CN108281188B - Health state assessment system and device - Google Patents

Health state assessment system and device Download PDF

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CN108281188B
CN108281188B CN201810048230.3A CN201810048230A CN108281188B CN 108281188 B CN108281188 B CN 108281188B CN 201810048230 A CN201810048230 A CN 201810048230A CN 108281188 B CN108281188 B CN 108281188B
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evaluated object
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CN108281188A (en
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姜涵予
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Abstract

The invention provides a health state evaluation system and a device, wherein the system comprises: based on a pre-saved health state evaluation model and the health parameters, positioning the event dimension state of the evaluated object; locating a state of a risk point that caused the event dimension; locating a factor state that causes the event dimension; positioning the state of the risk point corresponding to the factor state; based on the multiple positions, the annotation combination corresponding to the health state of the evaluated object is obtained, so that the evaluated object can evaluate the health state of the evaluated object more accurately, and the health awareness of the evaluated object is further improved.

Description

Health state assessment system and device
Technical Field
The invention relates to the field of data processing, in particular to a health state evaluation system and a health state evaluation device.
Background
Along with the development of society, people pay more and more attention to their health status, however, there is no relatively accurate evaluation system for their health status on the market, so that people have serious deficiency in their own knowledge.
Disclosure of Invention
It is therefore an object of the present invention to provide a health status evaluation system and apparatus to alleviate the above problems.
In a first aspect, an embodiment of the present invention provides a health status evaluation system, where the system includes: acquiring basic information of an evaluated object, wherein the basic information comprises health parameters; based on a pre-saved health state evaluation model and the health parameters, positioning the event dimension state of the evaluated object; locating a state of a risk point that caused the event dimension; locating a factor state that causes the event dimension; positioning the state of the risk point corresponding to the factor state; and acquiring the annotation combination corresponding to the health state of the evaluated object based on the plurality of positions.
In a second aspect, an embodiment of the present invention provides a health status evaluation apparatus, including: the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring basic information of an evaluated object, and the basic information comprises health parameters; the evaluation module is used for positioning the event dimension state of the evaluated object, positioning the risk point state causing the event dimension, positioning the factor state causing the event dimension and positioning the risk point state corresponding to the factor state based on a pre-stored health state evaluation model and the health parameters; and the annotation acquisition module is used for acquiring an annotation combination corresponding to the health state of the evaluated object based on the plurality of positions.
Compared with the prior art, the health state evaluation system and the health state evaluation device provided by the embodiments of the invention have the beneficial effects that: obtaining basic information of an evaluated object, wherein the basic information comprises health parameters; based on a health state evaluation model comprising a four-layer structure and the health parameters which are saved in advance, positioning an event dimension state of the evaluated object, positioning a risk point state causing the event dimension, positioning a factor state causing the event dimension, and positioning a risk point state corresponding to the factor state; based on the multiple positions, the annotation combination corresponding to the health state of the evaluated object is obtained, so that the evaluated object can evaluate the health state of the evaluated object more accurately, and the health awareness of the evaluated object is further improved.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a block diagram of an electronic device according to an embodiment of the present invention;
FIG. 2 is a flow chart of a health status assessment system according to a first embodiment of the present invention;
FIG. 3 is a schematic diagram of a health assessment model of a health assessment system according to a first embodiment of the present invention;
FIG. 4 is a flow chart of another health status assessment system according to the first embodiment of the present invention;
fig. 5 is a block diagram of a health status evaluation apparatus according to a second embodiment of the present invention;
fig. 6 is a block diagram of another health status evaluation apparatus according to a first embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present invention, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
Fig. 1 is a block diagram of the electronic device 100. The electronic device 100 may be a Personal Computer (PC), a tablet PC, a smart phone, a Personal Digital Assistant (PDA), or the like. The electronic device 100 includes: the device comprises an integrated social adaptation ability evaluation device, a memory 110, a storage controller 120, a processor 130, a peripheral interface 140, an input/output unit 150, an audio unit 160 and a display unit 170.
The memory 110, the memory controller 120, the processor 130, the peripheral interface 140, the input/output unit 150, the audio unit 160, and the display unit 170 are electrically connected to each other directly or indirectly, so as to implement data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The health status evaluation device includes at least one software function module which may be stored in the memory 110 in the form of software or firmware (firmware) or fixed in an Operating System (OS) of the client device. The processor 130 is configured to execute an executable module stored in the memory 110, such as a software functional module or a computer program included in the health status assessment apparatus.
The Memory 110 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory 110 is configured to store a program, and the processor 130 executes the program after receiving an execution instruction, and the method executed by the electronic device 100 defined by the flow disclosed in any of the foregoing embodiments of the present invention may be applied to the processor 130, or implemented by the processor 130.
The processor 130 may be an integrated circuit chip having signal processing capabilities. The Processor 130 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The peripheral interface 140 couples various input/output devices to the processor 130 and to the memory 110. In some embodiments, peripheral interface 140, processor 130, and memory controller 120 may be implemented in a single chip. In other examples, they may be implemented separately from the individual chips.
The input and output unit 150 is used for providing input data to the user to realize the interaction of the user with the electronic device 100. The input/output unit 150 may be, but is not limited to, a mouse, a keyboard, and the like.
Audio unit 160 provides an audio interface to a user that may include one or more microphones, one or more speakers, and audio circuitry.
The display unit 170 provides an interactive interface (e.g., a user operation interface) between the electronic device 100 and a user or is used to display image data to a user reference. In this embodiment, the display unit 170 may be a liquid crystal display or a touch display. In the case of a touch display, the display can be a capacitive touch screen or a resistive touch screen, which supports single-point and multi-point touch operations. Supporting single-point and multi-point touch operations means that the touch display can sense touch operations from one or more locations on the touch display at the same time, and the sensed touch operations are sent to the processor 130 for calculation and processing.
First embodiment
Referring to fig. 2, fig. 2 is a flowchart illustrating a method of a health status assessment system according to a first embodiment of the present invention, where the method is applied to an electronic device. The flow shown in fig. 2 will be described in detail below, and the system includes:
step S110: acquiring basic information of an evaluated object, wherein the basic information comprises health parameters.
Wherein the health parameters may include gender, age, height, weight, lifestyle habits, eating habits, exercise habits, daily symptoms, health awareness, risk awareness, past medical history, family history, laboratory indicators, physical signs, etc., of the subject being evaluated.
As an embodiment, the electronic device may acquire the basic information of the evaluated object by entering pre-saved data. Wherein the pre-saved data may be: the electronic medical record information (comprising the past medical history, family history, laboratory indexes, physical signs and the like) or the health record information (comprising sex, age, height, weight and the like) or the daily health information (comprising living habits, eating habits, exercise habits, daily symptoms, health consciousness, risk consciousness and the like) of the evaluated object.
As another embodiment, the electronic device may also measure the physiological characteristic information of the evaluated object in real time through an external device to obtain the basic information, may also obtain the basic information through third-party data such as an electronic medical record, and may also directly obtain the basic information through input of the evaluated object.
Step S120: and positioning the current health state of the evaluated object based on a pre-saved health state evaluation model and the health parameters.
The electronic device may match a health state corresponding to the object to be evaluated from the health state evaluation model based on the acquired basic information.
Wherein, the pre-saved health state evaluation model is established with a health state analysis, risk points, causing factors and an incidence relation table of the causing risk points.
Further, locating the current health status of the subject under evaluation may include: locating a state of a risk point that caused the event dimension; locating a factor state that causes the event dimension; and positioning the state of the risk point corresponding to the factor state.
Further, referring to fig. 3, the health status evaluation model includes a first layer, a second layer, a third layer and a fourth layer, which respectively correspond to the health status analysis, the risk points, the causing factors and the associated relationships of the causing risk points.
Wherein the first layer is the top level event dimension (e.g. end point event, 24 health cycle, child physical development, mental and character development, feminine care, etc.), which can be divided into events, event status, trigger event factors, factor quantification/weight. The class a is identified as the event dimension, the class B is identified as the weight of the upper level event (the weight is preset), the class C is identified as the state of the upper level event, the class D is identified as the weight of the state (the weight is preset), the class E is identified as the factor causing the event, i.e. the parameter, and the class F is identified as the factor quantization value/weight (the weight is preset).
Assuming that the state identifier of a user in the cardiovascular event dimension is an end event "cardiovascular state, sub-health state, stroke state", the state identifier at this time is "axxgb 4. cyjkkd 3.enczf 3", "Axxg" represents the identifier code in the class a identifier and cardiovascular (xxg) event dimension, "B4" represents the class B identifier weight level of 4, and since the A, B class identifiers are a combination having close correlation, they are marked with "·" to distinguish them from the C, D class identifiers.
E. The class F identifiers represent the factors and the quantized values respectively at the first layer and change into events and event weights at the second layer, the class G identifiers are the states of the class E events, the class H identifiers are the weights of the states, the class I identifiers are the factors and parameters of the triggering events, and the class J identifiers are the quantized values/weights.
Assuming that the state identifier on the line is "stroke state, sub-health state, and hypertension state", the state identifier at this time is "EnczF 3.gyjkh3. igxyj2", and "EnczF 3" are the same as the first layer identifier, and the detailed meaning is the same as above.
I. The J-type identifiers respectively represent the bottom factor and the quantization value of the layer at the second layer, and change into the top event and the event weight at the third layer, the K-type identifiers are event states, the L-type identifiers are state weights, the M-type identifiers are factors causing I events, and the N-type identifiers are quantization values/weights of the M factors.
Assuming that the label at the third layer is "hypertension state, normal state, and genetic factor state", the state label at this time is "igxyj2. kctll 4. mycyn2", and "IgxyJ 2" is the same as the label at the bottom layer of the second layer, and the deduplication and archiving are performed in the end user state representation.
The M, N type labels represent the bottom factor and quantization value of the hierarchy respectively at the third level, and change to the top event and event weight at this level at the fourth level, the O type label is the trigger event factor, and the P type label is the trigger event factor quantization value/weight.
Assuming that the identifier at the fourth layer is "genetic factor status, father and mother diseased status", the user status identifier is "mycyn2. ofhmp 1" and "MycyN 2" is the same as the bottom identifier at the third layer, and deduplication and archiving are performed in the end user status representation.
Step S130: and acquiring the annotation combination corresponding to the health state of the evaluated object based on the plurality of positions.
Also by way of example, it can be found that the combination of annotations of the evaluated object is finally on one line of the cardiovascular end-point event, and the state index annotation set is axxgb4. cyjkdd 3.enczf3.gyjkh3.igxyj2. kctll 4.mycyn2.ofhmp 1.
As an embodiment, referring to fig. 4, the system may further include:
step S140: and generating a health measure corresponding to the annotation combination based on the annotation combination.
In addition, the health state evaluation model also stores a plurality of health measures corresponding to the annotation combination one by one, and the electronic equipment can obtain the corresponding health measures through matching based on the annotation combination and give corresponding solutions to the evaluated object.
In a health status evaluation system provided in a first embodiment of the present invention, basic information of an evaluated object is obtained, where the basic information includes health parameters; based on a health state evaluation model comprising a four-layer structure and the health parameters which are saved in advance, positioning an event dimension state of the evaluated object, positioning a risk point state causing the event dimension, positioning a factor state causing the event dimension, and positioning a risk point state corresponding to the factor state; based on the multiple positions, the annotation combination corresponding to the health state of the evaluated object is obtained, so that the evaluated object can evaluate the health state of the evaluated object more accurately, and the health awareness of the evaluated object is further improved.
Second embodiment
Referring to fig. 5, fig. 5 is a block diagram illustrating a health status evaluation apparatus 400 according to a second embodiment of the present invention. The block diagram of fig. 5 will be explained, and the apparatus shown comprises:
an obtaining module 410, configured to obtain basic information of the evaluated object, where the basic information includes a health parameter. For example, the obtaining module is configured to obtain basic information of the evaluated subject by entering pre-saved data, or measure physiological characteristic information of the evaluated subject in real time by using an external device. The pre-saved data is: electronic medical record information or health record information or daily health information of an evaluated object.
An evaluation module 420, configured to locate an event dimension state of the evaluated object, locate a risk point state causing the event dimension, locate a factor state causing the event dimension, and locate a risk point state corresponding to the factor state, based on a pre-stored health state evaluation model and the health parameters;
the annotation obtaining module 430 is configured to obtain an annotation combination corresponding to the health status of the evaluated object based on the multiple positions.
As an embodiment, please refer to fig. 6, the apparatus may further include:
a generating module 440, configured to generate a health measure corresponding to the annotation combination based on the annotation combination.
The apparatus further includes an establishing module 450, configured to establish an association relationship table of the health status analysis, the risk points, the causing factors, and the causing risk points, and establish a health status evaluation model.
In this embodiment, please refer to the contents described in the embodiments shown in fig. 1 to fig. 4 for the process of implementing each function of each functional module of the health status evaluation apparatus 400, which is not described herein again.
In summary, the health status evaluation system and apparatus provided in the embodiments of the present invention obtain basic information of an evaluated object, where the basic information includes health parameters; based on a health state evaluation model comprising a four-layer structure and the health parameters which are saved in advance, positioning an event dimension state of the evaluated object, positioning a risk point state causing the event dimension, positioning a factor state causing the event dimension, and positioning a risk point state corresponding to the factor state; based on the multiple positions, the annotation combination corresponding to the health state of the evaluated object is obtained, so that the evaluated object can evaluate the health state of the evaluated object more accurately, and the health awareness of the evaluated object is further improved.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, the functional modules in the embodiments of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes. It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (4)

1. A state of health assessment apparatus, characterized in that the apparatus comprises:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring basic information of an evaluated object, and the basic information comprises health parameters;
the establishment module is used for establishing a health state analysis, risk points, causing factors and an incidence relation table of the causing risk points and establishing a health state evaluation model;
the evaluation module is used for positioning the event dimension state of the evaluated object, positioning the risk point state causing the event dimension, positioning the factor state causing the event dimension and positioning the risk point state corresponding to the factor state based on the health state evaluation model and the health parameters which are saved in advance;
and the annotation acquisition module is used for acquiring an annotation combination corresponding to the health state of the evaluated object based on the plurality of positions.
2. The apparatus of claim 1, further comprising:
and the generating module is used for generating a health measure corresponding to the annotation combination based on the annotation combination.
3. The apparatus according to claim 2, wherein the obtaining module is configured to obtain basic information of the evaluated subject by entering pre-saved data, or measure physiological characteristic information of the evaluated subject in real time by an external device.
4. The apparatus of claim 3, wherein the pre-saved data is: electronic medical record information or health record information or daily health information of an evaluated object.
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CN113990506B (en) * 2021-10-29 2023-03-10 医渡云(北京)技术有限公司 Health state evaluation method, device, storage medium and computer system

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