CN109712712A - A kind of health evaluating method, health evaluating device and computer readable storage medium - Google Patents
A kind of health evaluating method, health evaluating device and computer readable storage medium 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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Abstract
This application discloses a kind of health evaluating method, health evaluating device and computer readable storage mediums, applied to prediction valuation field, wherein method includes: physiological age, real age and the target disease incidence table for obtaining target user, physiological age is the physical age for describing the practical aging degree of target user's body, it that is to say that the set goal user suffers from the age of target disease, real age is actual age of the target user from birth to illness, that is to say target user's practical age for suffering from target disease；Target disease incidence table is compareed, corresponding first disease incident of physiological age of target user and corresponding second disease incident of real age of target user are searched；Compare the first disease incident and the second disease incident, to assess the health point of target user.The application obtains the health point of target user by comparing the physiological age and real age of target user, so as to assess target user health status quality.
Description
Technical field
This application involves risk assessment technology field more particularly to a kind of health evaluating methods, health evaluating device and meter
Calculation machine readable storage medium storing program for executing.
Background technique
The progress of medical technology is cured many diseases, but still having many chronic diseases is to be difficult to be cured
, and its incubation period be also it is very long, for the crowd of different constitutions, disease time by heredity and living habit
The influence of equal many factors, then specific disease time is not fixed, even if current body does not have disease that can not represent body
Body is healthy.
Then for the true physical condition of user is measured, can now be carried out at present by the physical function to user
Detection, to score the physical function of the various aspects of user, finally integrates all scores to obtain comprehensive score, so
User is assessed using the height of the comprehensive score afterwards certain specified disease will occur future or causes extremely because of certain specified disease
A possibility that dying, but also user can have an awareness and understanding substantially to own health by comprehensive score.
But the method that the physical condition of user is directly measured by the physical function to user is still less quasi-
Really, because unhealthful factor is too many, only assess the physical function of user that can not accurately to describe user true
Real physical condition then also lacks a kind of efficient and accurate health evaluating method.
Summary of the invention
The embodiment of the present application provides a kind of health evaluating method, it can be achieved that multiple users share encryption data, and improves encryption
The sharing efficiency of data.
In a first aspect, the embodiment of the present application provides a kind of health evaluating method, this method comprises:
Obtain the physiological age and real age of target disease incidence table, target user, the target disease incidence
Table has recorded the disease incident of corresponding target disease of each age, and the physiological age is for describing the target
The physical age of the practical aging degree of user's body that is to say that the expected target user suffers from the age of target disease, institute
Stating real age is actual age of the target user from birth to illness, that is to say the target user it is practical suffer from it is described
The age of target disease；
The target disease incidence table is compareed, corresponding first disease of physiological age for searching the target user occurs
Corresponding second disease incident of the real age of rate and the target user；
Compare first disease incident and second disease incident, to assess the health of the target user
Point, the health of the target user divides the health status for describing the target user.
With reference to first aspect, in the first implementation of first aspect, first disease incident
With second disease incident, divided with assessing the health of the target user, comprising:
Calculate the ratio of first disease incident and the second disease incident；
The health point of the target user is assessed according to the size of the ratio, wherein the ratio and the target
The health of user is divided into direct ratio.
The first implementation with reference to first aspect, it is described to compare institute in second of implementation of first aspect
The first disease incident and second disease incident are stated, to assess the health point of the target user, comprising:
Y=[(a/b) -1] × 100, the y are the health point, and a is first disease incident, and the b is
Second disease incident.
With reference to first aspect, in the third implementation of first aspect, the acquisition target disease incidence table it
Afterwards, before the physiological age for obtaining the target user, further includes:
According to the physiological age of the estimated target user of the target disease incidence table.
The third implementation with reference to first aspect, it is described according to institute in the 4th kind of implementation of first aspect
State the physiological age of the estimated target user of target disease incidence table, comprising:
Target disease cumulative incidence table is calculated according to the target disease incidence meter, the target disease is accumulative to be occurred
Rate table has recorded corresponding accumulative disease incident of each age；
The accumulative disease incident is greater than or equal to the minimal ages of preset threshold as the target user
Physiological age.
With reference to first aspect, in the 5th kind of implementation of first aspect, the acquisition target disease incidence table, packet
It includes；
Obtain the attribute of the target user；
Corresponding target disease incidence table is obtained according to the attribute of the target user.
With reference to first aspect to the 5th kind of implementation of first aspect, in the 6th kind of implementation of first aspect,
The target disease incidence table is the age of each user's illness in the medical big data for count medical insurance field, and obtains each
The set of a age corresponding disease probability of happening.
Second aspect, the embodiment of the present application provide a kind of health evaluating device, which includes for holding
The unit of the health evaluating method of the above-mentioned first aspect of row, the health evaluating device include:
Acquiring unit, for obtaining the physiological age and real age of target disease incidence table, target user, the mesh
Mark disease incident table has recorded the disease incident of corresponding target disease of each age, the physiological age be for
The physical age for describing the practical aging degree of target user's body that is to say that the expected target user suffers from target disease
The age of disease, the real age are actual age of the target user from birth to illness, that is to say the target user
Actually suffer from the age of the target disease；
Searching unit compares the target disease incidence table, searches the physiological age corresponding of the target user
One disease incident and corresponding second disease incident of the real age of the target user；
Assessment unit, first disease incident and second disease incident are used with assessing the target
The health at family point, the health of the target user divides the health status for describing the target user.
In conjunction with second aspect, in the first implementation of second aspect, the assessment unit is specifically used for:
Calculate the ratio of first disease incident and the second disease incident；
The health point of the target user is assessed according to the size of the ratio, wherein the ratio and the target
The health of user is divided into direct ratio.
In conjunction with the first implementation of second aspect, in second of implementation of second aspect, the assessment is single
Member is specifically used for:
Y=[(a/b) -1] × 100, the y are the health point, and a is first disease incident, and the b is
Second disease incident.
In conjunction with second aspect, in the third implementation of second aspect, the health evaluating device further includes prediction
Unit, the predicting unit, for the physiological age according to the estimated target user of the target disease incidence table.
In conjunction with the third implementation of second aspect, in the 4th kind of implementation of second aspect, the prediction is single
Member is specifically used for:
Target disease cumulative incidence table is calculated according to the target disease incidence meter, the target disease is accumulative to be occurred
Rate table has recorded corresponding accumulative disease incident of each age；
The accumulative disease incident is greater than or equal to the minimal ages of preset threshold as the target user
Physiological age.
In conjunction with second aspect, in the 5th kind of implementation of second aspect, the acquiring unit is also used to:
Obtain the attribute of the target user；
Corresponding target disease incidence table is obtained according to the attribute of the target user.
In conjunction with the 5th kind of implementation of second aspect to second aspect, in the 6th kind of implementation of second aspect,
The target disease incidence table is the age of each user's illness in the medical big data for count medical insurance field, and obtains each
The set of a age corresponding disease probability of happening.
The third aspect, the embodiment of the present application provides another health evaluating device, including processor and memory, described
Processor and memory are connected with each other, wherein the memory supports health evaluating device to execute above-mentioned health and comment for storing
Estimate the computer program of method, the computer program includes program instruction, and the processor is configured for calling the journey
Sequence instruction, to execute above-mentioned first aspect to first aspect any one implementation health evaluating method.
Fourth aspect, the embodiment of the present application provide a kind of computer readable storage medium, the computer storage medium
It is stored with computer program, the computer program includes program instruction, and described program instruction is when being executed by processor, to hold
The health evaluating method of any one implementation of the above-mentioned first aspect of row to first aspect.
The application first obtain target user expection age of onset and practical disease time, wherein it is expected that age of onset is
The target user of prediction may suffer from the age of target disease, that is to say that the contemporary of target user may suffer from target disease
Age, and practical age of onset is that target user actually suffers from age of target disease, then by the expection age of onset and
Then practical age of onset compares target disease incidence table, obtains respectively as the physiological age and real age of target user
Physiological age and corresponding first disease incident of real age and the second disease incident are taken, the first disease is finally compared
Incidence and the second disease incident, to assess the health point of target user, the size of health point reflects the actual body of user
Body health status is equivalent on the basis of the health status of general contemporary, the quality of the physical condition of Lai Hengliang user.Then
For the physical function by assessing user is come the method for the physical condition of isolated assessment user, the application by
In to body, whether health sets assessment benchmark, therefore more efficient and accurate evaluation user the health status of energy.
Detailed description of the invention
Technical solution in ord to more clearly illustrate embodiments of the present application, below will be to needed in embodiment description
Attached drawing is briefly described.
Fig. 1 is a kind of schematic flow diagram of health evaluating method provided by the embodiments of the present application；
Fig. 2 is a kind of schematic flow diagram of health evaluating method provided by the embodiments of the present application；
Fig. 3 is a kind of example schematic of target disease incidence table provided by the embodiments of the present application；
Fig. 4 is a kind of example schematic of target disease cumulative incidence table provided by the embodiments of the present application；
Fig. 5 is a kind of schematic block diagram of health evaluating device provided by the embodiments of the present application；
Fig. 6 is a kind of structural diagram of health evaluating device provided by the embodiments of the present application.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present application, technical solutions in the embodiments of the present application carries out clear, complete
Site preparation description.
It should be appreciated that ought use in this specification and in the appended claims, term " includes " and "comprising" instruction
Described feature, entirety, step, operation, the presence of element and/or component, but one or more of the other feature, whole is not precluded
Body, step, operation, the presence or addition of element, component and/or its set.
It is also understood that mesh of the term used in this present specification merely for the sake of description specific embodiment
And be not intended to limit the application.As present specification and it is used in the attached claims, unless on
Other situations are hereafter clearly indicated, otherwise " one " of singular, "one" and "the" are intended to include plural form.
It will be further appreciated that the term "and/or" used in present specification and the appended claims is
Refer to any combination and all possible combinations of one or more of associated item listed, and including these combinations.
As used in this specification and in the appended claims, term " if " can be according to context quilt
Be construed to " when ... " or " once " or " in response to determination " or " in response to detecting ".Similarly, phrase " if it is determined that " or
" if detecting [described condition or event] " can be interpreted to mean according to context " once it is determined that " or " in response to true
It is fixed " or " once detecting [described condition or event] " or " in response to detecting [described condition or event] ".
Terminal device described in the embodiment of the present application includes but is not limited to the equipment with communication function, smart phone, puts down
Plate computer, laptop, desktop computer, portable digital player, Intelligent bracelet and smartwatch etc..Work as terminal device
When health evaluating device into block chain sends data, record simultaneously the characteristic of data according to preset format
Transmission, wherein the characteristic of data includes time, place, type etc..
The application is mainly used in health evaluating device, which can be traditional health assessment device, clothes
Business device, large memory system, desktop computer, laptop, tablet computer, palm PC, smart phone, portable digital are broadcast
Device, smartwatch and Intelligent bracelet etc. are put, the application is without limitation.When health evaluating device is sent to other equipment
When data, the characteristic of data is recorded and transmitted according to preset format, wherein when the characteristic of data includes
Between, place, type etc..Wherein, above-mentioned other equipment include server, large memory system, desktop computer, laptop,
Tablet computer, palm PC, smart phone, portable digital player, smartwatch and Intelligent bracelet etc., the application couple
This is with no restrictions.
It is that the embodiment of the present application provides a kind of schematic flow diagram of health evaluating method referring to Fig. 1, it is healthy as shown in Figure 1
Appraisal procedure can include:
101: obtaining the physiological age, real age and target disease incidence table of target user.
In the embodiment of the present application, using the user of pending health evaluating as target user, and selection target user is
Then any one in the disease suffered from is directed to target disease as target disease, obtain target disease incidence table, and
The physiological age and real age of target user, wherein physiological age is for describing the practical aging degree of target user's body
Physical age, that is to say that the set goal user suffers from the age of target disease, real age be target user from birth extremely
The actual age of illness, that is to say target user's practical age for suffering from target disease, and target disease incidence table has recorded respectively
The disease incident of a age corresponding target disease, the disease incidence of each age corresponding target disease be
The ratio of the sick total number of number Zhan of each age, the people for reflecting general nature growth start in all ages and classes with mesh
Mark the probability of disease.
For example, the year of user is described in target disease incidence table target disease incidence table as shown in Figure 3
When age was from 30 years old to 44 years old, user suffers from the probability of target disease, wherein corresponding disease incident is within 30 years old
0.000949, it is assumed that the target disease incidence table is with 1000000 artificial sample statistics, then wherein at 30 years old
Number with target disease has 949 people, and also illustrating that when age is 30 years old may be with the probability of target disease
0.000949。
Further, before obtaining target disease, before the acquisition target disease incidence table, it is big first to obtain medical treatment
Data are to establish above-mentioned target disease incidence table.Specifically, obtaining medical big data, medical big data includes at least one use
The medical data at family；The corresponding disease probability of happening for suffering from target disease of each age in medical big data is counted, with
Establish above-mentioned target disease incidence table.
In the embodiment of the present application, medical big data is first obtained, then counts in the medical treatment big data all users each
A age suffers from the ratio of target disease, occurs corresponding number accounting of each age as the age corresponding disease
Rate.Wherein, the medical data that multiple users are described in medical big data, the age of target disease is suffered from comprising each user.
For example, as shown in Figure 3, it is assumed that the medical data of 1000000 users is contained in above-mentioned medical treatment big data,
Through counting, the number for suffering from target disease in all users at 30 years old has 949 people, and the ratio for accounting for total number of persons is 0.000949, institute
There is the number for suffering from target disease at 31 years old in user to have 1009, the ratio for accounting for total number of persons is useful for 0.001078.......
The number for suffering from target disease at 44 years old in family has 4070, and the ratio for accounting for total number of persons is 0.004070.Thus according to above-mentioned each
Age corresponding number accounting distinguishes above-mentioned each age to establish target disease incidence table as shown in Figure 3
Corresponding number accounting is as corresponding disease incident of each age.
Optionally, each user in above-mentioned medical big data corresponds to one or more attribute, then above-mentioned according to doctor
It treats the user that big data is established target disease incidence table and be can be for different attribute and establishes different target disease incidences
Table.
In the application implementation, above-mentioned medical treatment big data includes the sick time of user and the attribute of user, the attribute
Including gender, area, occupation and/or interest etc., it is above-mentioned establish target disease incidence table when, can will the big number of medical treatment
User in is divided into different classes according to one or multiple attributes, then different according to being established by inhomogeneous user
Target disease incidence table.
For example, if including sick time, gender and the area of user in above-mentioned medical treatment big data, by above-mentioned medical treatment
The user for including in big data classifies according to its gender and regional two dimensions, such as gender includes male and female, area
It is divided into Beijing and Shanghai, then the user in above-mentioned medical big data is divided into four classes, the i.e. female user of Beijing area,
The male user of Beijing area, the female user of District of Shanghai and the male user of District of Shanghai are then directed to above-mentioned four respectively
Class user establishes a target disease incidence table, such as counts in the lady's family of above-mentioned Beijing area and suffer from target at each age
The ratio of the total number of persons of the female user of the number Zhan of disease total Beijing area, to obtain for for women of Beijing area
The target disease incidence table at family.
Further, before obtaining above-mentioned target disease incidence table, the attribute of target user is first obtained, is then obtained
The corresponding target disease incidence table of the attribute of target user, the different user of attribute correspond to different target disease incidences
Table；If target disease incidence table corresponding to the attribute of target user has not been obtained, medical big data is obtained, extracts the doctor
Multiple users identical with target user's attribute in big data are treated, then basis should multiple users identical with target user's attribute
To establish target disease incidence table.
Optionally, above-mentioned medical big data is the data based on medical insurance field, and above-mentioned target disease incidence table is
The age of each user's illness in the medical big data of statistics medical insurance field, and obtained corresponding disease of each age
The set of sick probability of happening.
In the application implementation, above-mentioned medical treatment big data derives from medical insurance data, as based on the doctor of medical insurance field
Treat big data.Specifically, the medical treatment big data derives from the record that is in danger of medical insurance field, wherein be in danger and be recorded as user
After target disease purchase insurance, the record just pursued a claim to insurance company when user suffers from target disease, then
Being in danger the time for user, the i.e. sick time of user can be recorded in this is in danger and records.
Further, after above-mentioned acquisition target disease incidence table, the physiological age of the above-mentioned acquisition target user
Before, further include physiological age according to above-mentioned target disease incidence table scheduled target user.
In the embodiment of the present application, all there is a disease high incidence age in many diseases, when not knowing about the strong of target user
It, can be using the disease high incidence age as the expection age of onset of target user, thus according to above-mentioned target disease in the case of health
The expection age of onset of the estimated above-mentioned target user of incidence table, wherein it is expected that the target user that age of onset is prediction may
Suffer from the age of target disease.
Specifically, the above-mentioned expection age of onset according to target disease incidence table scheduled target user, refers to first root
Target disease cumulative incidence table is calculated according to target disease incidence meter, target disease cumulative incidence table has recorded each age
Corresponding accumulative disease incident；Then using accumulative disease incident be greater than or equal to preset threshold minimal ages as
As above-mentioned expected age of onset.
For example, the accumulative generation of target disease as shown in Figure 4 is obtained by target disease incidence table as shown in Figure 3
Rate table, i.e. each age corresponding accumulative disease incident in calculating target disease incidence table, 30 years old corresponding accumulative
Disease incident is 30 years old corresponding disease incident, i.e. target user's probability that target disease was suffered from 30 years old, 31 years old correspondence
Accumulative disease probability of happening be 30 years old, the sum of 31 years old corresponding disease incident, i.e., target user was at 30 years old to 31 years old
Between to suffer from probability ... 44 years old corresponding accumulative disease incident of target disease be 30 years old, 31 years old ... to 43 years old point
The probability that the sum of not corresponding disease incident, i.e. target user suffer from target disease between 30 years old to 43 years old.It obtains above-mentioned
It after accumulative target disease incidence table, takes in the accumulative target disease incidence table, adds up disease incident and be greater than default threshold
The minimal ages of value are as expected age of onset, it is assumed that preset threshold 0.02, then it can be seen that target disease cumulative incidence
42 years old in table is the minimal ages for adding up disease incident and being more than 0.02, then by the 42 years old physiology as above-mentioned target user
Age.
102: compareing above-mentioned disease incident, corresponding first disease of physiological age for searching above-mentioned target user occurs
Rate, and corresponding second disease incident of real age of target user.
In embodiments of the present invention, in the physiological age for getting target disease incidence table, target user and really
After age, the corresponding disease incident of each age in above-mentioned target disease incidence table is compareed, to search above-mentioned life
Manage age corresponding first disease incident and the second disease incident, wherein the first disease is that may suffer from according to target user
The probability of above-mentioned target disease, and the contemporary that the second disease incident table is target user may suffer from and state the general of target disease
Rate.
For example, as shown in figure 3, if the physiological age of above-mentioned target user is 35, real age 30, then physiology year
Age corresponding first disease incident is 0.001396, and corresponding second disease incident of real age is 0.000949.
103: more above-mentioned first disease incident and second disease incident, to assess the strong of the target user
Health point.
In the embodiment of the present application, target is assessed by comparing the first disease probability of happening and the second disease probability of happening
The health of user point, health point is higher to illustrate that target user is poorer compared to health status for contemporary.
Specifically, above-mentioned first disease incident and above-mentioned second disease incident, to assess target user
Health point, refer to the ratio for calculating the first disease incident and the second disease incident；It is assessed according to the size of ratio
The health of target user point, wherein ratio and health are divided into direct ratio, and ratio is bigger, and the health point of target user is bigger.Health point
For 0 point of expression health, health point is bigger, and the physical condition for indicating target user is poorer compared to general contemporary.
More specifically, above-mentioned first disease incident and above-mentioned second disease incident, to assess target use
The health at family point refers to calculating y=[(a/b) -1] × 100, to obtain the health point, wherein y is health point, and a is upper
The first disease incident is stated, b is above-mentioned second disease incident.
For example, as shown in figure 3, if the physiological age of above-mentioned target user is 35, real age 30, then physiology year
Age corresponding first disease incident be 0.001396, corresponding second disease incident of real age be 0.000949, then on
It states health and is divided into y=[(0.001396/0.000949) -1] × 100=47.1, the health point indicates target user compared to same
For age people, the probability for suffering from target disease is higher by 47.1%.
It should be noted that directly enabling being good for for target user if the physiological age of target user is less than real age
Health is divided into 0 point, indicates the health of target user, similar with the health degree of contemporary, even better than contemporary.
The application first obtain target user expection age of onset and practical disease time, wherein it is expected that age of onset is
The target user of prediction may suffer from the age of target disease, that is to say that the contemporary of target user may suffer from target disease
Age, and practical age of onset is that target user actually suffers from age of target disease, then by the expection age of onset and
Then practical age of onset compares target disease incidence table, obtains respectively as the physiological age and real age of target user
Physiological age and corresponding first disease incident of real age and the second disease incident are taken, the first disease is finally compared
Incidence and the second disease incident, to assess the health point of target user, the size of health point reflects the actual body of user
Body health status is equivalent on the basis of the health status of general contemporary, the quality of the physical condition of Lai Hengliang user.Then
For the physical function by assessing user is come the method for the physical condition of isolated assessment user, the application by
In to body, whether health sets assessment benchmark, therefore more efficient and accurate evaluation user the health status of energy.
It referring to fig. 2, is that the embodiment of the present application provides the schematic flow diagram of another health evaluating method, it is strong as shown in Figure 2
Health appraisal procedure can include:
201: obtaining the attribute of target user.
In the embodiment of the present application, the attribute of target user is obtained first, and attribute includes gender, area, occupation and/or emerging
Interest etc..
202: corresponding target disease incidence table is obtained according to the attribute of above-mentioned target user.
In the embodiment of the present application, due to being directed to target disease, different crowds is in corresponding disease of each age
Sick incidence is different, also different in the corresponding target disease incidence table of the crowd that is different.Obtaining target disease hair
When raw rate table, the attribute of target user is first obtained, corresponding target disease is then obtained according to the attribute of target user
Incidence table.Specifically, the attribute of user has gender, area, occupation and/or interest etc., and the attribute of target user is wherein
One kind, it is assumed that objective attribute target attribute is female, then obtain female patient medical big data establish target disease incidence table,
In, above-mentioned medical treatment big data includes the illness age of each patient.
Further, before above-mentioned acquisition target disease incidence table, above-mentioned target disease incidence table is established.Specifically
, medical big data is obtained, the medical treatment big data includes the medical data of at least one user；Count the medical big data
In each age corresponding disease probability of happening, to establish the target disease incidence table.
In the embodiment of the present application, before will acquire target disease incidence table, medical big data is obtained first to establish mesh
Mark disease incident table.Wherein, medical big data includes the medical data of at least one user, suffers from target disease including user
Age counts the ratio in medical big data in the quantity Zhan of the user of each age illness total user number, then with this
Corresponding disease probability of happening of each age is calculated, so that integration obtains above-mentioned target disease incidence table.
Optionally, different target disease incidence tables is established for the user of different attribute.
In the application implementation, above-mentioned medical treatment big data includes the sick time of user and the attribute of user, the attribute
Including gender, area, occupation and/or interest etc., it is above-mentioned establish target disease incidence table when, can will the big number of medical treatment
User in is divided into different classes according to one or multiple attributes, then different according to being established by inhomogeneous user
Target disease incidence table.
For example, if including sick time, gender and the area of user in above-mentioned medical treatment big data, by above-mentioned medical treatment
The user for including in big data classifies according to its gender and regional two dimensions, such as gender includes male and female, area
It is divided into Beijing and Shanghai, then the user in above-mentioned medical big data is divided into four classes, the i.e. female user of Beijing area,
The male user of Beijing area, the female user of District of Shanghai and the male user of District of Shanghai are then directed to above-mentioned four respectively
Class user establishes a target disease incidence table, such as counts in the lady's family of above-mentioned Beijing area and suffer from target at each age
The ratio of the total number of persons of the female user of the number Zhan of disease total Beijing area, to obtain for for women of Beijing area
The target disease incidence table at family.
Optionally, the target disease incidence table describes each year in the medical big data based on medical insurance field
Age corresponding disease probability of happening.
In the application implementation, above-mentioned medical treatment big data derives from medical insurance data, as based on the doctor of medical insurance field
Treat big data.Specifically, the medical treatment big data derives from the record that is in danger of medical insurance field, wherein be in danger and be recorded as user
After target disease purchase insurance, the record just pursued a claim to insurance company when user suffers from target disease, then
Being in danger the time for user, the i.e. sick time of user can be recorded in this is in danger and records.
203: the physiological age of target user is calculated according to above-mentioned target disease incidence meter.
In the embodiment of the present application, all there is a disease high incidence age in many diseases, when the feelings for not knowing about target user
Under condition, it can occur using the disease high incidence age as the expection age of onset of target user thus according to above-mentioned target disease
The expection age of onset of the estimated above-mentioned target user of rate table, wherein it is expected that the target user that age of onset is prediction may suffer from
The age of target disease.
Specifically, the above-mentioned expection age of onset according to target disease incidence table scheduled target user, refers to first root
Target disease cumulative incidence table is calculated according to target disease incidence meter, target disease cumulative incidence table has recorded each age
Corresponding accumulative disease incident；Then using accumulative disease incident be greater than or equal to preset threshold minimal ages as
As above-mentioned expected age of onset.
For example, the accumulative generation of target disease as shown in Figure 4 is obtained by target disease incidence table as shown in Figure 3
Rate table, i.e. each age corresponding accumulative disease incident in calculating target disease incidence table, 30 years old corresponding accumulative
Disease incident is 30 years old corresponding disease incident, i.e. target user's probability that target disease was suffered from 30 years old, 31 years old correspondence
Accumulative disease probability of happening be 30 years old, the sum of 31 years old corresponding disease incident, i.e., target user was at 30 years old to 31 years old
Between to suffer from probability ... 44 years old corresponding accumulative disease incident of target disease be 30 years old, 31 years old ... to 43 years old point
The probability that the sum of not corresponding disease incident, i.e. target user suffer from target disease between 30 years old to 43 years old.It obtains above-mentioned
It after accumulative target disease incidence table, takes in the accumulative target disease incidence table, adds up disease incident and be greater than default threshold
The minimal ages of value are as expected age of onset, it is assumed that preset threshold 0.02, then it can be seen that target disease cumulative incidence
42 years old in table is the minimal ages for adding up disease incident and being more than 0.02, then by the 42 years old physiology as above-mentioned target user
Age.
204: obtaining the real age of target user.
In the embodiment of the present application, the real age of target user is obtained, wherein real age, which is that target user is practical, suffers from
The age of the upper target disease.
205: compareing above-mentioned target disease incidence table, search corresponding first disease of physiological age of above-mentioned target user
Corresponding second disease incident of the real age of incidence and target user.
206: more above-mentioned first disease incident and above-mentioned second disease incident, to assess the strong of above-mentioned target user
Health point.
In the embodiment of the present application, user in medical big data is gathered according to its attributive classification at multiple users, then
When establishing target disease incidence table, using different attribute, corresponding user gathers, and establishes different target disease hairs
Raw rate table just first obtains target when then needing to assess the health point of target user in the embodiment of the present application
Then the attribute of user searches corresponding target disease incidence table corresponding with the attribute of target user, later further according to the mesh
Disease incident table is marked to assess the physiological age of target user, and compares the target disease incidence table to search
Corresponding first disease incident of the physiological age and real age of target user and the second disease incident etc..It can be with
Find out, in this application due to using different target disease incidence tables to the user containing different attribute, then improves
The accuracy of the physiological age of target user is assessed, and improves physiological age and corresponding first disease of real age
The accuracy of incidence and the second disease incident then further improves the accuracy of the health point of assessment target user
And efficiency.
It should be noted that tending to emphasize the difference between each embodiment to the description of each embodiment above
Place, same or similar place can refer to mutually, for sake of simplicity, repeats no more herein.
The embodiment of the present application also provides a kind of health evaluating device, which is used to execute any one of aforementioned
The unit of health evaluating method.It specifically, is a kind of signal of health evaluating device provided by the embodiments of the present application referring to Fig. 5
Block diagram.The health evaluating device of the present embodiment includes acquiring unit 510, searching unit 520 and assessment unit 530:
Acquiring unit 510, for obtaining the physiological age, real age and target disease incidence table of target user, institute
Stating physiological age is the age that the expected target user suffers from target disease, and the real age is that the target user is real
Border is suffered from the age of the target disease, and the target disease incidence table has recorded corresponding target disease of each age
Disease incident；
Searching unit 520, compares the target disease incidence table, and the physiological age for searching the target user is corresponding
First disease incident and corresponding second disease incident of the real age of the target user；
Assessment unit 530, first disease incident and second disease incident, to assess the target
The health of user point, the health of the target user divides the health status for describing the target user.
Specifically, above-mentioned assessment unit 530 is specifically used for calculating first disease incident and the second disease incident
Ratio；The health point of the target user is assessed according to the size of the ratio, wherein the ratio and the target are used
The health at family is divided into direct ratio.
More specifically, above-mentioned assessment unit 530 is specifically used for calculating y=[(a/b) -1] × 100, and the y is the health
Point, a is first disease incident, and the b is second disease incident.
Further, above-mentioned health evaluating device further includes predicting unit 540, for according to the target disease incidence
The physiological age of the estimated target user of table.
Specifically, above-mentioned predicting unit 540 is specifically used for being tired out according to target disease incidence meter calculation target disease
Incidence table is counted, the target disease cumulative incidence table has recorded corresponding accumulative disease incident of each age；It will
The accumulative disease incident is greater than or equal to the minimal ages of preset threshold as the physiological age as the target user.
Further, above-mentioned acquiring unit 510, is also used to obtain the attribute of the target user；It is used according to the target
The attribute at family obtains corresponding target disease incidence table.
Further, above-mentioned health evaluating device further includes statistic unit 550, each in the medical big data for counting
A age corresponding disease probability of happening, to establish the target disease incidence table.
Further, target disease incidence table is each user's illness in the medical big data for count medical insurance field
Age, and the set of obtained corresponding disease probability of happening of each age.
Further, above-mentioned health evaluating device further includes receiving unit 560, for receiving the transmission of other terminal devices
Medical big data.
Expection age of onset and practical disease time of the application first with acquiring unit acquisition target user, wherein pre-
Phase age of onset is that the target user of prediction may suffer from the age of target disease, that is to say that the contemporary of target user may suffer from
The age of upper target disease, and practical age of onset is the age that target user actually suffers from target disease, it is then that this is pre-
Then phase age of onset and practical age of onset utilize searching unit respectively as the physiological age and real age of target user
Target disease incidence table is compareed, physiological age and corresponding first disease incident of real age and the second disease are obtained
Incidence finally compares the first disease incident and the second disease incident using assessment unit, to assess the strong of target user
The size of health point, health point reflects the actual physical condition of user, is equivalent to and is with the health status of general contemporary
Benchmark, the quality of the physical condition of Lai Hengliang user.Then relative to the physical function by assessing user come isolated assessment
For the method for the physical condition of user, the application, can be more since to body, whether health sets assessment benchmark
Efficient and accurate evaluation user health status.
Referring to figure, 6, it is a kind of health evaluating device schematic block diagram that another embodiment of the application provides.As shown in the figure
Health evaluating device in the present embodiment may include: one or more processors 610 and memory 620.Above-mentioned processor 610
It is connected with memory 620 by bus 630.For memory 620 for storing computer program, computer program includes that program refers to
It enables, processor 610 is used to execute the program instruction of the storage of memory 620.
Processor 610, for executing the function of acquiring unit 510, for obtaining the physiological age of target user, true year
Age and target disease incidence table, the physiological age is the age that the expected target user suffers from target disease, described
Real age is the target user practical age for suffering from the target disease, and the target disease incidence table has recorded respectively
The disease incident of a age corresponding target disease；It is also used to execute the function of searching unit 520, compares the target
Disease incident table, search the target user corresponding first disease incident of physiological age and the target user
Corresponding second disease incident of real age；It is also used to execute the function of assessment unit 530, the first disease hair
Raw rate and second disease incident, to assess the health point of the target user, the health point of the target user is used for
The health status of the target user is described.
Specifically, above-mentioned processor 610 is specifically used for calculating first disease incident and the second disease incident
Ratio；The health point of the target user is assessed according to the size of the ratio, wherein the ratio and the target user
Health be divided into direct ratio.
More specifically, above-mentioned processor 610 is specifically used for calculating y=[(a/b) -1] × 100, and the y is the health
Point, a is first disease incident, and the b is second disease incident.
Further, above-mentioned processor 610 is also used to execute the function of predicting unit 540, for according to the target disease
The physiological age of the estimated target user of sick incidence table.
Specifically, above-mentioned processor 610 is specifically used for being added up according to target disease incidence meter calculation target disease
Incidence table, the target disease cumulative incidence table have recorded corresponding accumulative disease incident of each age；By institute
Minimal ages of the accumulative disease incident more than or equal to preset threshold are stated as the physiological age as the target user.
Further, above-mentioned processor 610, is also used to obtain the attribute of the target user；According to the target user
Attribute obtain corresponding target disease incidence table.
Optionally, target disease incidence table is each user's illness in the medical big data for count medical insurance field
Age, and the set of obtained corresponding disease probability of happening of each age.
Optionally, above-mentioned memory 620 is stored with medical big data, including at least one user in the medical treatment big data
Medical data, wherein medical data includes the age for suffering from target disease of user
Optionally, above-mentioned health evaluating device further includes communication interface 640, and the communication interface 640 is for executing reception
The function of unit 550, for carrying out data interaction with other terminal devices.Specifically, in the application application embodiment, communication
Interface is used to receive the medical big data of other terminal devices transmission.
Further, above-mentioned processor 610 is also used to obtain above-mentioned medical big data, correspondingly, processor 610 is also used to
The function of statistic unit 560 is executed, the corresponding disease probability of happening of each age in medical big data is counted, on establishing
State target disease incidence table.
It should be appreciated that in the embodiment of the present application, alleged processor 1010 can be central processing unit (Central
Processing Unit, CPU), which can also be other general processors, digital signal processor (Digital
Signal Processor, DSP), specific integrated circuit (Application Specific Integrated Circuit,
ASIC), ready-made programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic
Device, discrete gate or transistor logic, discrete hardware components etc..General processor can be microprocessor or this at
Reason device is also possible to any conventional processor etc..
The memory 1030 may include read-only memory and random access memory, and provide instruction to processor 1010
And data.The a part of of memory 1030 can also include nonvolatile RAM.For example, memory 1030 may be used also
With the information of storage device type.
In the specific implementation, provided by the embodiments of the present application be good for can be performed in processor 1010 described in the embodiment of the present application
Implementation described in the first embodiment and second embodiment of health appraisal procedure also can be performed the embodiment of the present application and be retouched
The implementation for the health evaluating device stated, details are not described herein.
A kind of computer readable storage medium is provided in another embodiment of the application, computer readable storage medium is deposited
Computer program is contained, computer program includes program instruction, and program instruction is executed by processor.:
Computer readable storage medium can be the internal storage unit of the health evaluating device of aforementioned any embodiment, example
Such as the hard disk or memory of health evaluating device.The external storage that computer readable storage medium is also possible to health evaluating device is set
Plug-in type hard disk that is standby, such as being equipped on health evaluating device, intelligent memory card (Smart Media Card, SMC), safe number
Word (Secure Digital, SD) card, flash card (Flash Card) etc..Further, computer readable storage medium may be used also
With the internal storage unit both including health evaluating device or including External memory equipment.Computer readable storage medium is for depositing
Other programs and data needed for storing up computer program and health evaluating device.Computer readable storage medium can be also used for
Temporarily store the data that has exported or will export.
Those of ordinary skill in the art may be aware that list described in conjunction with the examples disclosed in the embodiments of the present disclosure
Member and algorithm steps, can be realized with electronic hardware, computer software, or a combination of the two, in order to clearly demonstrate hardware
With the interchangeability of software, each exemplary composition and step are generally described according to function in the above description.This
A little functions are implemented in hardware or software actually, the specific application and design constraint depending on technical solution.Specially
Industry technical staff can realize described function to each specific application using different health evaluating methods, but this
Kind is realized it is not considered that exceeding scope of the present application.
It is apparent to those skilled in the art that for convenience of description and succinctly, foregoing description is good for
Health assesses the specific work process of device and unit, can refer to the corresponding process in aforementioned health evaluating embodiment of the method,
This is repeated no more.
In several embodiments provided herein, it should be understood that disclosed health evaluating device and health are commented
Estimate method, may be implemented in other ways.For example, the apparatus embodiments described above are merely exemplary, for example,
The division of unit, only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple units
Or component can be combined or can be integrated into another system, or some features can be ignored or not executed.In addition, showing
Show or the mutual coupling, direct-coupling or communication connection that discusses can be through some interfaces, between device or unit
Coupling or communication connection are connect, electricity, mechanical or other form connections are also possible to.
Unit may or may not be physically separated as illustrated by the separation member, shown as a unit
Component may or may not be physical unit, it can and it is in one place, or may be distributed over multiple networks
On unit.It can select some or all of unit therein according to the actual needs to realize the mesh of the embodiment of the present application scheme
's.
It, can also be in addition, each functional unit in each embodiment of the application can integrate in one processing unit
It is that each unit physically exists alone, is also possible to two or more units and is integrated in one unit.It is above-mentioned integrated
Unit both can take the form of hardware realization, can also realize in the form of software functional units.
It, can if integrated unit is realized in the form of SFU software functional unit and when sold or used as an independent product
To be stored in a computer readable storage medium.Based on this understanding, the technical solution of the application substantially or
Say that all or part of the part that contributes to existing technology or the technical solution can embody in the form of software products
Out, which is stored in a storage medium, including some instructions are used so that a computer equipment
(can be personal computer, health evaluating device or the network equipment etc.) executes each embodiment health evaluating side of the application
The all or part of the steps of method.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only
Memory), random access memory (RAM, Random Access Memory), magnetic or disk etc. are various can store journey
The medium of sequence code.
Claims (10)
1. a kind of health evaluating method characterized by comprising
Obtain the physiological age and real age of target disease incidence table, target user, the target disease incidence table note
The disease incident of corresponding target disease of each age is recorded, the physiological age is for describing the target user
The physical age of the practical aging degree of body that is to say that the expected target user suffers from the age of target disease, described true
Chronological Age is actual age of the target user from birth to illness, that is to say that the target user is practical and suffers from the target
The age of disease；
The target disease incidence table is compareed, corresponding first disease incident of physiological age of the target user is searched,
And corresponding second disease incident of real age of the target user；
Compare first disease incident and second disease incident, to assess the health point of the target user, institute
The health for stating target user divides health status for describing the target user.
2. the method according to claim 1, wherein first disease incident and described second
Disease incident, to assess the health point of the target user, comprising:
Calculate the ratio of first disease incident and the second disease incident；
The health point of the target user is assessed according to the size of the ratio, wherein the ratio and the target user
Health be divided into direct ratio.
3. according to the method described in claim 2, it is characterized in that, first disease incident and described second
Disease incident, to assess the health point of the target user, comprising:
Y=[(a/b) -1] × 100, the y are the health point, and a is first disease incident, and the b is described
Second disease incident.
4. according to right to require 1 described in method, which is characterized in that it is described after the acquisition target disease incidence table
Before the physiological age for obtaining the target user, further includes:
According to the physiological age of the estimated target user of the target disease incidence table.
5. according to right to require 4 described in method, which is characterized in that it is described according to the estimated institute of the target disease incidence table
State the physiological age of target user, comprising:
Target disease cumulative incidence table, the target disease cumulative incidence table are calculated according to the target disease incidence meter
Have recorded corresponding accumulative disease incident of each age；
The accumulative disease incident is greater than or equal to the minimal ages of preset threshold as the life as the target user
Manage the age.
6. the method according to claim 1, wherein the acquisition target disease incidence table, including；
Obtain the attribute of the target user；
Corresponding target disease incidence table is obtained according to the attribute of the target user.
7. according to claim 1 to method described in 6 any one, which is characterized in that the target disease incidence table is system
The age of each user's illness in the medical big data in medical insurance field is counted, and obtained each age corresponding disease occurs
The set of probability.
8. a kind of health evaluating device, which is characterized in that including for executing as claimed in any one of claims 1 to 7
The unit of method.
9. a kind of health evaluating device, which is characterized in that including processor and memory, the processor is mutually interconnected with memory
It connects, wherein the memory is for storing computer program, and the computer program includes program instruction, the processor quilt
It is configured to call described program instruction, to execute the method according to claim 1 to 7.
10. a kind of computer readable storage medium, which is characterized in that the computer storage medium is stored with computer program,
The computer program includes program instruction, and described program instruction makes the processor execute such as right when being executed by a processor
It is required that the described in any item methods of 1-7.
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| CN201811530505.3A CN109712712A (en) | 2018-12-13 | 2018-12-13 | A kind of health evaluating method, health evaluating device and computer readable storage medium |
| PCT/CN2019/095018 WO2020119098A1 (en) | 2018-12-13 | 2019-07-08 | Health evaluation method and apparatus, and computer readable storage medium |
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| CN201811530505.3A CN109712712A (en) | 2018-12-13 | 2018-12-13 | A kind of health evaluating method, health evaluating device and computer readable storage medium |
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