CN109599180A - A kind of personalized customization method and system based on disease circle data information - Google Patents
A kind of personalized customization method and system based on disease circle data information Download PDFInfo
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- 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
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- 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
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Abstract
The present invention provides a kind of personalized customization method and system based on disease circle data information, include the following steps: to establish medical information ontology Medical Ontology database, creation one using drug electronic mark code as the Hash table MO hash of corresponding MO terms in the storage MO database of key code；Disease circle is created, the individual member of disease circle proposes personalized customization requirement；Disease circle requires matching doctor member and nutritionist member to provide disease control scheme according to personalized customization.By means of the present invention, a kind of personalized customization method and system based on disease circle data information is established, provides the method for personalized customization for disease autodiagnosis information platform, provides technical support for the personalized treatment and maintenance of sufferer.
Description
Technical field
The invention belongs to computerized information fields, and it is fixed to especially relate to a kind of personalization based on disease circle data information
Method and system processed.
Background technique
Quickly, life stress is also very big, this is just that the health of people is brought very for people's lives rhythm at this stage
More secret worries.Once people's health goes wrong, first choice is hospital, but the people seen a doctor in hospital seems eternal right and wrong again
Chang Duo, even some small symptom, the process entirely seen a doctor, which is got off, to be taken a lot of time；And if when people feel to delay
Between, be unwilling hospital, only buys a little medicines according to the experience of oneself and takes, and is possible to miss golden hour again in this way, indulge in
The accidentally state of an illness.
Based on this phenomenon, if it is possible to have the information platform for helping people to carry out disease autodiagnosis, it will to people
Huge help is generated, people first can carry out just the sufferer of oneself by the content of information platform, in conjunction with the situation of itself
The judgement of phase, symptom are slight, can be carried out according to the content of information platform self it is simple treat, the dangerous development of symptom
When trend, then go hospitalize.
Help people as establishing one carry out the information platform of disease autodiagnosis, need a perfect medicine letter
Database is ceased, just can guarantee the accuracy of autodiagnosis, when people can be helped to save the time and delaying the optimal treatment of disease
Between.
After having perfect medical information database, how to help it has been proposed that the personalized customization of individual is wanted
The problem of asking, personalized specific disease control scheme provided including help people, becomes current urgent need to resolve.
Summary of the invention
The problem to be solved in the present invention is to design a kind of personalized customization method and system based on disease circle data information,
The method of personalized customization is provided for disease autodiagnosis information platform, provides technical support for the personalized treatment of sufferer.
In order to achieve the above object, the technical scheme adopted by the invention is as follows:
A kind of personalized customization method based on disease circle data information, includes the following steps:
(1) medical information ontology (Medical Ontology) database, i.e. MO database are established；By disease and its feature
It is numbered with MO terms；Each MO terms represents a vertex, and the relationship between two terms is indicated with directed edge,
Disease and symptom are indicated in a directed acyclic graph in this way；
(2) one is created using drug electronic mark code as the Kazakhstan of corresponding MO terms in the storage MO database of key code
Uncommon table MO hash；
(3) disease circle is created, the treatment information provided according to every sufferer, comprising:
Each sufferer provides disease stage locating for itself sufferer, including just suffers from, recurrence, gentlier, seriously, early period, mid-term,
Later period, I, II, III phase etc., with set J={ J1,J2,J3... } and it represents；
Each sufferer provides the drug products collection M={ M used in the corresponding stage1,M2,…,Mn, n indicates product number；
And course for the treatment of T={ T is taken/used to corresponding every kind of product1,T2,….,Tn}；
And corresponding every kind of product therapeutic effect E={ E1,E2,….,En}；
And corresponding course for the treatment of drug spends F={ F1,F2,…,Fn}；
And corresponding drug resistance time N={ N1,N2,…,Nn}；
And corresponding adverse reaction time R={ R1,R2,…,Rn}；
Corresponding treatment information matrix D={ M, T, E, F, N, R } is generated according to above- mentioned information；
According to disease circle creation individual member set, doctor member's set, nutritionist member's set；
(4) individual member of disease circle proposes personalized customization requirement；
(5) disease circle requires matching doctor member and nutritionist member to provide disease control side according to personalized customization
Case.
Preferably, in the step (1), the method for creation MO database are as follows:
(1.1) disease and its feature being numbered with MO terms, each MO terms represents a vertex, and two
Relationship between terms is indicated with directed edge, in this way indicates disease and symptom in a directed acyclic graph；
(1.2) association between vertex is divided into two types: is_a relationship and part_of relationship；Is_a relationship is a kind of
Simple inclusion relation；Part_of relationship indicates the inclusion relation of a part, and often there are many symptom to show for a kind of disease, disease
It is the relationship of part_of between disease of seeking peace, is the relationship of is_a between disease and disease, is is_a between symptom and symptom
Relationship；
(1.3) for the directed edge between any two terms, if the relationship of part_of, then assign weight；Weight is used
Association probability d is indicated；Degree of being associated d distributes (0 < d≤1) between the sub- terms that father term is associated；Wherein it is associated with
Degree d (term1, term2) indicates that the probability of the sub- symptom of term2 occurs in father's symptom term1；
(1.4) for the directed edge between any two terms, if the relationship of is_a, then assign weight；Weight association
Percentage indicates；The percentage term all sons associated by father term are associated between father term and sub- terms
Occurs ratio in terms, the sum of association percentage of the sub- terms is 1.
Further, the step (4) further include: individual member is that personalized customization requires setting integral to put on someone's head.
Further, the step (5) further include: after individual member adopts disease control scheme, according to member's setting
Integral, which is put on someone's head, gives doctor member and nutritionist member's reward on total mark.
A kind of another aspect of the present invention, it is also proposed that Customization System based on disease circle data information, comprising:
Medical information ontology (Medical Ontology) database, i.e. MO database；By disease and its feature MO
Terms is numbered；Each MO terms represents a vertex, and the relationship between two terms is indicated with directed edge, in this way will
Disease and symptom indicate in a directed acyclic graph；
Hash table module: creation one is using drug electronic mark code as corresponding MO in the storage MO database of key code
The Hash table MO hash of terms；
Disease circle creation module, the treatment information provided according to every sufferer, comprising: each sufferer provides itself sufferer institute
The disease stage at place, including just suffer from, it recurs, gentlier, seriously, early period, mid-term, the later period, I, II, III phase etc., with set J=
{J1,J2,J3... } and it represents；Each sufferer provides the drug products collection M={ M used in the corresponding stage1,M2,…,Mn, n indicates to produce
Product number；And course for the treatment of T={ T is taken/used to corresponding every kind of product1,T2,….,Tn}；And corresponding every kind of product therapeutic effect
E={ E1,E2,….,En}；And corresponding course for the treatment of drug spends F={ F1,F2,…,Fn}；And corresponding drug resistance time N={ N1,
N2,…,Nn}；And corresponding adverse reaction time R={ R1,R2,…,Rn}；Corresponding treatment information square is generated according to above- mentioned information
Battle array D={ M, T, E, F, N, R }；According to disease circle creation individual member set, doctor member's set, nutritionist member's set；
Individual member's module, the individual member for disease circle propose personalized customization requirement；
Scheme matching module requires matching doctor member and nutritionist member to go out for disease circle according to personalized customization
Has disease control scheme.
Preferably, the method for the MO database creation are as follows:
(1.1) disease and its feature being numbered with MO terms, each MO terms represents a vertex, and two
Relationship between terms is indicated with directed edge, in this way indicates disease and symptom in a directed acyclic graph；
(1.2) association between vertex is divided into two types: is_a relationship and part_of relationship；Is_a relationship is a kind of
Simple inclusion relation；Part_of relationship indicates the inclusion relation of a part, and often there are many symptom to show for a kind of disease, disease
It is the relationship of part_of between disease of seeking peace, is the relationship of is_a between disease and disease, is is_a between symptom and symptom
Relationship；
(1.3) for the directed edge between any two terms, if the relationship of part_of, then assign weight；Weight is used
Association probability d is indicated；Degree of being associated d distributes (0 < d≤1) between the sub- terms that father term is associated；Wherein it is associated with
Degree d (term1, term2) indicates that the probability of the sub- symptom of term2 occurs in father's symptom term1；
(1.4) for the directed edge between any two terms, if the relationship of is_a, then assign weight；Weight association
Percentage indicates；The percentage term all sons associated by father term are associated between father term and sub- terms
Occurs ratio in terms, the sum of association percentage of the sub- terms is 1.
Further, individual member's module further includes that integral puts unit on someone's head, is personalized customization for individual member
It is required that setting integral is put on someone's head.
Further, the scheme matching module further includes reward on total mark unit, adopts disease control for individual member
After scheme, is put on someone's head according to the integral that member sets and give doctor member and nutritionist member's reward on total mark.
The invention has the benefit that by means of the present invention, establishing a kind of individual character based on disease circle data information
Change method for customizing and system, provide the method for personalized customization for disease autodiagnosis information platform, be sufferer personalized treatment with
It raises and technical support is provided.
Specific embodiment
The present invention will be further described combined with specific embodiments below.
The present invention proposes a kind of personalized customization method based on disease circle data information, includes the following steps:
(1) medical information ontology (Medical Ontology) database, i.e. MO database are established；By disease and its feature
It is numbered with MO terms；Each MO terms represents a vertex, and the relationship between two terms is indicated with directed edge,
Disease and symptom are indicated in a directed acyclic graph in this way；
(2) one is created using drug electronic mark code as the Kazakhstan of corresponding MO terms in the storage MO database of key code
Uncommon table MO hash；
(3) disease circle is created, the treatment information provided according to every sufferer, comprising:
Each sufferer provides disease stage locating for itself sufferer, including just suffers from, recurrence, gentlier, seriously, early period, mid-term,
Later period, I, II, III phase etc., with set J={ J1,J2,J3... } and it represents；
Each sufferer provides the drug products collection M={ M used in the corresponding stage1,M2,…,Mn, n indicates product number；
And course for the treatment of T={ T is taken/used to corresponding every kind of product1,T2,….,Tn}；
And corresponding every kind of product therapeutic effect E={ E1,E2,….,En}；
And corresponding course for the treatment of drug spends F={ F1,F2,…,Fn}；
And corresponding drug resistance time N={ N1,N2,…,Nn}；
And corresponding adverse reaction time R={ R1,R2,…,Rn}；
Corresponding treatment information matrix D={ M, T, E, F, N, R } is generated according to above- mentioned information；
According to disease circle creation individual member set, doctor member's set, nutritionist member's set；
(4) individual member of disease circle proposes personalized customization requirement；
(5) disease circle requires matching doctor member and nutritionist member to provide disease control side according to personalized customization
Case.
Wherein, in the step (1), the method for creation MO database are as follows:
(1.1) disease and its feature being numbered with MO terms, each MO terms represents a vertex, and two
Relationship between terms is indicated with directed edge, in this way indicates disease and symptom in a directed acyclic graph；
(1.2) association between vertex is divided into two types: is_a relationship and part_of relationship；Is_a relationship is a kind of
Simple inclusion relation；Part_of relationship indicates the inclusion relation of a part, and often there are many symptom to show for a kind of disease, disease
It is the relationship of part_of between disease of seeking peace, is the relationship of is_a between disease and disease, is is_a between symptom and symptom
Relationship；
(1.3) for the directed edge between any two terms, if the relationship of part_of, then assign weight；Weight is used
Association probability d is indicated；Degree of being associated d distributes (0 < d≤1) between the sub- terms that father term is associated；Wherein it is associated with
Degree d (term1, term2) indicates that the probability of the sub- symptom of term2 occurs in father's symptom term1；
(1.4) for the directed edge between any two terms, if the relationship of is_a, then assign weight；Weight association
Percentage indicates；The percentage term all sons associated by father term are associated between father term and sub- terms
Occurs ratio in terms, the sum of association percentage of the sub- terms is 1.
Wherein, the step (4) further include: individual member is that personalized customization requires setting integral to put on someone's head.
Wherein, the step (5) further include: after individual member adopts disease control scheme, according to the integral of member's setting
It puts on someone's head and gives doctor member and nutritionist member's reward on total mark.
The above is only a specific embodiment of the present invention, is not intended to limit the scope of protection of the present invention, it is all
Within the spirit and principles in the present invention, any modification, equivalent substitution, improvement and etc. done should be included in protection of the invention
Within the scope of.
Claims (8)
1. a kind of personalized customization method based on disease circle data information, which comprises the steps of:
(1) medical information ontology (Medical Ontology) database, i.e. MO database are established；By disease and its feature MO
Terms is numbered；Each MO terms represents a vertex, and the relationship between two terms is indicated with directed edge, in this way will
Disease and symptom indicate in a directed acyclic graph；
(2) one is created using drug electronic mark code as the Hash table of corresponding MO terms in the storage MO database of key code
MO hash；
(3) disease circle is created, the treatment information provided according to every sufferer, comprising:
Each sufferer provides disease stage locating for itself sufferer, including just suffers from, recurrence, gentlier, seriously, early period, mid-term, after
Phase, I, II, III phase etc., with set J={ J1,J2,J3... } and it represents；
Each sufferer provides the drug products collection M={ M used in the corresponding stage1,M2,…,Mn, n indicates product number；
And course for the treatment of T={ T is taken/used to corresponding every kind of product1,T2,….,Tn}；
And corresponding every kind of product therapeutic effect E={ E1,E2,….,En}；
And corresponding course for the treatment of drug spends F={ F1,F2,…,Fn}；
And corresponding drug resistance time N={ N1,N2,…,Nn}；
And corresponding adverse reaction time R={ R1,R2,…,Rn}；
Corresponding treatment information matrix D={ M, T, E, F, N, R } is generated according to above- mentioned information；
According to disease circle creation individual member set, doctor member's set, nutritionist member's set；
(4) individual member of disease circle proposes personalized customization requirement；
(5) disease circle requires matching doctor member and nutritionist member to provide disease control scheme according to personalized customization.
2. the method according to claim 1, wherein in the step (1), the method that creates MO database are as follows:
(1.1) disease and its feature are numbered with MO terms, each MO terms represents a vertex, two terms
Between relationship indicated with directed edge, disease and symptom are indicated in a directed acyclic graph in this way；
(1.2) association between vertex is divided into two types: is_a relationship and part_of relationship；Is_a relationship is a kind of simple
Inclusion relation；Part_of relationship indicates the inclusion relation of a part, and often there are many symptom to show for a kind of disease, symptom and
It is the relationship of part_of between disease, is the relationship of is_a between disease and disease, is the pass of is_a between symptom and symptom
System；
(1.3) for the directed edge between any two terms, if the relationship of part_of, then assign weight；Weight association
Probability d is indicated；Degree of being associated d distributes (0 < d≤1) between the sub- terms that father term is associated；Wherein degree of association d
(term1, term2) indicates that the probability of the sub- symptom of term2 occurs in father's symptom term1；
(1.4) for the directed edge between any two terms, if the relationship of is_a, then assign weight；Weight association percentage
Than indicating；Percentage is associated with the sub- term in all sub- terms associated by father term between father term and sub- terms
There is ratio, the sum of association percentage of the sub- terms is 1.
3. the method according to claim 1, wherein the step (4) further include: individual member is personalized fixed
System requires setting integral to put on someone's head.
4. the method according to claim 1, wherein the step (5) further include: individual member adopts disease pipe
After reason scheme, is put on someone's head according to the integral that member sets and give doctor member and nutritionist member's reward on total mark.
5. a kind of Customization System based on disease circle data information characterized by comprising
Medical information ontology (Medical Ontology) database, i.e. MO database；By disease and its feature MO terms
It is numbered；Each MO terms represents a vertex, and the relationship between two terms is indicated with directed edge, in this way by disease
It is indicated in a directed acyclic graph with symptom；
Hash table module: creation one is using drug electronic mark code as corresponding MO terms in the storage MO database of key code
Hash table MO hash；
Disease circle creation module, the treatment information provided according to every sufferer, comprising: each sufferer is provided locating for itself sufferer
Disease stage, including just suffer from, it recurs, gentlier, seriously, early period, mid-term, the later period, I, II, III phase etc., with set J={ J1,J2,
J3... } and it represents；Each sufferer provides the drug products collection M={ M used in the corresponding stage1,M2,…,Mn, n indicates product number；
And course for the treatment of T={ T is taken/used to corresponding every kind of product1,T2,….,Tn}；And corresponding every kind of product therapeutic effect E={ E1,
E2,….,En}；And corresponding course for the treatment of drug spends F={ F1,F2,…,Fn}；And corresponding drug resistance time N={ N1,N2,…,
Nn}；And corresponding adverse reaction time R={ R1,R2,…,Rn}；Corresponding treatment information matrix D=is generated according to above- mentioned information
{M,T,E,F,N,R}；According to disease circle creation individual member set, doctor member's set, nutritionist member's set；
Individual member's module, the individual member for disease circle propose personalized customization requirement；
Scheme matching module requires matching doctor member and nutritionist member to provide disease for disease circle according to personalized customization
Sick Managed Solution.
6. system according to claim 5, which is characterized in that the method for the MO database creation are as follows:
(1.1) disease and its feature are numbered with MO terms, each MO terms represents a vertex, two terms
Between relationship indicated with directed edge, disease and symptom are indicated in a directed acyclic graph in this way；
(1.2) association between vertex is divided into two types: is_a relationship and part_of relationship；Is_a relationship is a kind of simple
Inclusion relation；Part_of relationship indicates the inclusion relation of a part, and often there are many symptom to show for a kind of disease, symptom and
It is the relationship of part_of between disease, is the relationship of is_a between disease and disease, is the pass of is_a between symptom and symptom
System；
(1.3) for the directed edge between any two terms, if the relationship of part_of, then assign weight；Weight association
Probability d is indicated；Degree of being associated d distributes (0 < d≤1) between the sub- terms that father term is associated；Wherein degree of association d
(term1, term2) indicates that the probability of the sub- symptom of term2 occurs in father's symptom term1；
(1.4) for the directed edge between any two terms, if the relationship of is_a, then assign weight；Weight association percentage
Than indicating；Percentage is associated with the sub- term in all sub- terms associated by father term between father term and sub- terms
There is ratio, the sum of association percentage of the sub- terms is 1.
7. system according to claim 5, which is characterized in that individual member's module further includes that integral puts unit on someone's head,
It is that personalized customization requires setting integral to put on someone's head for individual member.
8. system according to claim 5, which is characterized in that the scheme matching module further includes reward on total mark unit,
After adopting disease control scheme for individual member, is put on someone's head according to the integral that member sets and give doctor member and nutritionist member
Reward on total mark.
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Cited By (1)
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| CN115292374A (en) * | 2022-10-10 | 2022-11-04 | 北京京东拓先科技有限公司 | Processing method and system for automatic follow-up plan, storage medium and electronic equipment |
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| US20040117346A1 (en) * | 2002-09-20 | 2004-06-17 | Kilian Stoffel | Computer-based method and apparatus for repurposing an ontology |
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