It should be further noted that the content that the computer-readable medium includes can basis
Legislation and the requirement of patent practice carry out increase and decrease appropriate in jurisdiction, such as in certain jurisdictions, according to legislation
And patent practice, computer-readable medium do not include electric carrier signal and telecommunication signal.
Computer readable storage medium provided in an embodiment of the present invention is divided by the information characteristics to pending information
Analysis and extraction so that subsequent information processing need to only be can be realized by carrying out processing to these information characteristics, to improve
The versatility of pending information avoids lattice of the running environment such as algorithms of different, different application, different system to pending information
The requirement and limitation of formula, are omitted the process of format conversion, so as to improve the efficiency of information processing.In addition, due to improving
The versatility of pending information so that pending information can be handled in different running environment, therefore can
Improve the utilization benefit of pending information.When the embodiment of the present invention is applied to medical domain, enable to case history text can
To be identified and be handled by Different hospital or different parsers, so as to improve the efficiency that hospital analyzes case history,
The rapid important information obtained in case history, fully understands the physical condition of sufferer, corresponding so as to efficiently and accurately formulate
Therapy.
The above is the preferred embodiment of the present invention, it is noted that for those skilled in the art
For, without departing from the principle of the present invention, it can also make several improvements and retouch, these improvements and modifications are also considered as
Protection scope of the present invention.
Claims (10)
1. a kind of information processing method, which is characterized in that including：
Obtain pending information；Wherein, include m information unit in the pending information；m≥1；
Each described information unit is analyzed, obtains the corresponding n information unit feature of each described information unit respectively；
Wherein, n >=1；
Same category of each described information element characteristic will be belonged to merge, obtain x information characteristics；Wherein, x >=1；
According to each described information feature, the pending information is handled, generates corresponding information processing result.
2. information processing method as described in claim 1, which is characterized in that the pending information is case history text；Then institute
It includes state of an illness readme unit, clinical data unit and medical history data unit to state m information unit；Wherein, the medical history data list
Include disease name information, sick time information, drug use information and treatment means information in member.
3. information processing method as described in claim 1, which is characterized in that described to divide each described information unit
Analysis, obtains the corresponding n information unit feature of each described information unit, specifically includes respectively：
Vectorized process is carried out to each described information unit, obtains the corresponding n information list of each described information unit respectively
First feature.
4. information processing method as described in claim 1, which is characterized in that described to belong to same category of each letter
It ceases element characteristic to merge, obtains x information characteristics, specifically include：
According to each described information unit and each described information element characteristic, the information square for including m row n the first elements of row is generated
Battle array；
Will belong in described information matrix same row all first elements merge, obtain comprising n second element information to
Amount；
Each second element in described information vector is respectively set to described information feature.
5. information processing method as claimed in claim 4, which is characterized in that belong to same row in the matrix by described information
All first elements merge, obtain and include the information vector of n second element, specifically include：
The average value for all first elements for belonging to same row in described information matrix is calculated separately, the n average values are obtained；
Will each average value respectively as the second element, and according to each second element generate described information to
Amount.
6. information processing method as claimed in claim 4, which is characterized in that belong to same row in the matrix by described information
All first elements merge, obtain and include the information vector of n second element, specifically include：
Calculate separately all first elements for belonging to same row in described information matrix and value, obtain n described and values；
Will each described and value respectively as the second element, and according to each second element generate described information to
Amount.
7. such as information processing method according to any one of claims 1 to 6, which is characterized in that n=30 or n=50, or
Person n=100 either n=200 or n=300.
8. a kind of information processing unit, which is characterized in that including：
Pending information acquisition module, for obtaining pending information；Wherein, include m information list in the pending information
Member；m≥1；
Information unit feature obtains module and obtains each described information respectively for analyzing each described information unit
The corresponding n information unit feature of unit；Wherein, n >=1；
Information characteristics obtain module, merge for that will belong to same category of each described information element characteristic, obtain x information
Feature；Wherein, x >=1；And
Message processing module generates corresponding for according to each described information feature, handling the pending information
Information processing result.
9. a kind of equipment, which is characterized in that including at least one processor and at least one processor；
The memory, including it is stored at least one executable program therein；
The executable program by the processor when being executed so that the processor is realized as any in claim 1 to 7
Information processing method described in.
10. a kind of computer readable storage medium, which is characterized in that the computer readable storage medium includes the calculating of storage
Machine program；Wherein, equipment where controlling the computer readable storage medium when the computer program is run is executed as weighed
Profit requires the information processing method described in any one of 1 to 7.
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