CN107958262A - Comprehensive care platform, the method for comprehensive care and storage medium - Google Patents
Comprehensive care platform, the method for comprehensive care and storage medium Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 31
- 230000000474 nursing effect Effects 0.000 claims abstract description 166
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Abstract
The present invention relates to a kind of comprehensive care platform, the method and storage medium of comprehensive care, this method includes：The case data of user are obtained, the state of an illness grade of the corresponding user of case data of user is determined based on predetermined classified voting algorithm；The state of an illness grade of user is inputted into the comprehensive care path feature models built in advance, obtains the user characteristics unit of output；Nursing activity based on the state of an illness grade of the user characteristics unit and user configuration user.The present invention can be directed to the Rehabilitation nursing service of slow sick user's offer personalization of different conditions and comprehensively, actively, effectively manage.
Description
Technical field
The present invention relates to field of medical technology, more particularly to a kind of comprehensive care platform, the method for comprehensive care and storage
Medium.
Background technology
The feasible chronic diseases management system of science is not yet formed at present, and there is lack effective chronic diseases management mould for chronic diseases management
The problems such as formula, it shows as the hospitalization of attention critical illness, despises and ignore family care treatment and management.Therefore, realize
Personalized Rehabilitation nursing service and comprehensive, active, effective management are provided for the slow disease user of different conditions,
As there is the problem of to be solved.
The content of the invention
It is an object of the invention to provide a kind of comprehensive care platform, the method and storage medium of comprehensive care, it is intended to pin
Personalized Rehabilitation nursing service and comprehensive, active, effective management are provided to the slow disease user of different conditions.
To achieve the above object, the present invention provides a kind of comprehensive care platform, and the comprehensive care platform includes：Storage
Device, processor and the comprehensive care program that can be run on the memory and on the processor is stored in, the comprehensive shield
Reason program realizes following steps when being performed by the processor：
S1, obtains the case data of user, determines that the case data of user are corresponding based on predetermined classified voting algorithm
The state of an illness grade of user；
S2, the state of an illness grade of user is inputted into the comprehensive care path feature models built in advance, obtains output
User characteristics unit；
S3, the nursing activity based on the state of an illness grade of the user characteristics unit and user configuration user.
Preferably, the predetermined classified voting algorithm is the Hybrid Classification Algorithm with reference to decision tree and support vector machines,
The step S1 includes：
The case data of user are inputted into the decision tree classifier built in advance and obtain the first classification knot of output
Fruit and classification accuracy；
The case data of user are inputted into the support vector machine classifier built in advance and obtain second point of output
Class result and classification accuracy；
Vote first classification results and classification accuracy, second classification results and classification accuracy,
The highest classification results of poll and classification accuracy are chosen, to determine the state of an illness grade of user.
Preferably, structure comprehensive care path feature models include in advance：
Obtain the corresponding nursing feature of each state of an illness species, and obtain the nursing characteristic attribute of feature, signature identification and
The characteristic relation between feature is nursed, oriented nothing is built based on nursing feature, characteristic attribute, signature identification and the characteristic relation
Ring graph model, constructed comprehensive care path feature models are used as using the directed acyclic graph model；
Wherein, characteristic attribute includes mandatory attribute and optional attribute, and the characteristic relation nursed between feature is closed including structure
System and dependence, the structural relation include exploded relationship, specialization relation and implementation relation, and the dependence includes needing
Relation and mutex relation.
Preferably, the set of the user characteristics unit including all mandatory features unit MFU and several dynamically match somebody with somebody
The set of cells D CU is put, the mandatory features unit MFU is the feature unit organized by all mandatory features, described
Dynamic configuration cells D CU is the feature unit that root is characterized as optional feature, and the nursing with mandatory attribute is characterized as mandatory features,
Nursing with optional attribute is characterized as optional feature, and the step S3 includes：
Nursing activity collection I is obtained based on the user characteristics unit, nursing activity collection I is initialized as to force nursing activity
Collect M；
Identified according to the state of an illness grade of user and force nursing activity collection M, to obtain optional nursing activity collection C；
Nursing activity collection I, I=M ∪ C are updated, are lived using the nursing activity collection I after renewal as the nursing of the user configured
It is dynamic.
To achieve the above object, the present invention also provides a kind of method of comprehensive care, the method for the comprehensive care to include：
S1, obtains the case data of user, determines that the case data of user are corresponding based on predetermined classified voting algorithm
The state of an illness grade of user；
S2, the state of an illness grade of user is inputted into the comprehensive care path feature models built in advance, obtains output
User characteristics unit；
S3, the nursing activity based on the state of an illness grade of the user characteristics unit and user configuration user.
Preferably, the predetermined classified voting algorithm is the Hybrid Classification Algorithm with reference to decision tree and support vector machines,
The step S1 includes：
The case data of user are inputted into the decision tree classifier built in advance and obtain the first classification knot of output
Fruit and classification accuracy；
The case data of user are inputted into the support vector machine classifier built in advance and obtain second point of output
Class result and classification accuracy；
Vote first classification results and classification accuracy, second classification results and classification accuracy,
The highest classification results of poll and classification accuracy are chosen, to determine the state of an illness grade of user.
Preferably, structure comprehensive care path feature models include in advance：
Obtain the corresponding nursing feature of each state of an illness species, and obtain the nursing characteristic attribute of feature, signature identification and
The characteristic relation between feature is nursed, oriented nothing is built based on nursing feature, characteristic attribute, signature identification and the characteristic relation
Ring graph model, constructed comprehensive care path feature models are used as using the directed acyclic graph model；
Wherein, characteristic attribute includes mandatory attribute and optional attribute, and the characteristic relation nursed between feature is closed including structure
System and dependence, the structural relation include exploded relationship, specialization relation and implementation relation, and the dependence includes needing
Relation and mutex relation.
Preferably, the set of the user characteristics unit including all mandatory features unit MFU and several dynamically match somebody with somebody
The set of cells D CU is put, the mandatory features unit MFU is the feature unit organized by all mandatory features, described
Dynamic configuration cells D CU is the feature unit that root is characterized as optional feature, and the nursing with mandatory attribute is characterized as mandatory features,
Nursing with optional attribute is characterized as optional feature, and the step S3 includes：
Nursing activity collection I is obtained based on the user characteristics unit, nursing activity collection I is initialized as to force nursing activity
Collect M；
Identified according to the state of an illness grade of user and force nursing activity collection M, to obtain optional nursing activity collection C；
Nursing activity collection I, I=M ∪ C are updated, are lived using the nursing activity collection I after renewal as the nursing of the user configured
It is dynamic.
The present invention also provides a kind of computer-readable recording medium, synthesis is stored with the computer-readable recording medium
The step of care program, the comprehensive care program realizes the method for above-mentioned comprehensive care when being executed by processor.
The beneficial effects of the invention are as follows：The present invention proposes a kind of new chronic diseases management thinking and pattern, i.e. comprehensive care road
Footpath, the state of an illness grade of user, and the use obtained based on comprehensive assessment are obtained by carrying out comprehensive assessment to the condition of user
The state of an illness grade at family is the family care comprehensive care scheme and the rational nursing care plan of offer of user configuration personalization, realizes pin
Comprehensive, active, effective management are provided to the slow sick user of different conditions, improves the nursing compliance of patient.
Brief description of the drawings
Fig. 1 is each optional application environment schematic diagram of embodiment one of the present invention；
Fig. 2 is the schematic diagram of the hardware structure of one embodiment of comprehensive care platform in Fig. 1；
Fig. 3 is that the state of an illness grade for being determined based on predetermined classified voting algorithm the corresponding user of case data of user is shown
It is intended to；
Fig. 4 is the structure diagram for the comprehensive care path feature models that the present invention is built by taking chronic obstructive pulmonary disease as an example；
Fig. 5 is the flow diagram of one embodiment of method of comprehensive care of the present invention.
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, with reference to the accompanying drawings and embodiments, it is right
The present invention is further elaborated.It should be appreciated that specific embodiment described herein is only to explain the present invention, not
For limiting the present invention.Based on the embodiments of the present invention, those of ordinary skill in the art are not before creative work is made
All other embodiments obtained are put, belong to the scope of protection of the invention.
It should be noted that the description for being related to " first ", " second " etc. in the present invention is only used for description purpose, and cannot
It is interpreted as indicating or implies its relative importance or imply the quantity of the technical characteristic indicated by indicating.Thus, define " the
One ", at least one this feature can be expressed or be implicitly included to the feature of " second ".In addition, the skill between each embodiment
Art scheme can be combined with each other, but must can be implemented as basis with those of ordinary skill in the art, when technical solution
It will be understood that the combination of this technical solution is not present with reference to there is conflicting or can not realize when, also not in application claims
Protection domain within.
As shown in fig.1, it is the application environment schematic diagram of the preferred embodiment of the method for comprehensive care of the present invention.The application
Environment schematic includes comprehensive care platform 1 and family/community rehabilitation's nursing unit 2.Comprehensive care platform 1 can pass through network
Data interaction is carried out Deng suitable technology and family/community rehabilitation's nursing unit 2.
The family/community rehabilitation's nursing unit 2 includes, gateway, the smart mobile phone being connected with gateway, environmental monitoring portion
Point, body area network part and treatment mesh portions, smart mobile phone, environmental monitoring part, body area network part and treatment mesh portions are by user
Relevant comprehensive care platform is transmitted to by gateway using data.Wherein, environmental monitoring part include air-conditioning, camera,
Probe, air purifier and humidifier etc., body area network part include the wearable devices such as intelligent wristwatch, arteries and veins oxygen instrument, treat wet end
Dividing includes noninvasive ventilator, giving smoking-stopping instrument, Domestic oxygen erator and lung function instrument etc..
The comprehensive care platform 1 be it is a kind of can be automatic to carry out numerical value meter according to the instruction for being previously set or storing
Calculation and/or the equipment of information processing.The comprehensive care platform 1 can be computer, can also be single network server, be more
The server group of a webserver composition either cloud being made of a large amount of hosts or the webserver based on cloud computing, its
Middle cloud computing is one kind of Distributed Calculation, a super virtual computer being made of the computer collection of a group loose couplings.
In the present embodiment, comprehensive care platform 1 may include, but be not limited only to, and company can be in communication with each other by system bus
Memory 11, processor 12, the network interface 13 connect, memory 11 are stored with the comprehensive care system that can be run on the processor 12
System.It is pointed out that Fig. 1 illustrate only the comprehensive care platform 1 with component 11-13, it should be understood that simultaneously should not
Realistic to apply all components shown, what can be substituted implements more or less components.
Wherein, memory 11 includes memory and the readable storage medium storing program for executing of at least one type.Inside save as comprehensive care platform 1
Operation provide caching；Readable storage medium storing program for executing can be if flash memory, hard disk, multimedia card, card-type memory are (for example, SD or DX are deposited
Reservoir etc.), random access storage device (RAM), static random-access memory (SRAM), read-only storage (ROM), electric erasable
Programmable read only memory (EEPROM), programmable read only memory (PROM), magnetic storage, disk, CD etc. it is non-easily
The property lost storage medium.In certain embodiments, readable storage medium storing program for executing can be the internal storage unit of comprehensive care platform 1, example
Such as hard disk of the comprehensive care platform 1；In further embodiments, which can also be that comprehensive care is put down
The plug-in type hard disk being equipped with the External memory equipment of platform 1, such as comprehensive care platform 1, intelligent memory card (Smart Media
Card, SMC), secure digital (Secure Digital, SD) card, flash card (Flash Card) etc..In the present embodiment, storage
The readable storage medium storing program for executing of device 11 is installed on the operating system and types of applications software of comprehensive care platform 1, example commonly used in storage
The program code of comprehensive care system in such as one embodiment of the invention.In addition, memory 11 can be also used for temporarily depositing
Store up the Various types of data that has exported or will export.
The processor 12 can be in certain embodiments central processing unit (Central ProcessingUnit,
CPU), controller, microcontroller, microprocessor or other data processing chips.The processor 12 is described comprehensive commonly used in controlling
The overall operation of care platform 1 is closed, such as performs and carries out data friendship with the gateway in the family/community rehabilitation's nursing unit 2
The relevant control of mutual or communication and processing etc..In the present embodiment, the processor 12 is used to run in the memory 11 to deposit
The program code or processing data of storage, such as operation comprehensive care system etc..
The network interface 13 may include radio network interface or wired network interface, which is commonly used in
Communication connection is established between the comprehensive care platform 1 and other electronic equipments.In the present embodiment, network interface 13 is mainly used for
Comprehensive care platform 1 is connected with the gateway in family/community rehabilitation's nursing unit 2, in comprehensive care platform 1 and family/society
Data transmission channel and communication connection are established between gateway in area's rehabilitation nursing unit 2.
The comprehensive care system is stored in memory 11, including at least one computer being stored in memory 11
Readable instruction, at least one computer-readable instruction can be performed by processor device 12, to realize the side of each embodiment of the application
Method；And at least one computer-readable instruction is different according to the function that its each several part is realized, can be divided into different patrol
Collect module.
In one embodiment, following steps are realized when above-mentioned comprehensive care system is performed by the processor 12：
Step S1, obtains the case data of user, and the case data pair of user are determined based on predetermined classified voting algorithm
The state of an illness grade of the user answered；
The present embodiment can be applied in the various diseases for needing to carry out comprehensive care, according to the case data of user
Determine the disease that user is suffered from.The number that the case data of user are collected using family/community rehabilitation's nursing unit 2
According to further including and make a definite diagnosis data that Shi doctor is recorded in case etc..
Wherein, predetermined classified voting algorithm can be support vector machines multi-class classification method, can also be with reference to decision-making
Tree and the Hybrid Classification Algorithm of support vector machines, it is preferable that in order to limit decision error, while meet the high precision of comprehensive assessment
Degree demand, the present embodiment use the Hybrid Classification Algorithm with reference to decision tree and support vector machines, to determine the case data of user
The state of an illness grade of corresponding user.
With reference to refering to Fig. 3, the case data of the part collected for family/community rehabilitation's nursing unit 2 are by pre-
Processing, feature extraction, isomeric data are merged, inputted respectively in the decision tree classifier and support vector cassification built in advance,
Classification results, the classification accuracy exported to decision tree classifier and support vector cassification is combined ballot, obtains ballot paper
Classification of the highest classification as the state of an illness grade for confirming user.
Wherein, it is necessary to which case data are carried out with deletion low frequency, remove high-frequency noise and carries out QRS in preprocessing process
Detection etc.；In classification, its process builds grader using the case data of the other users of magnanimity, to utilize classification
Device finds out the case data closest with the case data of the user, for decision tree classifier, it is necessary to select child node, structure
Make decision tree and calculate classification accuracy, for support vector machine classifier, it is necessary to construct SVM classifier, find it is maximum super flat
Face and calculating classification accuracy.
Step S2, the state of an illness grade of user is inputted into the comprehensive care path feature models built in advance, is obtained defeated
The user characteristics unit gone out；
In the present embodiment, in order to realize according to the state of an illness grade dynamic configuration nursing activity of user and corresponding function, need
The Domain Analysis Method of Feature Oriented is used, is identified between all nursing features in comprehensive care path and nursing feature
Restriction relation, build comprehensive care path feature models.
Preferably, structure comprehensive care path feature models include in advance：The corresponding nursing feature of each state of an illness species is obtained,
And obtain the characteristic relation between the characteristic attribute, signature identification and nursing feature of the nursing feature.
Wherein, each disease corresponds to a comprehensive care path feature models, by taking chronic obstructive pulmonary disease as an example, the comprehensive shield of structure
Manage path feature models as shown in figure 4, each node for one nursing feature, wherein, first, definition nursing feature：Nurse feature
Being represented with a triple F=(FName, C, S), FName is the title of nursing feature, and C represents the characteristic attribute of nursing feature,
C∈{MC,OC}；S represents signature identification, and S ∈ { 0,1 }, S represent that the nursing feature is corresponding with nursing activity for 1, and S represents for 0 should
It is not corresponding with nursing activity to nurse feature.
In comprehensive care path feature models, characteristic attribute includes mandatory attribute (MC) and optional attribute (OC), has
The nursing feature of mandatory attribute is known as mandatory features, and the nursing feature with optional attribute is known as optional feature.Mandatory features
(Mandatory Feature, MF) refers to that it must also be chosen when its father's feature is chosen.Optional feature
(Optional Feature, OF) refers to that it may selected feature when its father's feature is chosen.
Characteristic relation between nursing feature contains two class relations, and one kind is that structural relation is another kind of, is to rely on to close
System：
1) structural relation：The external structure of nursing feature is contained in structural relation, these structures constitute nursing feature
Between hierarchical structure so as to form characteristic model.All nursing features can be by the structural relation of feature into traveling
One step decomposes refinement.Nurse three kinds of structures of the contextual definition between feature：Decompose (Resolve), specialization (Specialize),
Realize (Implement)：
(1) exploded relationship：The exploded relationship between feature is nursed, is expressed as the decomposition to father's feature, i.e. father's feature decomposition
It is made of afterwards the subcharacter of multiple mutual exclusions, can so (F be father's feature to Expressive Features exploded relationship, and Fi is the son of father's feature
Feature)：
F=F1 ∩ F2 ∩ F3 ∩ ... Fn andAnd
Exploded relationship is step by step to refine nursing feature, is to a nursing feature by original abstraction hierarchy dimensionality reduction
It is described in more detail.Subcharacter is characterized in entirety and partial relation with father.It so naturally form the level knot of feature
Structure.The top layer of hierarchical structure is gradually refinement after one or more features, and the exploded relationship of nursing feature is represented with " → ".Often
One subcharacter is all the subset of father's feature, and subcharacter is characterized in part and overall relation with father.Here it is nursing feature it
Between exploded relationship.
(2) specialization relation：Specialization relation between nursing feature is expressed as the specialization to father's feature, i.e., after father's feature specialization
It is made of multiple subcharacters there are intersection, and these subcharacters are owned by the characteristic of father's feature, similar in object-oriented
Inheritance, and possess special characteristic on the basis of succession, that is, herid partially.Can so Expressive Features specialization close
System：
And
Specialization relation has been similarly formed the hierarchical relationship of feature with exploded relationship, usesRepresent specialization relation.In spy
Change relation neutron is characterized as the superset of father's feature.
(3) implementation relation：Nursing feature between implementation relation be expressed as technical characteristic (be to some or certain it is a series of
A kind of implementation of service features) to certain class service features (service features be system is provided, can clearly express, use
The description of the visible service in family) or non-functional realization, it is a kind of relation for connecting different type feature, uses symbol
Represent implementation relation.
(4) characteristic model hierarchical structure：Decompose and specialization is the hierarchical relationship having between same category attributive character, and
Implementation relation is then the relation between different classifications attributive character.It may be said that some technical characteristic realizes some functional character.
Specifically, it can use to decompose between same type of feature and be analyzed with specialization, between different type feature (such as：Clothes
Business feature and technical characteristic) analyzed using realization.
2) dependence：The dependence of nursing feature ensure that the uniformity of model.Dependence is divided into two classes：Need
(Require) and mutual exclusion (Exclude).This two classes relation is similar with structural relation between features described above, but also variant：Level
Relation and mutex relation is needed not to have the constraint of position between structural features, actually they can be entirely different level
On member.Need relation and mutex relation similar with decomposition and specialization, be the relation between same category attributive character.It is different
This relation is not present in the feature of categorical attribute.
(1) relation is needed：Many features in product line closely link together, it is necessary to two nursing of relationship expression
The dependence of feature.One feature need the appearance of another feature and presence, it is necessary to which relation usesTo represent to need
It is related to.
(2) mutex relation：It is incompatible that mutex relation illustrates that two nursing are characterized in：Two spies in mutex relation
Sign is to be selected at the same time into identical product, is usedTo represent mutex relation.
Directed acyclic graph model is built based on above-mentioned nursing feature, characteristic attribute, signature identification and characteristic relation, with structure
The directed acyclic graph model built as constructed comprehensive care path feature models, then by the state of an illness grade of user input to
In the comprehensive care path feature models, the user characteristics unit of output is obtained.
Wherein, user characteristics unit is all feature units (feature unit (Feature for a certain specific user configuration
Unit, FU) be in a model one group have hierarchical relationship nursing feature form set) set, it include own
The set of the set of mandatory features unit MFU and several dynamic configuration cells Ds CU, mandatory features unit MFU is passes through
There is the feature unit that mandatory features are organized, its expression formula is：Dynamic configuration cells D CU is the feature that root is characterized as optional feature
Unit, its expression formula are：Therefore, user characteristics unit bag
The set of set and several dynamic configuration units containing all mandatory features units, its formalization representation are：
UFU=EMFU∪DCUi∪DCUj,
By comprehensive care path feature models, easily for the corresponding user characteristics unit of a certain user's dynamic configuration,
Realize the dynamic configuration to user's required function, on the basis of all functions needed for user are met, eliminate because of nonessential work(
The extra cost that the bad user experience and reduction purchase that can be brought are brought with nonessential function corollary equipment.
Step S3, the nursing activity based on the state of an illness grade of the user characteristics unit and user configuration user.
In this present embodiment, the dynamic configuration to realize nursing activity, then firstly the need of in comprehensive care route characteristic
Identified in model with the corresponding nursing feature of nursing activity, clinical domain knowledge base is then based on, according to the state of an illness of user
The corresponding nursing activity of grade L dynamic configurations.Nursing activity collection meets：
Preferably, the process of dynamic configuration nursing activity is as follows：
Nursing activity collection I is initialized as first to force nursing activity collection M,
Confirm the state of an illness grade L of user, optional nursing activity collection C identified according to the state of an illness grade L of user,
Nursing activity collection I, I=M ∪ C are updated, are lived using the nursing activity collection I after renewal as the nursing of the user configured
It is dynamic.
By above-mentioned mode, the dynamic configuration to nursing activity is realized, be preferably user service.
Compared with prior art, the present embodiment proposes a kind of new chronic diseases management thinking and pattern, i.e. comprehensive care path,
The state of an illness grade of user is obtained by carrying out comprehensive assessment to the condition of user, and the user obtained based on comprehensive assessment
State of an illness grade is the family care comprehensive care scheme and the rational nursing care plan of offer of user configuration personalization, is realized for not
Slow sick user with condition provides comprehensive, active, effective management, improves the nursing compliance of patient.
As shown in figure 5, Fig. 5 is the flow diagram of one embodiment of method of comprehensive care of the present invention, the comprehensive care
Method comprises the following steps：
Step S1, obtains the case data of user, and the case data pair of user are determined based on predetermined classified voting algorithm
The state of an illness grade of the user answered；
The present embodiment can be applied in the various diseases for needing to carry out comprehensive care, according to the case data of user
Determine the disease that user is suffered from.The data that the case data of user are collected using family/community rehabilitation's nursing unit,
Further include and make a definite diagnosis data that Shi doctor is recorded in case etc..
Wherein, predetermined classified voting algorithm can be support vector machines multi-class classification method, can also be with reference to decision-making
Tree and the Hybrid Classification Algorithm of support vector machines, it is preferable that in order to limit decision error, while meet the high precision of comprehensive assessment
Degree demand, the present embodiment use the Hybrid Classification Algorithm with reference to decision tree and support vector machines, to determine the case data of user
The state of an illness grade of corresponding user.
With reference to refering to Fig. 3, the case data of the part collected for family/community rehabilitation's nursing unit are by pre- place
Reason, feature extraction, isomeric data are merged, inputted respectively in the decision tree classifier and support vector cassification built in advance, right
Decision tree classifier and classification results, the classification accuracy of support vector cassification output are combined ballot, obtain ballot paper most
Classification of the high classification as the state of an illness grade for confirming user.
Wherein, it is necessary to which case data are carried out with deletion low frequency, remove high-frequency noise and carries out QRS in preprocessing process
Detection etc.；In classification, its process builds grader using the case data of the other users of magnanimity, to utilize classification
Device finds out the case data closest with the case data of the user, for decision tree classifier, it is necessary to select child node, structure
Make decision tree and calculate classification accuracy, for support vector machine classifier, it is necessary to construct SVM classifier, find it is maximum super flat
Face and calculating classification accuracy.
Step S2, the state of an illness grade of user is inputted into the comprehensive care path feature models built in advance, is obtained defeated
The user characteristics unit gone out；
In the present embodiment, in order to realize according to the state of an illness grade dynamic configuration nursing activity of user and corresponding function, need
The Domain Analysis Method of Feature Oriented is used, is identified between all nursing features in comprehensive care path and nursing feature
Restriction relation, build comprehensive care path feature models.
Preferably, structure comprehensive care path feature models include in advance：The corresponding nursing feature of each state of an illness species is obtained,
And obtain the characteristic relation between the characteristic attribute, signature identification and nursing feature of the nursing feature.
Wherein, each disease corresponds to a comprehensive care path feature models, by taking chronic obstructive pulmonary disease as an example, the comprehensive shield of structure
Manage path feature models as shown in figure 4, each node for one nursing feature, wherein, first, definition nursing feature：Nurse feature
Being represented with a triple F=(FName, C, S), FName is the title of nursing feature, and C represents the characteristic attribute of nursing feature,
C∈{MC,OC}；S represents signature identification, and S ∈ { 0,1 }, S represent that the nursing feature is corresponding with nursing activity for 1, and S represents for 0 should
It is not corresponding with nursing activity to nurse feature.
In comprehensive care path feature models, characteristic attribute includes mandatory attribute (MC) and optional attribute (OC), has
The nursing feature of mandatory attribute is known as mandatory features, and the nursing feature with optional attribute is known as optional feature.Mandatory features
(Mandatory Feature, MF) refers to that it must also be chosen when its father's feature is chosen.Optional feature
(Optional Feature, OF) refers to that it may selected feature when its father's feature is chosen.
Characteristic relation between nursing feature contains two class relations, and one kind is that structural relation is another kind of, is to rely on to close
System：
1) structural relation：The external structure of nursing feature is contained in structural relation, these structures constitute nursing feature
Between hierarchical structure so as to form characteristic model.All nursing features can be by the structural relation of feature into traveling
One step decomposes refinement.Nurse three kinds of structures of the contextual definition between feature：Decompose (Resolve), specialization (Specialize),
Realize (Implement)：
(1) exploded relationship：The exploded relationship between feature is nursed, is expressed as the decomposition to father's feature, i.e. father's feature decomposition
It is made of afterwards the subcharacter of multiple mutual exclusions, can so (F be father's feature to Expressive Features exploded relationship, and Fi is the son of father's feature
Feature)：
F=F1 ∩ F2 ∩ F3 ∩ ... Fn andAnd
Exploded relationship is step by step to refine nursing feature, is to a nursing feature by original abstraction hierarchy dimensionality reduction
It is described in more detail.Subcharacter is characterized in entirety and partial relation with father.It so naturally form the level knot of feature
Structure.The top layer of hierarchical structure is gradually refinement after one or more features, and the exploded relationship of nursing feature is represented with " → ".Often
One subcharacter is all the subset of father's feature, and subcharacter is characterized in part and overall relation with father.Here it is nursing feature it
Between exploded relationship.
(2) specialization relation：Specialization relation between nursing feature is expressed as the specialization to father's feature, i.e., after father's feature specialization
It is made of multiple subcharacters there are intersection, and these subcharacters are owned by the characteristic of father's feature, similar in object-oriented
Inheritance, and possess special characteristic on the basis of succession, that is, herid partially.Can so Expressive Features specialization close
System：
And
Specialization relation has been similarly formed the hierarchical relationship of feature with exploded relationship, usesRepresent specialization relation.In spy
Change relation neutron is characterized as the superset of father's feature.
(3) implementation relation：Nursing feature between implementation relation be expressed as technical characteristic (be to some or certain it is a series of
A kind of implementation of service features) to certain class service features (service features be system is provided, can clearly express, use
The description of the visible service in family) or non-functional realization, it is a kind of relation for connecting different type feature, uses symbol
Represent implementation relation.
(4) characteristic model hierarchical structure：Decompose and specialization is the hierarchical relationship having between same category attributive character, and
Implementation relation is then the relation between different classifications attributive character.It may be said that some technical characteristic realizes some functional character.
Specifically, it can use to decompose between same type of feature and be analyzed with specialization, between different type feature (such as：Clothes
Business feature and technical characteristic) analyzed using realization.
2) dependence：The dependence of nursing feature ensure that the uniformity of model.Dependence is divided into two classes：Need
(Require) and mutual exclusion (Exclude).This two classes relation is similar with structural relation between features described above, but also variant：Level
Relation and mutex relation is needed not to have the constraint of position between structural features, actually they can be entirely different level
On member.Need relation and mutex relation similar with decomposition and specialization, be the relation between same category attributive character.It is different
This relation is not present in the feature of categorical attribute.
(1) relation is needed：Many features in product line closely link together, it is necessary to two nursing of relationship expression
The dependence of feature.One feature need the appearance of another feature and presence, it is necessary to which relation usesTo represent to need
It is related to.
(2) mutex relation：It is incompatible that mutex relation illustrates that two nursing are characterized in：Two spies in mutex relation
Sign is to be selected at the same time into identical product, is usedTo represent mutex relation.
Directed acyclic graph model is built based on above-mentioned nursing feature, characteristic attribute, signature identification and characteristic relation, with structure
The directed acyclic graph model built as constructed comprehensive care path feature models, then by the state of an illness grade of user input to
In the comprehensive care path feature models, the user characteristics unit of output is obtained.
Wherein, user characteristics unit is all feature units (feature unit (Feature for a certain specific user configuration
Unit, FU) be in a model one group have hierarchical relationship nursing feature form set) set, it include own
The set of the set of mandatory features unit MFU and several dynamic configuration cells Ds CU, mandatory features unit MFU is passes through
There is the feature unit that mandatory features are organized, its expression formula is：Dynamic configuration cells D CU is the feature that root is characterized as optional feature
Unit, its expression formula are：Therefore, user characteristics unit bag
The set of set and several dynamic configuration units containing all mandatory features units, its formalization representation are：
UFU=EMFU∪DCUi∪DCUj,
By comprehensive care path feature models, easily for the corresponding user characteristics unit of a certain user's dynamic configuration,
Realize the dynamic configuration to user's required function, on the basis of all functions needed for user are met, eliminate because of nonessential work(
The extra cost that the bad user experience and reduction purchase that can be brought are brought with nonessential function corollary equipment.
Step S3, the nursing activity based on the state of an illness grade of the user characteristics unit and user configuration user.
In this present embodiment, the dynamic configuration to realize nursing activity, then firstly the need of in comprehensive care route characteristic
Identified in model with the corresponding nursing feature of nursing activity, clinical domain knowledge base is then based on, according to the state of an illness of user
The corresponding nursing activity of grade L dynamic configurations.Nursing activity collection meets：
Preferably, the process of dynamic configuration nursing activity is as follows：
Nursing activity collection I is initialized as first to force nursing activity collection M,
Confirm the state of an illness grade L of user, optional nursing activity collection C identified according to the state of an illness grade L of user,
Nursing activity collection I, I=M ∪ C are updated, are lived using the nursing activity collection I after renewal as the nursing of the user configured
It is dynamic.
By above-mentioned mode, the dynamic configuration to nursing activity is realized, be preferably user service.
Compared with prior art, the present embodiment proposes a kind of new chronic diseases management thinking and pattern, i.e. comprehensive care path,
The state of an illness grade of user is obtained by carrying out comprehensive assessment to the condition of user, and the user obtained based on comprehensive assessment
State of an illness grade is the family care comprehensive care scheme and the rational nursing care plan of offer of user configuration personalization, is realized for not
Slow sick user with condition provides comprehensive, active, effective management, improves the nursing compliance of patient.
The present invention also provides a kind of computer-readable recording medium, synthesis is stored with the computer-readable recording medium
The step of care program, the comprehensive care program realizes the method for above-mentioned comprehensive care when being executed by processor.
The embodiments of the present invention are for illustration only, do not represent the quality of embodiment.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can add the mode of required general hardware platform to realize by software, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on such understanding, technical scheme substantially in other words does the prior art
Going out the part of contribution can be embodied in the form of software product, which is stored in a storage medium
In (such as ROM/RAM, magnetic disc, CD), including some instructions are used so that a station terminal equipment (can be mobile phone, computer, takes
Be engaged in device, air conditioner, or network equipment etc.) perform method described in each embodiment of the present invention.
It these are only the preferred embodiment of the present invention, be not intended to limit the scope of the invention, it is every to utilize this hair
The equivalent structure or equivalent flow shift that bright specification and accompanying drawing content are made, is directly or indirectly used in other relevant skills
Art field, is included within the scope of the present invention.
Claims (9)
1. a kind of comprehensive care platform, it is characterised in that the comprehensive care platform includes：Memory, processor and it is stored in
On the memory and the comprehensive care program that can run on the processor, the comprehensive care program is by the processor
Following steps are realized during execution：
S1, obtains the case data of user, and the corresponding user of case data of user is determined based on predetermined classified voting algorithm
State of an illness grade；
S2, the state of an illness grade of user is inputted into the comprehensive care path feature models built in advance, obtains the user of output
Feature unit；
S3, the nursing activity based on the state of an illness grade of the user characteristics unit and user configuration user.
2. comprehensive care platform according to claim 1, it is characterised in that the predetermined classified voting algorithm is combination
Decision tree and the Hybrid Classification Algorithm of support vector machines, the step S1 include：
By the case data of user input into the decision tree classifier built in advance and obtain output the first classification results and
Classification accuracy；
The case data of user are inputted into the support vector machine classifier built in advance and obtain the second classification knot of output
Fruit and classification accuracy；
Vote first classification results and classification accuracy, second classification results and classification accuracy, choose
The highest classification results of poll and classification accuracy, to determine the state of an illness grade of user.
3. comprehensive care platform according to claim 1 or 2, it is characterised in that structure comprehensive care route characteristic in advance
Model includes：
The corresponding nursing feature of each state of an illness species is obtained, and obtains characteristic attribute, signature identification and the nursing of the nursing feature
Characteristic relation between feature, based on the nursing feature, characteristic attribute, signature identification and characteristic relation structure directed acyclic graph
Model, constructed comprehensive care path feature models are used as using the directed acyclic graph model；
Wherein, characteristic attribute includes mandatory attribute and optional attribute, nurse the characteristic relation between feature include structural relation and
Dependence, the structural relation include exploded relationship, specialization relation and implementation relation, and the dependence includes needing relation
And mutex relation.
4. comprehensive care platform according to claim 3, it is characterised in that the user characteristics unit includes all pressures
The set of the set of feature unit MFU and several dynamic configuration cells Ds CU, the mandatory features unit MFU is passes through
There is the feature unit that mandatory features are organized, the dynamic configuration cells D CU is the feature unit that root is characterized as optional feature,
Nursing with mandatory attribute is characterized as mandatory features, and the nursing with optional attribute is characterized as optional feature, the step S3
Including：
Nursing activity collection I is obtained based on the user characteristics unit, nursing activity collection I is initialized as to force nursing activity collection M；
Identified according to the state of an illness grade of user and force nursing activity collection M, to obtain optional nursing activity collection C；
Nursing activity collection I, I=M ∪ C are updated, the nursing activity of the user configured is used as using the nursing activity collection I after renewal.
A kind of 5. method of comprehensive care, it is characterised in that the method for the comprehensive care includes：
S1, obtains the case data of user, and the corresponding user of case data of user is determined based on predetermined classified voting algorithm
State of an illness grade；
S2, the state of an illness grade of user is inputted into the comprehensive care path feature models built in advance, obtains the user of output
Feature unit；
S3, the nursing activity based on the state of an illness grade of the user characteristics unit and user configuration user.
6. the method for comprehensive care according to claim 5, it is characterised in that the predetermined classified voting algorithm is knot
The Hybrid Classification Algorithm of decision tree and support vector machines is closed, the step S1 includes：
By the case data of user input into the decision tree classifier built in advance and obtain output the first classification results and
Classification accuracy；
The case data of user are inputted into the support vector machine classifier built in advance and obtain the second classification knot of output
Fruit and classification accuracy；
Vote first classification results and classification accuracy, second classification results and classification accuracy, choose
The highest classification results of poll and classification accuracy, to determine the state of an illness grade of user.
7. the method for the comprehensive care according to claim 5 or 6, it is characterised in that structure comprehensive care path is special in advance
Sign model includes：
The corresponding nursing feature of each state of an illness species is obtained, and obtains characteristic attribute, signature identification and the nursing of the nursing feature
Characteristic relation between feature, based on the nursing feature, characteristic attribute, signature identification and characteristic relation structure directed acyclic graph
Model, constructed comprehensive care path feature models are used as using the directed acyclic graph model；
Wherein, characteristic attribute includes mandatory attribute and optional attribute, nurse the characteristic relation between feature include structural relation and
Dependence, the structural relation include exploded relationship, specialization relation and implementation relation, and the dependence includes needing relation
And mutex relation.
8. the method for comprehensive care according to claim 7, it is characterised in that the user characteristics unit includes all strong
The set of the set of feature unit MFU processed and several dynamic configuration cells Ds CU, the mandatory features unit MFU are to pass through
The feature unit that all mandatory features are organized, the dynamic configuration cells D CU are the feature list that root is characterized as optional feature
Member, the nursing with mandatory attribute are characterized as mandatory features, and the nursing with optional attribute is characterized as optional feature, the step
S3 includes：
Nursing activity collection I is obtained based on the user characteristics unit, nursing activity collection I is initialized as to force nursing activity collection M；
Identified according to the state of an illness grade of user and force nursing activity collection M, to obtain optional nursing activity collection C；
Nursing activity collection I, I=M ∪ C are updated, the nursing activity of the user configured is used as using the nursing activity collection I after renewal.
9. a kind of computer-readable recording medium, it is characterised in that comprehensive shield is stored with the computer-readable recording medium
Program is managed, the comprehensive care as any one of claim 5 to 8 is realized when the comprehensive care program is executed by processor
Method the step of.
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