WO2020093998A1 - 健康管理方法、装置及存储介质 - Google Patents

健康管理方法、装置及存储介质 Download PDF

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Publication number
WO2020093998A1
WO2020093998A1 PCT/CN2019/115688 CN2019115688W WO2020093998A1 WO 2020093998 A1 WO2020093998 A1 WO 2020093998A1 CN 2019115688 W CN2019115688 W CN 2019115688W WO 2020093998 A1 WO2020093998 A1 WO 2020093998A1
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WIPO (PCT)
Prior art keywords
marker
food
concentration
information
health management
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PCT/CN2019/115688
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English (en)
French (fr)
Inventor
张怡然
任建洪
杨梅
谢桂纲
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苏州帕诺米克生物医药科技有限公司
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Publication of WO2020093998A1 publication Critical patent/WO2020093998A1/zh

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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/60—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
    • G01N30/02—Column chromatography
    • G01N30/88—Integrated analysis systems specially adapted therefor, not covered by a single one of the groups G01N30/04 - G01N30/86
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • 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
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment

Definitions

  • the present disclosure relates to the field of analytical chemistry, and in particular, to a health management method, device, and storage medium.
  • the user's management of his own health information is based on the judgment results of metabolite detection in various samples obtained from the hospital.
  • the judgment results depend on the user's health knowledge, such as The doctor can analyze the examination results to determine the health status.
  • the medical service organization can also provide health management information to the user, and the medical server organization can analyze the metabolic products and other data in the user's biological sample to provide health management information.
  • This method usually uses manual methods to record the data and analyze each metabolite. Carrying out comparative analysis to obtain health management results without automated processing requires significant labor costs and wastes time.
  • the present disclosure proposes a health management method, device, and storage medium to automatically and quickly determine health management information, provide reasonable suggestions for the user's health, and enhance the user experience.
  • a health management method which includes:
  • Health management information is determined according to the concentration of the at least one marker, and the health management information includes at least dietary recommendation information.
  • the determining the health management information according to the concentration of the at least one marker includes:
  • the concentration of each marker determine the first content state of each of the markers in the biological sample, the first content state is used to indicate the lack of the marker;
  • a food weight matrix for the marker is established, wherein the second content state is Y represents the content range of the marker in the food, and the food weight matrix includes the weight value for each marker in each food;
  • the dietary recommendation information is determined based on the weight value for each marker in each food in the food weight matrix.
  • the food weights for the markers are established based on the stored second content state for each of the markers in the food and the first content state of each marker Matrix, including:
  • the food weight matrix is established.
  • the determining the dietary recommendation information based on the weight value for each marker in each food in the food weight matrix includes:
  • diet recommendation information is generated.
  • the determining the dietary recommendation information based on the weight value for each marker in each food in the food weight matrix includes:
  • the second preset threshold is less than the first preset threshold.
  • the determining the health management information according to the concentration of the at least one marker further includes: determining the user's health score according to the concentration of the at least one marker.
  • the determining the user's health score according to the concentration of the at least one marker includes:
  • a health score corresponding to the concentration of the at least one marker is determined.
  • the method further includes:
  • the method further includes:
  • a health management device including:
  • An acquisition module configured to acquire the concentration of at least one marker in the biological sample of the user, the marker being a component of the sample;
  • a determination module configured to determine health management information according to the concentration of the at least one marker, the health management information includes at least dietary recommendation information.
  • the determination module is further configured to determine the first content state of each marker in the biological sample according to the concentration of each marker, and
  • the first content state is used to indicate the lack of the marker
  • the second content state is used to indicate the content range of the marker in the food
  • the food weight matrix includes each food The weight value for each marker in.
  • the determination module is further configured to determine the food for each marker based on the first content state of each marker in the biological sample and the second content state of each marker in food Using the weights of each food for each marker to establish the food weight matrix.
  • the determination module is further configured to add the weight value of each food for each marker to obtain the weighted sum value of each food, and the weighted sum value is greater than
  • the food of the first preset threshold is determined as recommended food to generate dietary recommendation information based on the determined recommended food.
  • the determination module is further configured to determine the food whose weighted sum value is less than the second preset threshold as the food that needs to control the intake, based on the determined recommended food and needs Control intake of food to generate dietary recommendation information;
  • the second preset threshold is less than the first preset threshold.
  • the determination module is further configured to determine the user's health score according to the concentration of the at least one marker.
  • the obtaining module is further configured to obtain the correspondence between the stored health score and the concentration of the marker;
  • the determination module is further configured to determine a health score corresponding to the concentration of the at least one marker based on the correspondence.
  • the device further includes:
  • the receiving module receives the user's identification information
  • the acquiring module is further configured to acquire health management information corresponding to the identification information generated within a preset time.
  • the receiving module is further configured to receive user identification information and time information
  • the acquiring module is further configured to acquire health management information corresponding to the identification information within a time range corresponding to the time information.
  • a health management apparatus including: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to perform the method of the first aspect described above .
  • a non-volatile computer-readable storage medium on which computer program instructions are stored, wherein the computer program instructions implement the above-mentioned first aspect when executed by a processor method.
  • the embodiment of the present disclosure can obtain the concentration of the marker corresponding to at least one component in the biological sample of the user, and determine the health management information according to the concentration of the at least one marker.
  • the health information includes at least dietary recommendation information or a health score. Based on the above configuration, the embodiments of the present disclosure have the characteristics of convenient operation and high automation, can automatically and quickly determine health management information, and can provide an intuitive reference for the user's health management based on the provided health management information, enhancing the user experience .
  • FIG. 1 shows a flowchart of a health management method according to an embodiment of the present disclosure.
  • FIG. 2 shows a flowchart of acquiring the concentration of at least one marker in a biological sample of a user according to an embodiment of the present disclosure.
  • FIG. 3 shows a schematic waveform diagram of a peak area according to an embodiment of the present disclosure.
  • FIG. 4 shows a flowchart of determining health management information according to the concentration of the at least one marker according to an embodiment of the present disclosure.
  • FIG. 5 shows a distribution diagram of marker concentration ranges and people of different health categories according to an embodiment of the present disclosure.
  • FIG. 6 illustrates the establishment of food weights for the markers based on the stored second content state for each of the markers in the food and the first content state of each marker according to an embodiment of the present disclosure Matrix flowchart.
  • FIG. 7 shows a flowchart of determining the dietary recommendation information based on the weight value for each marker in each food in the food weight matrix according to an embodiment of the present disclosure.
  • FIG. 8 shows a structural diagram of an apparatus for health management according to an embodiment of the present disclosure.
  • FIG. 9 shows a structural diagram of an apparatus for health management according to an embodiment of the present disclosure.
  • FIG. 10 shows a structural diagram of an apparatus for health management according to an embodiment of the present disclosure.
  • FIG. 11 shows a structural diagram of an apparatus for health management according to an embodiment of the present disclosure.
  • the method of the embodiment of the present disclosure may be applied to a terminal or a server, where the terminal may be any handheld terminal or portable terminal, such as a computer, mobile phone, or tablet computer.
  • the server may include a local server or a cloud server.
  • any device that can execute the method of the embodiments of the present disclosure can serve as the above-mentioned terminal or server.
  • FIG. 1 is a flowchart of a health management method according to an embodiment of the present disclosure. As shown in FIG. 1, the health management method according to an embodiment of the present disclosure may include the following steps.
  • Step S100 Obtain the concentration of at least one marker in the biological sample of the user, where the marker is a component of the sample;
  • Step S200 Determine health management information according to the concentration of the at least one marker, the health management information includes at least dietary recommendation information.
  • Step S100 Obtain the concentration of at least one marker in the biological sample of the user, where the marker is a component of the sample.
  • the biological sample of the user may be a sample collected for the user, such as blood, urine, sweat, etc.
  • the sample may include various metabolites obtained by the user, that is, markers.
  • the marker may be any component substance in the sample.
  • the concentration of the marker may be the ratio of the content of the marker in the biological sample to the total amount of the biological sample, for example, may be the ratio of the quality of the marker to the total mass of all components of the biological sample, or may be the quality of the marker and the biological sample The ratio of the total volume.
  • the embodiment of the present disclosure may directly obtain the concentration data of at least one marker in the biological sample of the user from the database stored by the terminal or server executing the method.
  • the database can store the user ID and the sample data corresponding to the user ID.
  • the sample data can include the time when the sample was collected, the number of the biological sample, and the concentration of each marker in the biological sample, as long as it is an organism related to the user Sample information can be included in the database and stored in correspondence with the user identification.
  • Embodiments of the present disclosure may select the concentration data of at least one marker in the corresponding biological sample based on the received selection information, and the selection information may include information such as user identification, sample number, or marker identification, so as to uniquely correspond to the biological sample In the concentration.
  • the concentration data of at least one marker in the transmitted biological sample through a communication connection with other devices or servers, where the corresponding biological sample can also be obtained according to the information including the user identification or the sample number or the marker identification Concentration data of at least one marker.
  • the embodiment of the present disclosure may also obtain the concentration of at least one marker in the biological sample of the user by analyzing and comparing the markers in various types of samples.
  • the concentration of each marker can be determined by information such as the content and peak area value of each marker.
  • the markers in various types of samples may be analyzed in a manual or automated manner.
  • the analysis method in the prior art can be adopted to analyze the markers in various samples manually, and the disclosure does not limit this.
  • step S100 includes:
  • Step S110 Obtain sample data of at least one sample to be tested, where the sample data includes a user identifier corresponding to the sample to be tested, a marker identifier to be tested, and first information, where the first information is used to determine the marker to be tested The peak area value of the substance;
  • Step S120 Obtain a standard curve corresponding to the marker to be tested in the sample to be tested, the standard curve including the correspondence between the concentration of the marker in the sample to be tested and the peak area value of the marker;
  • Step S130 Based on the standard curve and the first information, determine the concentration of the test marker in each test sample.
  • the sample to be tested may be a biological sample collected by the user, such as blood, urine, sweat, etc.
  • the sample data may be data information about the sample to be tested, which may include user information corresponding to the sample to be tested and the sample to be tested.
  • the component information in the sample, the information of the marker to be detected in the sample to be tested, etc., through the above sample data, the source of the sample to be tested, the marker to be analyzed, and the relevant information of each component of the sample can be easily identified.
  • the sample data in the embodiment of the present disclosure may include a user identifier corresponding to the sample to be tested, the identifier of the marker to be tested, and first information, where the first information may be used to determine the peak area value of the marker to be tested.
  • the user ID may be used to uniquely determine the user corresponding to the sample to be tested, for example, the user ID may be information such as the user name or user number.
  • the marker to be tested may be a substance or element to be detected and analyzed in the sample to be tested, wherein the identifier of the marker to be tested may be used to uniquely determine the substance or element, for example, the marker to be tested may be the name of the marker or the chemical structural formula.
  • the embodiments of the present disclosure before performing quantitative analysis, it is necessary to obtain sample data of a sample to be tested that needs to be analyzed.
  • the embodiments of the present disclosure can implement analysis of sample data of multiple users, and thus can simultaneously obtain sample data of at least one sample to be tested.
  • the at least one sample to be tested may be different samples of one user at the same time, or samples corresponding to different users, that is, the present disclosure may realize automatic analysis of different samples of the same user, or automatic analysis of samples of different users.
  • the method for obtaining the sample data of the sample to be tested in the embodiment of the present disclosure may include: selecting the sample data of the sample to be tested from the stored data, and / or receiving the transmitted sample data of the sample to be tested.
  • the sample data of the samples of each user to be tested can be stored in the memory, and when performing the corresponding quantitative analysis, the corresponding sample data can be selected based on the selection information, which can include the user identification, sample number, etc. Information in order to uniquely correspond to the sample data.
  • the transmitted sample data can also be obtained by connecting with other devices or servers, and the corresponding sample data can also be obtained according to the information including the user identification or the sample number.
  • the sample data may also include first information, which may be used to determine the peak area value of the marker to be tested in the sample to be tested.
  • the first information includes the peak area value of the above-mentioned marker to be measured, and may also include a parameter related to the peak area value, and the peak area value is determined using the parameter, for example, the first information may include the chromatographic value of the marker to be measured , The peak area value of the marker to be measured can be obtained according to the chromatographic value.
  • Fig. 3 shows a schematic waveform diagram of peak areas of different components in a sample.
  • a sample to be tested may contain multiple components to be tested, such as component A and group in Fig. 3 Divided into B, etc., in which the chromatographic detection analysis can be performed by using a mass spectrometry multiple reaction monitoring (MRM) analysis method for the sample to be tested.
  • MRM mass spectrometry multiple reaction monitoring
  • the peak area of the markers to be tested (such as component A and component B) is the total area of the closed graphic part surrounded by the peak curve and the X coordinate axis in the chromatogram used in the chromatographic quantitative analysis.
  • the peak area of the substance indicates the content of the marker to be tested (such as component A and component B), wherein the larger the peak area, the higher the content of the marker to be tested (such as component A and component B).
  • a standard curve corresponding to the marker to be tested of the sample data can be obtained, that is, step S102 is executed.
  • the standard curve may include a standard correspondence between the concentration of the marker in the sample to be measured and the peak area value of the marker.
  • the method for obtaining the standard curve may include: directly querying the standard curve corresponding to the known test marker according to the test marker identifier of the test sample in the database, or may be found in the database according to the test marker identifier The peak area value and concentration value of the marker of the standard sample of the marker to be tested, and linear regression calculation is performed according to the corresponding relationship between the peak area value of the marker and each concentration value to establish a standard curve.
  • the concentration of the marker to be tested corresponding to the peak area value of the marker to be determined determined by the first information may be obtained according to the standard curve. Since the embodiments of the present disclosure can acquire the standard curves of the markers in different samples, the quantitative analysis of different samples to be tested can be performed simultaneously.
  • the embodiments of the present disclosure can achieve simultaneous acquisition of sample data of multiple samples to be tested, and can automatically perform quantitative analysis on these acquired sample data using a pre-obtained standard curve, so as to obtain corresponding marks in the samples to be tested The concentration of the substance.
  • the above specific method for obtaining the concentration of at least one marker in the biological sample of the user is not specifically limited in the embodiments of the present disclosure.
  • the embodiment of the present disclosure may determine the health management information according to the acquired concentration of the at least one marker, that is, step S200 is executed.
  • Step S200 Determine health management information according to the concentration of the at least one marker, the health management information includes at least dietary recommendation information.
  • the health management information may be information provided to the user for the user to understand their own physical health indicators, which may include the user's basic information, such as name, gender, age, ethnicity, place of usual residence, and lifestyle information such as whether smoking or drinking.
  • the health management information of the embodiment of the present disclosure may further include the lack of information corresponding to the concentration of each marker corresponding to the acquired biological sample of the user and the content of the concentration in the human body, for example, the content of the component A concentration in the human body belongs to Lack, excess or normal level information. You can use symbols to express the lack of information, such as +,-, or you can use tags to express the lack of information, such as anemia, high fat, and so on.
  • the health management information may also include recommendation information, such as recommendations for the next inspection time.
  • the embodiments of the present disclosure can determine the current health status of the user based on the acquired concentration information of each marker and give corresponding health advice.
  • the health management information may further include dietary recommendation information, such as a diet plan within a preset time.
  • FIG. 4 shows a flowchart of determining health management information according to the concentration of the at least one marker according to an embodiment of the present disclosure.
  • step S200 may include:
  • Step 210 Determine the first content state of each of the markers in the biological sample according to the concentration of each marker, where the first content state is used to indicate the lack of the marker;
  • Step 220 Establish a food weight matrix for the markers based on the stored second content state for each of the markers in the food, and the first content state of each of the markers, wherein the second The content status is used to indicate the content range of the marker in the food, and the food weight matrix includes the weight value for each marker in each food;
  • Step 230 Determine the dietary recommendation information based on the weight value for each marker in each food in the food weight matrix.
  • Step 210 Determine the first content state of each of the markers in the biological sample according to the concentration of each marker, where the first content state is used to indicate the lack of the marker.
  • the embodiments of the present disclosure may set a standard first content state correspondence table for each type of marker, where the first content state correspondence table includes multiple markers.
  • Each range interval, and the content state of the marker corresponding to each range region, the content state indicates the lack of the marker.
  • Table 1 records the relationship between the range of the concentration of different markers in the human body and the degree of lack of the markers and the corresponding different health categories.
  • five range intervals may be set for each type of marker, and the five range intervals correspond to five content states, respectively.
  • the five range intervals may include a first interval (a, b), a second interval (b, c), a third interval (c, d), a fourth interval (d, e), and a fifth interval (e, f ),
  • a, b, c, d, e, and f are values representing the range of each interval, and a is less than b, b is less than c, c is less than d, d is less than e, and e is less than f.
  • the first interval (a, b) indicates that the content of the marker is severely deficient
  • the second interval (b, c) indicates that the content of the marker is relatively deficient
  • the third interval (c, d) indicates that The content status of the marker is within the normal range.
  • the fourth interval (d, e) indicates that the content status of the marker is relatively excessive
  • the fifth interval (e, f) indicates that the content status of the marker is severely exceeded.
  • the first content state correspondence table of the set standard of the marker can be obtained first, and according to the range of the concentration of the marker Interval, determine the first content state of the marker.
  • the embodiment of the present disclosure can also determine the health information of the corresponding user according to the range of the acquired marker concentration, for example, the standard first content status correspondence table can also include the health category corresponding to each interval, such as As shown in the right column of Table 1, when the concentration of the acquired marker is in the first interval or the fifth interval, it indicates that the user's health category is high risk, and the concentration of the acquired marker is in the second interval or the fourth In the interval, it indicates that the user's health category is sub-health, and when the concentration of the acquired marker is in the third interval, the user's health category is healthy.
  • the standard first content status correspondence table can also include the health category corresponding to each interval, such as As shown in the right column of Table 1, when the concentration of the acquired marker is in the first interval or the fifth interval, it indicates that the user's health category is high risk, and the concentration of the acquired marker is in the second interval or the fourth In the interval, it indicates that the user's health category is sub-health, and when the concentration of the acquired marker is in the third interval
  • the content status (lack of level) of the marker be determined according to the obtained marker concentration, but also the corresponding determination of the user's health category based on the marker can be made, enabling a more comprehensive health analysis of the user.
  • FIG. 5 shows a distribution diagram of the concentration range of markers and populations of different health categories according to an embodiment of the present disclosure.
  • the distribution of populations of different health categories divided according to the concentration range of the markers is a standard positive Pacific curve distribution, where a, b, c, d, e, and f respectively represent a certain concentration value of the marker, and the range of each abscissa and the area enclosed by the curve represents the corresponding number of people in the corresponding concentration range, and the number of such people belongs to the same Health categories, such as high-risk people, sub-healthy people, or normal healthy people.
  • the first content state of the concentration value of the marker that is, the lack of the marker, and the corresponding health category can be determined according to the correspondence relationship in Table 1 and the concentration value of the obtained marker.
  • the content described in Table 1 and FIG. 5 in the embodiment of the present disclosure can be stored in the device, that is, the database can store the standard first content status correspondence table that can store each marker in the human body.
  • the correspondence table may be directly obtained to determine the first content state and the health category corresponding to the concentration of the marker.
  • step S220 After acquiring the first content state of the marker, the food weight matrix for the marker is established based on the stored second content state for each of the markers in the food, that is, step S220 is executed.
  • An embodiment of the present disclosure may also store a second content state correspondence table, which may include a food content and the second content state of various types of markers contained in the food corresponding to the food content.
  • the content state is used to indicate the content range of each marker included in a food, for example, the content of protein in soybean, the content of fat, etc.
  • the second content state of the embodiment of the present disclosure may include multiple levels, and each level corresponds to a content range interval.
  • each level corresponds to a content range interval.
  • it may include three levels (first level, second level, and third level), where the first level indicates the low content of the corresponding marker included in the food, for example, the content range corresponding to the first level is 65% -80%, if the concentration of a marker in the food is within the content range of the first level, then for the marker, the food is a low content food; the second level indicates that the corresponding food included in the food
  • the content of the marker is medium, for example, the content range corresponding to the first level is between 65% and 80%.
  • the concentration of a marker in the food is within the content range of the second level, then the marker Said that the food is a medium content food; the third level indicates that the content of the corresponding marker included in the food is high content, for example, the content range corresponding to the third level is between 80% and 100%, if the food If the concentration of the marker is within the content range of the third level, then for the marker, the food is a high-content food. According to the above correspondence, the second content state of each marker in the food can be determined.
  • the device that executes the method of the embodiment of the present disclosure may directly obtain the second content state for each of the markers in the food from the second content state correspondence table stored in the device, or may be obtained by connecting to another device or server Regarding the second content state of each of the markers in the food.
  • the embodiments of the present disclosure may establish a target for the markers based on the first content state of each marker in the biological sample and the second content state of each marker in food as described above
  • a food weight matrix which includes weight values for each marker in each food.
  • FIG. 6 illustrates the establishment of food weights for the markers based on the stored second content state for each of the markers in the food and the first content state of each marker according to an embodiment of the present disclosure Matrix flowchart.
  • establishing a food weight matrix for the markers may include:
  • Step S221 based on the first content state of each marker in the biological sample and the second content state of each marker in food, determine the weight value of the food for each marker;
  • Step S222 using the weight value of each food for each marker to establish the food weight matrix.
  • the first content state of the marker for the user can be determined according to the concentration of the obtained marker, and at the same time, the second content state of the marker included in each food can be obtained, based on which The weight value of each food for the marker is determined according to the first content state and each second content state.
  • the method for determining the weight of the food for the marker may include: determining the weight of the food for the marker according to the interval range corresponding to the first content state and the content level corresponding to the second content state value.
  • the food is assigned a first weight or a second weight, where the first weight is less than the second weight, for example, if the first weight can be -3, the second weight can be 1, if If the second content state of the food including the marker is the second level or the third level, the food is assigned a third weight value (3).
  • the numerical values of the weights in the embodiments of the present disclosure can be set according to requirements. The present disclosure does not limit this, as long as the first weight is less than the second weight and the second weight is less than the third weight The embodiment is disclosed.
  • the food including the marker may be assigned a second weight value.
  • the food is assigned a third weight, for example, the third weight may be 3, and if the second content state of the food including the marker is the second or third level, the food is assigned the first weight
  • the weight or the second weight, the first weight may be -3, and the second weight may be 1.
  • the numerical values of the weights in the embodiments of the present disclosure can be set according to requirements. The present disclosure does not limit this, as long as the first weight is less than the second weight and the second weight is less than the third weight The embodiment is disclosed.
  • the weight of each marker relative to each food can be obtained.
  • markers 1, 2, 3 respectively represent the markers contained in the biological sample, and the disclosure does not limit the number of markers.
  • Foods 1, 2, and 3 respectively represent different foods, such as corn, soybeans, etc.
  • the embodiments of the present disclosure also limit the types of foods.
  • the second content status of the marker in each food is separately obtained, and the weight value of a certain food corresponding to the marker is determined.
  • a weight matrix can be established according to the weights.
  • the weight matrix corresponding to Table 2 can be
  • diet recommendation information can be determined according to the weight value, that is, step S230 is performed.
  • Embodiments of the present disclosure may determine the dietary recommendation information by calculating the weight of each marker in each food in the food weight matrix based on specific rules, for example, the weight of each food corresponding to each marker may be weighted Sum or average, etc., and determine dietary recommendation information based on the obtained scores for each food.
  • the embodiments of the present disclosure may also determine the score of the food in other ways, which is not limited in the present disclosure.
  • FIG. 7 shows a flowchart of determining the dietary recommendation information based on the weight value for each marker in each food in the food weight matrix according to an embodiment of the present disclosure.
  • the determining the dietary recommendation information based on the weight value of each food in each food in the food weight matrix may include:
  • Step S231 Summing the weights of each food for each marker to obtain the weighted sum of each food
  • Step S232 Determine the food whose weighted sum value is greater than the first preset threshold as the recommended food
  • Step S233 Generate dietary recommendation information based on the determined recommended food.
  • the first preset threshold may be a value indicating that a certain food reaches the recommended standard, for example, it may be set to 3, or may be set to other values.
  • the embodiments of the present disclosure may be set according to the quantity and demand of food.
  • the weights of each food for each marker can be added to obtain the weighted sum of each food, which can be used as the score of the food. Therefore, the food with a higher score can be used as a recommendation food.
  • the food whose weighted sum value is less than the second preset threshold may be determined as the food that needs to control the intake, where the second preset threshold may be a value indicating that the diet control standard is reached , Which can be less than the first preset threshold, for example, it can be set to 0, and the food that needs to be controlled for intake represents food that can no longer be ingested or a type of food that is reduced in intake.
  • the food may be determined as food for normal consumption, that is, the intake of the food may be kept unchanged .
  • the weights of all foods may also be sorted.
  • the top ranked food is a list of recommended foods, and the food ranked last is selected as the food that needs to be controlled for intake.
  • the food in the middle position is the normal food.
  • the weights corresponding to all the markers are added separately.
  • the weights 3 corresponding to the markers 1 corresponding to food 1 are added.
  • the weight 3 corresponding to the marker 2, the weight 3 corresponding to the marker 3, and the weight 3 corresponding to the marker 4 are summed to be 12, and the summed value is judged to be 12, that is, the score of the food 1 is 12, which is greater than the first
  • the preset threshold value 3 determines that the food is a recommended food type.
  • the weight 3 corresponding to the marker 1 corresponding to the food 2 For food 2 in Table 2, the weight 3 corresponding to the marker 1 corresponding to the food 2, the weight corresponding to the marker 2, the weight corresponding to the marker 3 -3, and the weight corresponding to the marker 4 1
  • the sum is 2 and the sum value 2 is judged, that is, the score of food 2 is 2, which is less than the second preset threshold 3 and greater than the second preset threshold 0, and the food is determined to be a type of food normally ingested.
  • the weight 3 corresponding to the marker 1 corresponding to the food 1 the weight-3 corresponding to the marker 2
  • the weight-3 corresponding to the marker 3 and the weight corresponding to the marker 4 are respectively
  • the sum of the value 1 is -2, and the sum value of -2 is judged, which is less than the preset second threshold 0.
  • the food is judged to be a type of food that needs to be controlled for intake.
  • the food will not be recommended or reduced. Ingest.
  • the embodiment of the present disclosure obtains food types that can be recommended and food types that are not recommended, and reflects them in health management information,
  • the embodiment of the present disclosure may determine the user's health score according to the concentration of the at least one marker.
  • the user's health score is a reflection of the user's health status. If the health score is low, it indicates that the user's health status has hidden dangers and needs to be reviewed in the hospital.
  • An embodiment of the present disclosure may set a health score threshold in advance, and when the user's health score (for example, 65 points, 100 points out of 100 points) is lower than the preset risk health threshold, the user is prompted to recheck.
  • the determining the user's health score according to the concentration of the at least one marker includes:
  • a health score corresponding to the concentration of the at least one marker is determined.
  • the interval range corresponding to the first content state of the marker can correspond to a corresponding health category.
  • the embodiment of the present disclosure can set a health score for each health category, that is, the embodiment of the present disclosure can be obtained from the database Obtain and obtain the correspondence between the stored health score and the concentration of the marker.
  • the health score corresponding to the high-risk category may be a score of 0-40
  • the health score corresponding to the sub-health category may be a score of 40-70
  • the health score corresponding to the health may be one of 70-100 Score. Therefore, when acquiring the concentration of the marker, the user's health score corresponding to the concentration of the marker can be determined.
  • the above-mentioned health scores are merely illustrative of the correspondence between the concentration of the markers and the health scores, and are not intended as specific limitations of the embodiments of the present disclosure.
  • the embodiment of the present disclosure can pre-store the correspondence between the health score and the concentration of each marker, and for each marker concentration, the corresponding health score can be searched, and then the health scores corresponding to all the markers can be based on the specific The rules of determine the user's health score, for example, add or average the health scores corresponding to each marker to obtain the user's total score.
  • the health management information method of the embodiment of the present disclosure may also obtain corresponding health management information according to the received user identification information or according to the received user identification information and time information.
  • the method for health management information according to an embodiment of the present disclosure may further include:
  • the user's identifier may be an identifier that uniquely identifies the user, for example, the user's name, mobile phone number, etc., which is stored in correspondence with the concentration of the marker in the user's biological sample to mark which user's biological sample corresponds to the marker,
  • the determined dietary recommendation information or health score information may also be stored corresponding to the user identification.
  • the health management information corresponding to the identification information can be obtained from the database according to the user's identification.
  • An embodiment of the present disclosure may set a preset time.
  • the preset time may be a time for the user to perform a physical examination, which may indicate a time corresponding to the user ’s desire to obtain their health management information, for example, may be when the user collects a biological sample Time information, use the time information as the preset time.
  • the embodiments of the present disclosure may query the preset time information corresponding to the collected biological sample according to the received user identification information, and obtain the health management information corresponding to the identification information generated within the preset time.
  • the method for health management information according to an embodiment of the present disclosure may further include:
  • the time information may be a time period information, or may be time information sent from a client of the user, which indicates that the user wants to inquire about his health status in a certain time period.
  • Embodiments of the present disclosure may query the corresponding time information within the corresponding time information according to the received user identification information and time information to obtain the corresponding health management information when acquiring the biological samples detected in the past, and generate the final health management information.
  • the health management information of may include the most recent dietary recommendations and previous health scores, and a time-based change trend chart of health scores generated according to the previous health scores, so that the user can be provided with the corresponding health changes of the user To enhance the user experience.
  • the embodiment of the present disclosure may determine the health management information including the dietary recommendation letter or the health score information according to the concentration of at least one marker corresponding to each component in the acquired biological sample.
  • the embodiment of the present disclosure may execute Multi-component analysis to obtain the concentration of at least one marker to determine health management information has the characteristics of more convenient and high-precision analysis, which allows users to intuitively understand their own health and enhance the user experience.
  • the present disclosure also provides a health management device, a computer-readable storage medium, and a program, all of which can be used to implement any of the health management methods provided by the present disclosure. Repeat.
  • FIG. 8 shows a block diagram of a health management device according to an embodiment of the present disclosure.
  • the device may be applied to a terminal, for example, a computer, a mobile phone, or a tablet computer. As shown in FIG. 8, the device may include:
  • the obtaining module 100 is configured to obtain the concentration of at least one marker in the biological sample of the user, where the marker is a component of the sample;
  • the determining module 200 is configured to determine health management information according to the concentration of the at least one marker, the health management information includes at least dietary recommendation information.
  • the determination module 200 is further configured to determine the first content state of each of the markers in the biological sample according to the concentration of each marker, and
  • the first content state is used to indicate the lack of the marker
  • the second content state is used to indicate the content range of the marker in the food
  • the food weight matrix includes each food The weight value for each marker in.
  • the determination module 200 is further configured to determine the food content for each marker based on the first content state of each marker in the biological sample and the second content state of each marker in the food Weights, and use the weights of each food for each marker to establish the food weight matrix.
  • the determination module 200 is further configured to add the weight value of each food for each marker to obtain the weighted sum value of each food, and the weighted sum value is greater than the first
  • the food with the preset threshold is determined as the recommended food to generate dietary recommendation information based on the determined recommended food.
  • the determining module 200 is further configured to determine the food whose weighted sum value is less than the second preset threshold as the food that needs to control the intake, based on the determined recommended food and the need to control Ingested food generates dietary recommendation information;
  • the second preset threshold is less than the first preset threshold.
  • the determination module 200 is further configured to determine the user's health score according to the concentration of the at least one marker.
  • the obtaining module 100 is further configured to obtain the correspondence between the stored health score and the concentration of the marker;
  • the determination module is further configured to determine a health score corresponding to the concentration of the at least one marker based on the correspondence.
  • FIG. 9 shows a structural diagram of an apparatus for health management according to an embodiment of the present disclosure.
  • the health management device of the embodiment of the present disclosure further includes:
  • the receiving module 300 receives user identification information
  • the acquiring module is further configured to acquire health management information corresponding to the identification information generated within a preset time.
  • the receiving module 100 is further configured to receive user identification information and time information;
  • the acquiring module is further configured to acquire health management information corresponding to the identification information within a time range corresponding to the time information.
  • FIG. 10 shows a structural diagram of an apparatus for health management according to an embodiment of the present disclosure.
  • the device 800 may be a mobile phone, a computer, a digital broadcasting terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, and so on.
  • the device 800 may include one or more of the following components: a processing component 802, a memory 804, a power component 806, a multimedia component 808, an audio component 810, an input / output (I / O) interface 812, a sensor component 814, ⁇ ⁇ ⁇ 816.
  • the processing component 802 generally controls the overall operations of the device 800, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations.
  • the processing component 802 may include one or more processors 820 to execute instructions to complete all or part of the steps in the above method.
  • the processing component 802 may include one or more modules to facilitate interaction between the processing component 802 and other components.
  • the processing component 802 may include a multimedia module to facilitate interaction between the multimedia component 808 and the processing component 802.
  • the memory 804 is configured to store various types of data to support operation at the device 800. Examples of such data include instructions for any application or method operating on the device 800, contact data, phone book data, messages, pictures, videos, and so on.
  • the memory 804 may be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read only memory (EEPROM), erasable and removable Programmable read only memory (EPROM), programmable read only memory (PROM), read only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.
  • SRAM static random access memory
  • EEPROM electrically erasable programmable read only memory
  • EPROM erasable and removable Programmable read only memory
  • PROM programmable read only memory
  • ROM read only memory
  • magnetic memory flash memory
  • flash memory magnetic disk or optical disk.
  • the power supply component 806 provides power to various components of the device 800.
  • the power supply component 806 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the device 800.
  • the multimedia component 808 includes a screen that provides an output interface between the device 800 and the user.
  • the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user.
  • the touch panel includes one or more touch sensors to sense touch, swipe, and gestures on the touch panel. The touch sensor may not only sense the boundary of the touch or sliding action, but also detect the duration and pressure related to the touch or sliding operation.
  • the multimedia component 808 includes a front camera and / or a rear camera. When the device 800 is in an operation mode, such as a shooting mode or a video mode, the front camera and / or the rear camera may receive external multimedia data. Each front camera and rear camera can be a fixed optical lens system or have focal length and optical zoom capabilities.
  • the audio component 810 is configured to output and / or input audio signals.
  • the audio component 810 includes a microphone (MIC).
  • the microphone When the device 800 is in an operation mode, such as a call mode, a recording mode, and a voice recognition mode, the microphone is configured to receive an external audio signal.
  • the received audio signal may be further stored in the memory 804 or transmitted via the communication component 816.
  • the audio component 810 further includes a speaker for outputting audio signals.
  • the I / O interface 812 provides an interface between the processing component 802 and a peripheral interface module.
  • the peripheral interface module may be a keyboard, a click wheel, or a button. These buttons may include but are not limited to: home button, volume button, start button, and lock button.
  • the sensor component 814 includes one or more sensors for providing the device 800 with status assessment in various aspects.
  • the sensor component 814 can detect the on / off state of the device 800, and the relative positioning of the components, for example, the component is the display and keypad of the device 800, and the sensor component 814 can also detect the position change of the device 800 or a component of the device 800 The presence or absence of user contact with the device 800, the orientation or acceleration / deceleration of the device 800, and the temperature change of the device 800.
  • the sensor assembly 814 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact.
  • the sensor component 814 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications.
  • the sensor component 814 may further include an acceleration sensor, a gyro sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
  • the communication component 816 is configured to facilitate wired or wireless communication between the device 800 and other devices.
  • the device 800 can access a wireless network based on a communication standard, such as WiFi, 2G, or 3G, or a combination thereof.
  • the communication component 816 receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel.
  • the communication component 816 also includes a near field communication (NFC) module to facilitate short-range communication.
  • the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
  • RFID radio frequency identification
  • IrDA infrared data association
  • UWB ultra-wideband
  • Bluetooth Bluetooth
  • the apparatus 800 may be one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable A gate array (FPGA), controller, microcontroller, microprocessor or other electronic components are implemented to perform the above method.
  • ASICs application specific integrated circuits
  • DSPs digital signal processors
  • DSPDs digital signal processing devices
  • PLDs programmable logic devices
  • FPGA field programmable A gate array
  • controller microcontroller, microprocessor or other electronic components are implemented to perform the above method.
  • a non-volatile computer-readable storage medium is also provided, for example, a memory 804 including computer program instructions, which can be executed by the processor 820 of the device 800 to complete the above method.
  • FIG. 11 shows a structural diagram of an apparatus for health management according to an embodiment of the present disclosure.
  • the device 1900 may be provided as a server.
  • the apparatus 1900 includes a processing component 1922, which further includes one or more processors, and memory resources represented by the memory 1932 for storing instructions executable by the processing component 1922, such as application programs.
  • the application programs stored in the memory 1932 may include one or more modules each corresponding to a set of instructions.
  • the processing component 1922 is configured to execute instructions to perform the above method.
  • the device 1900 may also include a power component 1926 configured to perform power management of the device 1900, a wired or wireless network interface 1950 configured to connect the device 1900 to the network, and an input / output (I / O) interface 1958.
  • the device 1900 can operate based on an operating system stored in the memory 1932, such as Windows ServerTM, Mac OSXTM, UnixTM, LinuxTM, FreeBSDTM or the like.
  • a non-volatile computer-readable storage medium is also provided, for example, a memory 1932 including computer program instructions, which can be executed by the processing component 1922 of the device 1900 to complete the above method.
  • the present disclosure may be a system, method, and / or computer program product.
  • the computer program product may include a computer-readable storage medium loaded with computer-readable program instructions for causing the processor to implement various aspects of the present disclosure.
  • the computer-readable storage medium may be a tangible device that can hold and store instructions used by the instruction execution device.
  • the computer-readable storage medium may be, but is not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing.
  • Computer-readable storage media include: portable computer disks, hard disks, random access memory (RAM), read only memory (ROM), and erasable programmable read only memory (EPROM (Or flash memory), static random access memory (SRAM), portable compact disk read-only memory (CD-ROM), digital versatile disk (DVD), memory stick, floppy disk, mechanical coding device, such as a computer on which instructions are stored
  • RAM random access memory
  • ROM read only memory
  • EPROM erasable programmable read only memory
  • SRAM static random access memory
  • CD-ROM compact disk read-only memory
  • DVD digital versatile disk
  • memory stick floppy disk
  • mechanical coding device such as a computer on which instructions are stored
  • the convex structure in the hole card or the groove and any suitable combination of the above.
  • the computer-readable storage medium used herein is not to be interpreted as a transient signal itself, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (for example, optical pulses through fiber optic cables), or through wires The transmitted electrical signal.
  • the computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to various computing / processing devices, or to an external computer or external storage device through a network, such as the Internet, a local area network, a wide area network, and / or a wireless network.
  • the network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers.
  • the network adapter card or network interface in each computing / processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in the computer-readable storage medium in each computing / processing device .
  • Computer program instructions for performing the operations of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state setting data, or in one or more programming languages Source code or object code written in any combination.
  • the programming languages include object-oriented programming languages such as Smalltalk, C ++, etc., and conventional procedural programming languages such as "C" language or similar programming languages.
  • Computer readable program instructions can be executed entirely on the user's computer, partly on the user's computer, as an independent software package, partly on the user's computer and partly on a remote computer, or completely on the remote computer or server carried out.
  • the remote computer may be connected to the user's computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (eg, using an Internet service provider to pass the Internet connection).
  • electronic circuits such as programmable logic circuits, field programmable gate arrays (FPGAs) or programmable logic arrays (PLA), can be personalized by utilizing the status information of computer-readable program instructions, which can be Computer-readable program instructions are executed to implement various aspects of the present disclosure.
  • These computer-readable program instructions can be provided to the processor of a general-purpose computer, special-purpose computer, or other programmable data processing device, thereby producing a machine that causes these instructions to be executed by the processor of a computer or other programmable data processing device A device that implements the functions / actions specified in one or more blocks in the flowchart and / or block diagram is generated.
  • the computer-readable program instructions may also be stored in a computer-readable storage medium. These instructions enable the computer, programmable data processing apparatus, and / or other devices to work in a specific manner. Therefore, the computer-readable medium storing the instructions includes An article of manufacture that includes instructions to implement various aspects of the functions / acts specified in one or more blocks in the flowchart and / or block diagram.
  • the computer-readable program instructions can also be loaded onto a computer, other programmable data processing apparatus, or other equipment, so that a series of operating steps are performed on the computer, other programmable data processing apparatus, or other equipment to produce a computer-implemented process , So that the instructions executed on the computer, other programmable data processing device, or other equipment implement the functions / acts specified in one or more blocks in the flowchart and / or block diagram.
  • each block in the flowchart or block diagram may represent a module, program segment, or part of an instruction, and the module, program segment, or part of an instruction contains one or more Executable instructions.
  • the functions marked in the blocks may also occur in an order different from that marked in the drawings. For example, two consecutive blocks can actually be executed substantially in parallel, and sometimes they can also be executed in reverse order, depending on the functions involved.
  • each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts can be implemented with dedicated hardware-based systems that perform specified functions or actions Or, it can be realized by a combination of dedicated hardware and computer instructions.

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Abstract

一种健康管理方法、装置及存储介质，该方法包括获取用户的生物样本中至少一个标志物的浓度，所述标志物为所述样本中的组成成分(S100)；根据所述至少一个标志物的浓度确定健康管理信息，所述健康管理信息至少包括饮食推荐信息(S200)。能够根据检测的生物样本中的标志物的浓度自动、快速地确定健康管理信息，为用户的健康提供合理的建议，增强了用户体验。

Description

健康管理方法、装置及存储介质 技术领域
本公开涉及分析化学领域，尤其涉及一种健康管理方法、装置及存储介质。
背景技术
现在人们对自己的健康问题越来越关注，对服务机构提供健康管理信息的需求也逐渐增多。
而现有技术中，用户对自己健康信息的管理是在从医院获取到各种样本中代谢产物检测结果的基础上人工作出判断，这种判断的结果依赖于用户所掌握的健康知识，例如可以通过医生对检查结果进行分析确定健康状况。或者，医疗服务机构也可以给用户提供健康管理信息，医疗服务器机构可以对用户生物样本中代谢产物等数据进行分析，提供健康管理信息，该方法通常采用人工的方式记录数据并对每种代谢产物进行对比分析，获取健康管理结果，而不能自动化的处理，需要耗费极大的人工成本，且浪费时间。
发明内容
有鉴于此，本公开提出了一种健康管理方法、装置及存储介质，以自动、快速地确定健康管理信息，为用户的健康提供合理的建议，增强用户体验。
根据本公开的一方面，提供了一种健康管理方法，其特征在于，包括：
获取用户的生物样本中至少一个标志物的浓度，所述标志物为所述样本中的组成成分；
根据所述至少一个标志物的浓度确定健康管理信息，所述健康管理信息至少包括饮食推荐信息。
在一种可能的实现方式中，所述根据所述至少一个标志物的浓度确定健康管理信息，包括：
根据各标志物的浓度，确定所述生物样本中的各所述标志物的第一含量状态，所述第一含量状态用于表示所述标志物的缺乏程度；
基于存储的关于食物中针对各所述标志物的第二含量状态，以及各标志物的所述第一含量状态，建立针对所述标志物的食物权重矩阵，其中，所述第二含量状态用于表示所述标志物在所述食物中的含量范围，以及所述食物权重矩阵包括各食物中针对每个标志物的权值；
基于所述食物权重矩阵中各食物中针对每个标志物的权值，确定所述饮食推荐信息。
在一种可能的实现方式中，所述基于存储的关于食物中针对各所述标志物的第二含量状态，以及各标志物的所述第一含量状态，建立针对所述标志物的食物权重矩阵，包括：
基于所述生物样本中各标志物的第一含量状态，以及食物中各所述标志物的第二含量状态，确定食物针对各标志物的权值；
利用每个食物针对各标志物的权值，建立所述食物权重矩阵。
在一种可能的实现方式中，所述基于所述食物权重矩阵中各食物中针对每个标志物的权值，确定所述饮食推荐信息，包括：
将每个食物针对各标志物的权值进行加和，获得每个食物的权重加和值；
将所述权重加和值大于第一预设阈值的食物确定为推荐食物；
基于确定的所述推荐食物生成饮食推荐信息。
在一种可能的实现方式中，所述基于所述食物权重矩阵中各食物中针对每个标志物的权值，确定所述饮食推荐信息，包括：
将所述权重加和值小于第二预设阈值的食物确定为需要控制摄入量的食物；
基于确定的所述推荐食物和需要控制摄入量的食物生成饮食推荐信息；
其中，所述第二预设阈值小于所述第一预设阈值。
在一种可能的实现方式中，所述根据所述至少一个标志物的浓度确定健康管理信息还包括：根据所述至少一个标志物的浓度确定用户的健康评分。
在一种可能的实现方式中，所述根据所述至少一个标志物的浓度确定用 户的健康评分包括：
获取存储的健康评分与标志物浓度的对应关系；
基于所述对应关系，确定所述至少一个标志物的浓度对应的健康评分。
在一种可能的实现方式中，所述方法还包括：
接收用户的标识信息；
获取预设时间内生成的与所述标识信息对应的健康管理信息。
在一种可能的实现方式中，所述方法还包括：
接收用户的标识信息和时间信息；
获取所述时间信息对应的时间范围内，与所述标识信息对应的健康管理信息。
根据本公开的第二方面，提供了一种健康管理装置，包括：
获取模块，其配置为获取用户的生物样本中至少一个标志物的浓度，所述标志物为所述样本中的组成成分；
确定模块，其配置为根据所述至少一个标志物的浓度确定健康管理信息，所述健康管理信息至少包括饮食推荐信息。
在一种可能的实现方式中，所述确定模块还配置为根据各标志物的浓度，确定所述生物样本中的各所述标志物的第一含量状态，并且
基于存储的关于食物中针对各所述标志物的第二含量状态，以及各标志物的所述第一含量状态，建立针对所述标志物的食物权重矩阵，以及
基于所述食物权重矩阵中各食物中针对每个标志物的权值，确定所述饮食推荐信息；
其中，所述第一含量状态用于表示所述标志物的缺乏程度，所述第二含量状态用于表示所述标志物在所述食物中的含量范围，以及所述食物权重矩阵包括各食物中针对每个标志物的权值。
在一种可能的实现方式中，所述确定模块还配置为基于所述生物样本中各标志物的第一含量状态，以及食物中各所述标志物的第二含量状态，确定 食物针对各标志物的权值，并利用每个食物针对各标志物的权值，建立所述食物权重矩阵。
在一种可能的实现方式中，所述确定模块还配置为将每个食物针对各标志物的权值进行加和，获得每个食物的权重加和值，并将所述权重加和值大于第一预设阈值的食物确定为推荐食物，以基于确定的所述推荐食物生成饮食推荐信息。
在一种可能的实现方式中，所述确定模块还配置为将所述权重加和值小于第二预设阈值的食物确定为需要控制摄入量的食物，基于确定的所述推荐食物和需要控制摄入量的食物生成饮食推荐信息；
其中，所述第二预设阈值小于所述第一预设阈值。
在一种可能的实现方式中，所述确定模块还配置为根据所述至少一个标志物的浓度确定用户的健康评分。
在一种可能的实现方式中，所述获取模块还配置为获取存储的健康评分与标志物浓度的对应关系；
所述确定模块还配置为基于所述对应关系，确定所述至少一个标志物的浓度对应的健康评分。
在一种可能的实现方式中，所述装置还包括：
接收模块，接收用户的标识信息；
所述获取模块还配置为获取预设时间内生成的与所述标识信息对应的健康管理信息。
在一种可能的实现方式中，所述接收模块还配置为接收用户的标识信息和时间信息；
所述获取模块还配置为获取所述时间信息对应的时间范围内，与所述标识信息对应的健康管理信息。
根据本公开实施例的第三方面，提供了一种健康管理装置，包括：处理器；用于存储处理器可执行指令的存储器；其中，所述处理器被配置为执行 上述第一方面的方法。
根据本公开实施例的第四方面，提供了一种非易失性计算机可读存储介质，其上存储有计算机程序指令，其中，所述计算机程序指令被处理器执行时实现上述第一方面的方法。
本公开实施例能够获取用户的生物样本中至少一个组成成分对应的标志物的浓度，根据该至少一个标志物的浓度确定健康管理信息，所述健康信息至少包括饮食推荐信息或健康评分。基于上述配置，本公开实施例具有操作方便且高度自动化的特点，能够自动、快速地确定健康管理信息，根据提供的健康管理信息能够给用户的健康管理提供直观可参考的依据，增强了用户体验。
根据下面参考附图对示例性实施例的详细说明，本公开的其它特征及方面将变得清楚。
附图说明
包含在说明书中并且构成说明书的一部分的附图与说明书一起示出了本公开的示例性实施例、特征和方面，并且用于解释本公开的原理。
图1示出根据本公开一实施例的健康管理方法的流程图。
图2示出根据本公开一实施例的获取用户的生物样本中至少一个标志物的浓度的流程图。
图3示出根据本公开一实施例的峰面积的示意性波形图。
图4示出根据本公开一实施例的根据所述至少一个标志物的浓度确定健康管理信息的流程图。
图5示出根据本公开一实施例的标志物浓度范围与不同健康类别人群分布图。
图6示出根据本公开一实施例的基于存储的关于食物中针对各所述标志物的第二含量状态，以及各标志物的所述第一含量状态，建立针对所述标志物的食物权重矩阵的流程图。
图7示出根据本公开一实施例的基于所述食物权重矩阵中各食物中针对每个标志物的权值，确定所述饮食推荐信息的流程图。
图8示出根据本公开一实施例的健康管理的装置的结构图。
图9示出根据本公开一实施例的健康管理的装置的结构图。
图10示出根据本公开一实施例的健康管理的装置的结构图。
图11示出根据本公开一实施例的健康管理的装置的结构图。
具体实施方式
以下将参考附图详细说明本公开的各种示例性实施例、特征和方面。附图中相同的附图标记表示功能相同或相似的元件。尽管在附图中示出了实施例的各种方面，但是除非特别指出，不必按比例绘制附图。
在这里专用的词“示例性”意为“用作例子、实施例或说明性”。这里作为“示例性”所说明的任何实施例不必解释为优于或好于其它实施例。
另外，为了更好的说明本公开，在下文的具体实施方式中给出了众多的具体细节。本领域技术人员应当理解，没有某些具体细节，本公开同样可以实施。在一些实例中，对于本领域技术人员熟知的方法、手段、元件和电路未作详细描述，以便于凸显本公开的主旨。
本公开实施例的方法可以应用在终端或者服务器中，其中终端可以为任意的手持终端或者便携式终端，例如，计算机、手机或平板电脑等，服务器可以包括本地服务器或者云端服务器，本公开对此不进行限制，只要能够执行本公开实施例方法的设备都可以作为上述终端或者服务器。
图1是根据本公开一实施例的健康管理方法的流程图，如图1所示，本公开实施例的健康管理方法可以包括以下步骤。
步骤S100：获取用户的生物样本中至少一个标志物的浓度，所述标志物为所述样本中的组成成分；
步骤S200：根据所述至少一个标志物的浓度确定健康管理信息，所述健康管理信息至少包括饮食推荐信息。
下面分别对本公开实施例的各步骤过程进行详细说明。
步骤S100：获取用户的生物样本中至少一个标志物的浓度，所述标志物为所述样本中的组成成分。
其中，用户的生物样本可以是面向用户采集的样本，例如血液、尿液、汗液等。该样本可以包括获取的用户的各种代谢产物，即标志物。标志物可以为样本中的任意组成成分物质。标志物的浓度可以是生物样本中的标志物的含量占生物样本总量的比值，例如可以是标志物的质量与生物样本所有成分总质量的比值，或者，可以是标志物的质量与生物样本总体积的比值。
步骤S100中，在执行健康管理方法时，本公开实施例可以直接从执行本方法的终端或服务器存储的数据库中获取用户的生物样本中至少一个标志物的浓度数据。该数据库中可以存储有用户标识以及与该用户标识对应的样本数据，样本数据可以包括采集样本的时间、生物样本的编号，以及生物样本内各标志物的浓度等，只要是和用户相关的生物样本信息都可以包括在该数据库内，并与用户标识对应存储。本公开实施例可以基于接收的选择信息选择对应的生物样本中至少一个标志物的浓度数据，该选择信息可以包括用户标识、样本编号或标志物的标识等信息，以便于唯一的对应到生物样本中的浓度。另外，也可以通过与其他设备或者服务器通信连接，接收传输的生物样本中至少一个标志物的浓度数据，其中也可以根据包括用户标识或者样本编号或标志物标识的信息来获取对应的生物样本中至少一个标志物的浓度数据。
或者，本公开实施例还可以通过对各类样本内的标志物进行分析对比，获取用户的生物样本中的至少一个标志物的浓度。例如，可以通过对各标志物的含量、峰面积值等信息确定各标志物的浓度。
本公开实施例对各类样本内的标志物进行分析可以采用人工或自动化的方式对各类样本内的标志物进行分析。其中，采用人工的对各类样本内的标志物进行分析可以采用现有技术中的分析方法，本公开对此不进行限制。
其中，采用自动化的方式对各类样本中的标志物进行分析可以方便的根据样本中的各标志物的相关数据确定标志物的浓度，图2示出根据本公开一实施例的获取用户的生物样本中至少一个标志物的浓度的流程图。如图2所示，步骤S100包括：
步骤S110：获取至少一个待测样本的样本数据，所述样本数据包括待测样本所对应的用户标识、待测标志物标识和第一信息，所述第一信息用于确定所述待测标志物的峰面积值；
步骤S120：获取所述待测样本中的待测标志物对应的标准曲线，所述标准曲线包括对应待测样本中的标志物浓度和标志物峰面积值的对应关系；
步骤S130：基于所述标准曲线和第一信息，确定各所述待测样本中待测标志物的浓度。
其中，待测样本可以是面向用户采集的生物样本，例如血液、尿液、汗液等，样本数据可以是关于待测样本的数据信息，其中可以包括待测样本所对应的用户信息、待测样本内的成分信息、待测样本中所要检测的标志物的信息等，通过上述样本数据可以方便的识别待测样本的来源以及所要分析的标志物，以及样本各成分的相关信息。例如，本公开实施例中的样本数据可以包括待测样本对应的用户标识、待测标志物的标识和第一信息，其中第一信息可以用于确定待测标志物的峰面积值。其中，用户标识可以用于唯一的确定待测样本所对应的用户，如该用户标识可以为用户姓名、或者用户编号等信息。待测标志物可以是待测样本中所要检测分析的物质或者元素，其中待测标志物的标识可以用于唯一确定该物质或元素，如待测标志物可以为标志物的名称、化学结构式。
本公开实施例中，在执行定量分析之前，需要获取需要进行分析的待测样本的样本数据。其中，本公开实施例可以实现多用户的样本数据的分析，因此可以同时获取至少一个待测样本的样本数据。该至少一个待测样本可以同时为一个用户的不同样本，也可以是对应于不同用户的样本，即本公开可 以实现相同用户的不同样本的自动分析，也可以实现不同用户的样本的自动分析。
另外，本公开实施例中获取待测样本的样本数据的方式可以包括：从存储的数据中选择待测样本的样本数据，和/或接收传输的待测样本的样本数据。本公开实施例中，各用户的待测样本的样本数据可以存储在存储器中，在执行对应的定量分析时，可以基于选择信息选择对应的样本数据，该选择信息可以包括用户标识、样本编号等信息，以便于唯一的对应到样本数据。另外，也可以通过与其他设备或者服务器连接，获取传输的样本数据，其中也可以根据包括用户标识或者样本编号的信息来获取对应的样本数据。
另外，样本数据中还可以包括第一信息，该第一信息可以用于确定待测样本中的待测标志物的峰面积值。其中，第一信息包括上述待测标志物的峰面积值，也可以包括与峰面积值相关的参数，并利用该参数确定峰面积值，例如，第一信息可以包括待测标志物的色谱值，根据该色谱值可以得到待测标志物的峰面积值。
图3示出样本中不同组分的峰面积的示意性波形图，如图3所示，在一个待测样本中，可以包含多种待测组分，如图3中的组分A和组分B等，其中可以通过对待测样本使用质谱多反应监测(multiple reaction monitoring,MRM)分析方法来进行色谱检测分析。其中待测标志物(如组分A和组分B)的峰面积是在色谱定量分析时使用的色谱图中波峰曲线与X坐标轴相交围起来的闭合图形部分的总面积，该待测标志物的峰面积表示该待测标志物(如组分A和组分B)的含量，其中峰面积越大，表示该待测标志物(如组分A和组分B)的含量越高。
在获取样本数据后则可以获取与样本数据的待测标志物对应的标准曲线，即执行步骤S102。其中，标准曲线可以包括对应待测样本中的标志物浓度和标志物峰面积值的标准对应关系。其中，获取标准曲线的方式可以包括：直接在数据库中根据待测样本的待测标志物标识查询已知的待测标志物对 应的标准曲线，也可以根据待测标志物标识在数据库中查找到待测标志物标准样品的标志物的峰面积值和浓度值，根据标志物的峰面积值和各个浓度值的对应关系进行线性回归运算建立标准曲线。
在获取了标准曲线后，则可以根据该标准曲线获取与第一信息确定的待测标志物的峰面积值对应的待测标志物的浓度。由于本公开实施例可以获取不同样本内的各标志物的标准曲线，因此可以同时执行不同待测样本的定量分析。
基于上述配置，本公开实施例可以实现同时获取多个待测样本的样本数据，并可以利用预先获得的标准曲线自动的对这些获取的样本数据进行定量分析，从而可以得到待测样本中对应标志物的浓度。
以上获取用户的生物样本中至少一个标志物的浓度的具体方式本公开实施例不进行具体限定。
在获取了用户的生物样本中至少一个标志物的浓度数据之后本公开实施例就可以根据获取的至少一个标志物的浓度确定健康管理信息，即执行步骤S200。
步骤S200：根据所述至少一个标志物的浓度确定健康管理信息，所述健康管理信息至少包括饮食推荐信息。
其中，健康管理信息可以是提供给用户供用户了解自身的身体健康指标的信息，其可以包括用户的基本信息，例如姓名、性别、年龄、民族、常住地，以及是否吸烟饮酒等生活习惯信息。本公开实施例的健康管理信息还可以包括所获取的用户的生物样本对应的各个标志物的浓度与该浓度在人体中含量对应的缺乏程度信息，例如A成分浓度在人体中的含量对应的属于缺乏、过量或正常等等级信息。可以使用符号用于表达缺乏程度信息，例如+、-，也可以使用标签表达缺乏程度信息，例如贫血、高脂肪等。该健康管理信息还可以包括建议信息，例如下次检查时间建议等。本公开实施例可以根据所获取的各标志物的浓度信息确定用户当前的健康状况，并给出相应的保 健建议。
在一种可能的实现方式中，健康管理信息还可以包括饮食推荐信息，例如预设时间内的饮食规划。图4示出根据本公开一实施例的根据所述至少一个标志物的浓度确定健康管理信息的流程图。
如图4所示，步骤S200可以包括：
步骤210：根据各标志物的浓度，确定所述生物样本中的各所述标志物的第一含量状态，所述第一含量状态用于表示所述标志物的缺乏程度；
步骤220：基于存储的关于食物中针对各所述标志物的第二含量状态，以及各标志物的所述第一含量状态，建立针对所述标志物的食物权重矩阵，其中，所述第二含量状态用于表示所述标志物在所述食物中的含量范围，以及所述食物权重矩阵包括各食物中针对每个标志物的权值；
步骤230：基于所述食物权重矩阵中各食物中针对每个标志物的权值，确定所述饮食推荐信息。
下面分别对本公开实施例的各步骤过程进行详细说明。
步骤210：根据各标志物的浓度，确定所述生物样本中的各所述标志物的第一含量状态，所述第一含量状态用于表示所述标志物的缺乏程度。
由于人体中各组成成分的含量有各自的标准含量，因此本公开实施例可以为每类标志物设定标准的第一含量状态对应表，其中该第一含量状态对应表中包括标志物的多个范围区间，以及每个范围区域对应的标志物的含量状态，该含量状态表示标志物的缺乏程度。例如，如表1所示，表1记录了不同的标志物的浓度在人体中含量的范围与标志物的缺乏程度以及对应所属的不同健康类别人群三者之间的关系。
表1
Figure PCTCN2019115688-appb-000001
Figure PCTCN2019115688-appb-000002
本公开实施例可以为每类标志物设五个范围区间，该五个范围区间分别对应五个含量状态。该五个范围区间可以包括第一区间(a，b)、第二区间(b，c)、第三区间(c、d)、第四区间(d、e)和第五区间(e，f)，其中，a、b、c、d、e和f分别为表示各区间范围的值，并且a小于b，b小于c，c小于d，d小于e，以及e小于f。并且，第一区间(a，b)表示该标志物的含量状态为严重缺乏，第二区间(b，c)表示该标志物的含量状态为较为缺乏，第三区间(c，d)表示该标志物的含量状态为正常范围，第四区间(d，e)表示该标志物的含量状态为较为超标，第五区间(e，f)表示该标志物的含量状态为严重超标。在此需要说明的是，每个标志物在人体中的含量不同，也即每个标志物的标准的第一含量状态对应表也就不同，因此每个标志物的标准区间范围所对应的五个区间范围可能不同，具体可以根据各标志物的含量分别设定，本公开实施例对此不进行限定。
基于上述配置，则可以在获得了用户的生物样本中的至少一个标志物的浓度时，可以首先获取该标志物的设定标准的第一含量状态对应表，并根据标志物的浓度所在的范围区间，确定标志物的第一含量状态。
另外，本公开实施例还可以根据获取的标志物的浓度所在的区间范围，确定对应用户的健康信息，如在标准的第一含量状态对应表中还可以包括与各区间对应的健康类别，如表1中右侧一列所示，在获取的标志物的浓度在第一区间或者第五区间时，表示该用户的健康类别为高风险，在获取的标志物的浓度在第二区间或者第四区间时，表示该用户的健康类别为亚健康，在获取的标志物的浓度在第三区间时，该用户的健康类别为健康。例如根据表1可以理解出，对于一个用户来说，针对某一个标志物的浓度处于(a，b)、范围，那么这个用户对应的生物样本所含的标志物严重缺乏，那么这个用户 属于高风险人群，即非常不健康的状态。
基于该配置，不仅可以根据获得的标志物浓度确定该标志物的含量状态(缺乏程度)，同时还可以对应的确定基于该标志物用户的健康类别，能够实现用户的更全面的健康分析。
图5示出根据本公开一实施例的标志物浓度范围与不同健康类别人群分布图，如图5所示，根据标志物的浓度范围划分的不同健康类别的人群分布呈标准正太曲线分布，其中a、b、c、d、e、f分别表示标志物的某个浓度值，每个横坐标的范围与曲线围起来的面积表示相应处于相应浓度范围对应的人群数量，这类人群数量属于同一健康类别，例如高风险人群、亚健康人群或正常健康人群等。
本公开实施例可以根据表1中的对应关系，以及获取的标志物的浓度值，可以确定该标志物的浓度值的第一含量状态，即标志物的缺乏程度，以及对应的健康类别。
此外，本公开实施例上述表1和图5中描述的内容都可以存储在设备中，即数据库中可以存储可以存储有每个标志物在人体中的标准的第一含量状态对应表，在执行本公开实施例的健康管理方法时可以直接获取该对应该系表，以确定标志物浓度所对应的第一含量状态以及健康类别。本公开实施例不做具体限制。
在获取了标志物的第一含量状态之后，再基于存储的关于食物中针对各所述标志物的第二含量状态，建立针对标志物的食物权重矩阵，即执行步骤S220。
本公开实施例还可以存储有第二含量状态对应表，该第二含量状态对应表中可以包括食物标识以及与该食物标识对应的食物中含有的各类标志物的第二含量状态，第二含量状态用于表示在某一食物中包括的各标志物的含量范围，例如，大豆中蛋白质的含量、脂肪的含量等等。
其中，本公开实施例的第二含量状态可以包括多个等级，每个等级对应 一个含量范围区间。例如可以包括是三个等级(第一等级、第二等级和第三等级)，其中，第一等级表示该食物中包括的对应的标志物的低含量，例如该第一等级对应的含量范围为65％-80％，如果食物中一标志物的浓度在该第一等级的含量范围内，则对于该标志物来说，该食物属于低含量食物；第二等级表示该食物中包括的对应的标志物的含量为中等含量，例如该第一等级对应的含量范围为65％-80％之间，如果食物中一标志物的浓度在该第二等级的含量范围内，则对于该标志物来说，该食物属于中等含量食物；第三等级表示该食物中包括的对应的标志物的含量为高含量，例如该第三等级对应的含量范围为80％～100％之间，如果食物中一标志物的浓度在该第三等级的含量范围内，则对于该标志物来说，该食物属于高含量食物。根据上述对应关系，可以确定食物中针对各所述标志物的第二含量状态。执行本公开实施例方法的设备可以直接从在设备中存储的上述第二含量状态对应表获取关于食物中针对各所述标志物的第二含量状态，也可以通过与其他设备或者服务器连接，获取关于食物中针对各所述标志物的第二含量状态。
如上所述，本公开实施例可以根据如上所述的基于所述生物样本中各标志物的第一含量状态，以及食物中各所述标志物的第二含量状态，建立针对所述标志物的食物权重矩阵，所述食物权重矩阵包括各食物中针对每个标志物的权值。
图6示出根据本公开一实施例的基于存储的关于食物中针对各所述标志物的第二含量状态，以及各标志物的所述第一含量状态，建立针对所述标志物的食物权重矩阵的流程图。
如图6所示，基于存储的关于食物中针对各所述标志物的第二含量状态，以及各标志物的所述第一含量状态，建立针对所述标志物的食物权重矩阵，可以包括：
步骤S221，基于所述生物样本中各标志物的第一含量状态，以及食物中各所述标志物的第二含量状态，确定食物针对各标志物的权值；
步骤S222，利用每个食物针对各标志物的权值，建立所述食物权重矩阵。
其中，如上述实施例所述，根据获得的标志物的浓度可以确定对于用户该标志物的第一含量状态，同时还可以获取各食物中包括的该标志物的第二含量状态，基于此可以根据第一含量状态以及各第二含量状态确定每个食物针对该标志物的权值。
本公开实施例中，确定食物针对标志物的权值的方式可以包括:根据第一含量状态所对应的区间范围，以及第二含量状态所对应的含量等级，确定该食物对于该标志物的权值。
其中，如果所述标志物的第一含量状态表示标志物的浓度位于第一区间或者第二区间，即严重缺乏的状态或者较为缺乏的状态，并且一食物包括该标志物的第二含量状态为第一等级，则为该食物分配第一权值或者第二权值，其中第一权值小于第二权值，例如如第一权值可以为-3，第二权值可以为1，如果该食物包括该标志物的第二含量状态为第二等级或者第三等级，则为该食物分配第三权值(3)。本公开实施例各权值的的数值可以根据需求进行设定，本公开对此不进行限定，只要第一权值小于第二权值，且第二权值小于第三权值则可以作为本公开实施例。
另外，如果所述标志物的第一含量状态表示标志物的浓度位于第三区间，即未正常状态，则可以为包括该标志物的食物均分配第二权值。
另外，如果所述标志物的第一含量状态表示标志物的浓度位于第四区间或者第五区间，即为超标状态或者严重超标的状态，并且一食物包括该标志物的第二含量状态为第一等级，则为该食物分配第三权值，例如第三权值可以为3，如果该食物包括该标志物的第二含量状态为第二等级或者第三等级，则为该食物分配第一权值或者第二权值，第一权值可以为-3，第二权值可以为1。本公开实施例各权值的的数值可以根据需求进行设定，本公开对此不进行限定，只要第一权值小于第二权值，且第二权值小于第三权值则可以作为本公开实施例。
例如下表2所示，可以获得每个标志物相对各食物的权值。
表2
  食物1 食物2 食物3 食物4 食物5
标志物1 3 3 3 1 3
标志物2 3 1 ‐3 1 3
标志物3 3 ‐3 ‐3 1 1
标志物4 3 1 1 1 3
表2中，标志物1、2、3…分别表示生物样本中包含的标志物，本公开不对标志物数量进行限制。食物1、2、3..分别代表不同的食物，例如玉米、大豆等，本公开实施例同样对食物的种类进行限制。对于每个标志物来说，分别获取该标志物在各个食物中的第二含量状态，确定该标志物对应的某个食物的权值。
在确定了各权值后，根据各权值可以建立权值矩阵，例如表2所对应的权值矩阵可以为
Figure PCTCN2019115688-appb-000003
其中，还可以为每行标记标志物的标识，为每列标记食物的标识，以确定每个权值是对于哪类食物的哪个标志物的权值。
在确定了食物权重矩阵中各食物中针对每个标志物的权值之后，根据该权值可以确定饮食推荐信息，即执行步骤S230。
本公开实施例可以基于特定的规则对食物权重矩阵中各食物中针对每个标志物的权值进行运算确定所述饮食推荐信息，例如可以对每个食物对应于各标志物的权值进行加权求和或者求平均值等，并根据求得的针对各食物的得分确定饮食推荐信息。另外，本公开实施例也可以通过其他方式确定食物的得分，本公开对此不进行限定。
图7示出根据本公开一实施例的基于所述食物权重矩阵中各食物中针对每个标志物的权值，确定所述饮食推荐信息的流程图。
在一种可能的实现方式中，如图7所示，所述基于所述食物权重矩 阵中各食物中针对每个标志物的权值，确定所述饮食推荐信息，可以包括：
步骤S231，将每个食物针对各标志物的权值进行加和，获得每个食物的权重加和值；
步骤S232，将所述权重加和值大于第一预设阈值的食物确定为推荐食物；
步骤S233，基于确定的所述推荐食物生成饮食推荐信息。
其中，第一预设阈值可以是表示对某个食物达到推荐标准的值，例如可以设置为3，或者也可以设置成其他的值，本公开实施例可以根据食物的数量以及需求进行设定。
本公开实施例可以对将每个食物针对各标志物的权值进行加和，获得每个食物的权重加和值，即可以作为该食物的得分，因此，可以将得分较高的食物作为推荐食物。
在一种可能的实现方式中，可以将所述权重加和值小于第二预设阈值的食物确定为需要控制摄入量的食物，其中第二预设阈值可以是表示达到饮食控制标准的值，其可以小于第一预设阈值，例如可以设置为0，需要控制摄入量的食物表示可以不再摄入的食物或者减少摄入的食物种类。
或者在一种可能的实现方式中，如果食物的权重加和值大于第二阈值且小于第一阈值，可以将该食物确定为正常食用用的食物，即可以保持该食物的摄入量不变。
在一种可能的实现方式中，也可以对所有食物的权值进行排序，排名靠前的食物为推荐食物的列表，选取排名在最后几名的食物为需要控制摄入量的食物。对于排名处于中间位置的食物为正常摄入的食物。
举例来说，在表2中，对于每一个食物，分别针对所有的标志物对应的权值进行加和，例如，对于食物1，分别将与食物1相应的标志物1对应的权值3、标志物2对应的权值3、标志物3对应的权值3和标志物4对应的权值3进行加和为12，判断加和值12，即食物1的得分为12，其大于第一预设阈值3，判定该食物为推荐的食物种类。对于表2中的食物2，分别将与食物2相应的 标志物1对应的权值3、标志物2对应的权值1、标志物3对应的权值-3和标志物4对应的权值1进行加和为2，判断加和值2，即食物2的得分为2，其小于第二预设阈值3且大于第二预设阈值0，判定该食物为正常摄入的食物种类。对于表2中的食物3，分别将与食物1相应的标志物1对应的权值3、标志物2对应的权值-3、标志物3对应的权值-3和标志物4对应的权值1进行加和为-2，判断加和值-2，其小于预设的第二阈值0，判定该食物为需要控制摄入量的食物种类，将不推荐该食物或者减少该类食物的摄入。本公开实施例获取可以推荐的食物种类和不推荐食物的食物种类，将其体现在健康管理信息中，
在一种可能的实现方式中，本公开实施例可以根据所述至少一个标志物的浓度确定用户的健康评分。
其中用户的健康评分是用户健康状况的体现，若健康评分较低，说明用户的健康状况存在隐患，需要到医院进行复检。本公开实施例可以预先设置一个健康评分的阈值，当用户的健康评分(例如，65分，满分100分)低于该预设的风险健康阈值时，提示用户需要复检。
在一种可能的实现方式中，所述根据所述至少一个标志物的浓度确定用户的健康评分包括：
获取存储的健康评分与标志物浓度的对应关系；
基于所述对应关系，确定所述至少一个标志物的浓度对应的健康评分。
表1所示，标志物的第一含量状态对应的区间范围都可以对应有相应的健康类别，本公开实施例可以为每个健康类别设定一个健康分数，即本公开实施例可以从数据库中获取获取存储的健康评分与标志物浓度的对应关系。例如高风险类别对应的健康分数可以为0-40分中一个分值，亚健康类别对应的健康分数可以为40-70中的一个分值，健康对应的健康分数可以为70-100中的一个分值。从而在获取标志物的浓度时，可以确定该标志物的浓度所对应的用户健康评分。上述健康评分仅为示例性说明标志物浓度和健康评分的对应关系，不作为本公开实施例的具体限定。
据此，本公开实施例可以预先存储健康评分与每一个标志物浓度的对应关系，对每一个标志物的浓度，可以查找其对应的健康评分，然后可以将所有标志物对应的健康评分基于特定的规则确定用户的健康评分，例如对每个标志物对应的健康评分进行加和或者求平均值等，获得用户的总评分。
在一种可能的实现方式中，本公开实施例的健康管理信息的方法还可以根据接收的用户标识信息或者根据接收的用户标识信息和时间信息，获取对应的健康管理信息。
在一种可能的实现方式中，本公开实施例的健康管理信息的方法还可以包括：
接收用户的标识信息和时间信息；
获取所述时间信息对应的时间范围内，与所述标识信息对应的健康管理信息。
其中，用户的标识可以是唯一标识该用户的标识，例如可以用户的姓名、手机号等，其与用户生物样本中的标志物浓度对应的存储，以标记哪个用户的生物样本对应的标志物，在执行本公开实施例的健康管理方法的过程中，对于确定的饮食推荐信息或健康评分信息，也可以与用户标识对应的存储。根据用户的标识可以从数据库中获取到与该标识信息对应的健康管理信息。
本公开实施例可以设定一个预设时间，该预设时间可以是用户进行健康体检的时间，其可以表示用户想要获取其健康管理信息对应的时间，例如，可以是用户采集生物样本时的时间信息，将该时间信息作为预设时间。基于上述配置，本公开实施例可以根据接收的用户的标识信息，查询采集的生物样本时对应的预设时间信息，获取该预设时间内生成的与标识信息对应的健康管理信息。
在一种可能的实现方式中，本公开实施例的健康管理信息的方法还可以包括：
接收用户的标识信息和时间信息；
获取所述时间信息对应的时间范围内，与所述标识信息对应的健康管理信息。
其中，时间信息可以是一个时间段信息，可以是接收来自用户的客户端发送的时间信息，其表示用户想要查询自己在某个时间段的健康水平状况。
本公开实施例可以根据接收的用户的标识信息和时间信息，根据用户标识信息查询在对应的时间信息内，获取历次检测的生物样本时对应的健康管理信息，生成最终的健康管理信息，该最终的健康管理信息可以包括最近一次的饮食推荐建议和历次的健康评分，根据该历次健康评分生成的以时间为依据的健康评分的变化趋势图，这样就可以给用户提供该用户对应的健康变化情况，增强了用户体验。
基于上述配置，本公开实施例可以根据获取的生物样本中各组分对应的至少一个标志物的浓度，确定包含饮食推荐信或健康评分信息的健康管理信息，本公开实施例可以执行生物样本中多组分的分析，获取至少一个标志物的浓度，以确定健康管理信息，具有更加方便且分析精度高的特点，可以使得用户直观的了解自身的健康情况，增强了用户体验。
可以理解，本公开提及的上述各个方法实施例，在不违背原理逻辑的情况下，均可以彼此相互结合形成结合后的实施例，限于篇幅，本公开不再赘述。
此外，本公开还提供了健康管理装置及计算机可读存储介质、程序，上述均可用来实现本公开提供的任一种健康管理方法，相应技术方案和描述和参见方法部分的相应记载，不再赘述。
图8示出根据本公开一实施例的健康管理装置的框图，该装置可以应用于终端，例如，计算机、手机或平板电脑等。如图8所示，该装置可以包括：
获取模块100，其配置为获取用户的生物样本中至少一个标志物的浓度，所述标志物为所述样本中的组成成分；
确定模块200，其配置为根据所述至少一个标志物的浓度确定健康管理信息，所述健康管理信息至少包括饮食推荐信息。
在一个可能的实现方式中，确定模块200还配置为根据各标志物的浓度，确定所述生物样本中的各所述标志物的第一含量状态，并且
基于存储的关于食物中针对各所述标志物的第二含量状态，以及各标志物的所述第一含量状态，建立针对所述标志物的食物权重矩阵，以及
基于所述食物权重矩阵中各食物中针对每个标志物的权值，确定所述饮食推荐信息；
其中，所述第一含量状态用于表示所述标志物的缺乏程度，所述第二含量状态用于表示所述标志物在所述食物中的含量范围，以及所述食物权重矩阵包括各食物中针对每个标志物的权值。
在一个可能的实现方式中，确定模块200还配置为基于所述生物样本中各标志物的第一含量状态，以及食物中各所述标志物的第二含量状态，确定食物针对各标志物的权值，并利用每个食物针对各标志物的权值，建立所述食物权重矩阵。
在一个可能的实现方式中，确定模块200还配置为将每个食物针对各标志物的权值进行加和，获得每个食物的权重加和值，并将所述权重加和值大于第一预设阈值的食物确定为推荐食物，以基于确定的所述推荐食物生成饮食推荐信息。
在一个可能的实现方式中，确定模块200还配置为将所述权重加和值小于第二预设阈值的食物确定为需要控制控制摄入量的食物，基于确定的所述推荐食物和需要控制摄入量的食物生成饮食推荐信息；
其中，所述第二预设阈值小于所述第一预设阈值。
在一个可能的实现方式中，确定模块200还配置为根据所述至少一个标志物的浓度确定用户的健康评分。
在一个可能的实现方式中，获取模块100还配置为获取存储的健康 评分与标志物浓度的对应关系；
所述确定模块还配置为基于所述对应关系，确定所述至少一个标志物的浓度对应的健康评分。
在一个可能的实现方式中，图9示出根据本公开一实施例的健康管理的装置的结构图。
如图9所示，本公开实施例的健康管理装置还包括：
接收模块300，接收用户的标识信息；
所述获取模块还配置为获取预设时间内生成的与所述标识信息对应的健康管理信息。
在一个可能的实现方式中，接收模块100还配置为接收用户的标识信息和时间信息；
所述获取模块还配置为获取所述时间信息对应的时间范围内，与所述标识信息对应的健康管理信息。
图10示出根据本公开一实施例的健康管理的装置的结构图。例如，装置800可以是移动电话，计算机，数字广播终端，消息收发设备，游戏控制台，平板设备，医疗设备，健身设备，个人数字助理等。
参照图10，装置800可以包括以下一个或多个组件：处理组件802，存储器804，电源组件806，多媒体组件808，音频组件810，输入/输出(I/O)的接口812，传感器组件814，以及通信组件816。
处理组件802通常控制装置800的整体操作，诸如与显示，电话呼叫，数据通信，相机操作和记录操作相关联的操作。处理组件802可以包括一个或多个处理器820来执行指令，以完成上述的方法的全部或部分步骤。此外，处理组件802可以包括一个或多个模块，便于处理组件802和其他组件之间的交互。例如，处理组件802可以包括多媒体模块，以方便多媒体组件808和处理组件802之间的交互。
存储器804被配置为存储各种类型的数据以支持在装置800的操作。这些 数据的示例包括用于在装置800上操作的任何应用程序或方法的指令，联系人数据，电话簿数据，消息，图片，视频等。存储器804可以由任何类型的易失性或非易失性存储设备或者它们的组合实现，如静态随机存取存储器(SRAM)，电可擦除可编程只读存储器(EEPROM)，可擦除可编程只读存储器(EPROM)，可编程只读存储器(PROM)，只读存储器(ROM)，磁存储器，快闪存储器，磁盘或光盘。
电源组件806为装置800的各种组件提供电力。电源组件806可以包括电源管理系统，一个或多个电源，及其他与为装置800生成、管理和分配电力相关联的组件。
多媒体组件808包括在所述装置800和用户之间的提供一个输出接口的屏幕。在一些实施例中，屏幕可以包括液晶显示器(LCD)和触摸面板(TP)。如果屏幕包括触摸面板，屏幕可以被实现为触摸屏，以接收来自用户的输入信号。触摸面板包括一个或多个触摸传感器以感测触摸、滑动和触摸面板上的手势。所述触摸传感器可以不仅感测触摸或滑动动作的边界，而且还检测与所述触摸或滑动操作相关的持续时间和压力。在一些实施例中，多媒体组件808包括一个前置摄像头和/或后置摄像头。当装置800处于操作模式，如拍摄模式或视频模式时，前置摄像头和/或后置摄像头可以接收外部的多媒体数据。每个前置摄像头和后置摄像头可以是一个固定的光学透镜系统或具有焦距和光学变焦能力。
音频组件810被配置为输出和/或输入音频信号。例如，音频组件810包括一个麦克风(MIC)，当装置800处于操作模式，如呼叫模式、记录模式和语音识别模式时，麦克风被配置为接收外部音频信号。所接收的音频信号可以被进一步存储在存储器804或经由通信组件816发送。在一些实施例中，音频组件810还包括一个扬声器，用于输出音频信号。
I/O接口812为处理组件802和外围接口模块之间提供接口，上述外围接口模块可以是键盘，点击轮，按钮等。这些按钮可包括但不限于：主页按钮、 音量按钮、启动按钮和锁定按钮。
传感器组件814包括一个或多个传感器，用于为装置800提供各个方面的状态评估。例如，传感器组件814可以检测到装置800的打开/关闭状态，组件的相对定位，例如所述组件为装置800的显示器和小键盘，传感器组件814还可以检测装置800或装置800一个组件的位置改变，用户与装置800接触的存在或不存在，装置800方位或加速/减速和装置800的温度变化。传感器组件814可以包括接近传感器，被配置用来在没有任何的物理接触时检测附近物体的存在。传感器组件814还可以包括光传感器，如CMOS或CCD图像传感器，用于在成像应用中使用。在一些实施例中，该传感器组件814还可以包括加速度传感器，陀螺仪传感器，磁传感器，压力传感器或温度传感器。
通信组件816被配置为便于装置800和其他设备之间有线或无线方式的通信。装置800可以接入基于通信标准的无线网络，如WiFi，2G或3G，或它们的组合。在一个示例性实施例中，通信组件816经由广播信道接收来自外部广播管理系统的广播信号或广播相关信息。在一个示例性实施例中，所述通信组件816还包括近场通信(NFC)模块，以促进短程通信。例如，在NFC模块可基于射频识别(RFID)技术，红外数据协会(IrDA)技术，超宽带(UWB)技术，蓝牙(BT)技术和其他技术来实现。
在示例性实施例中，装置800可以被一个或多个应用专用集成电路(ASIC)、数字信号处理器(DSP)、数字信号处理设备(DSPD)、可编程逻辑器件(PLD)、现场可编程门阵列(FPGA)、控制器、微控制器、微处理器或其他电子元件实现，用于执行上述方法。
在示例性实施例中，还提供了一种非易失性计算机可读存储介质，例如包括计算机程序指令的存储器804，上述计算机程序指令可由装置800的处理器820执行以完成上述方法。
图11示出根据本公开一实施例的健康管理的装置的结构图。例如，装置1900可以被提供为一服务器。参照图11，装置1900包括处理组件1922，其进 一步包括一个或多个处理器，以及由存储器1932所代表的存储器资源，用于存储可由处理组件1922的执行的指令，例如应用程序。存储器1932中存储的应用程序可以包括一个或一个以上的每一个对应于一组指令的模块。此外，处理组件1922被配置为执行指令，以执行上述方法。
装置1900还可以包括一个电源组件1926被配置为执行装置1900的电源管理，一个有线或无线网络接口1950被配置为将装置1900连接到网络，和一个输入输出(I/O)接口1958。装置1900可以操作基于存储在存储器1932的操作系统，例如Windows ServerTM，Mac OS XTM，UnixTM,LinuxTM，FreeBSDTM或类似。
在示例性实施例中，还提供了一种非易失性计算机可读存储介质，例如包括计算机程序指令的存储器1932，上述计算机程序指令可由装置1900的处理组件1922执行以完成上述方法。
本公开可以是系统、方法和/或计算机程序产品。计算机程序产品可以包括计算机可读存储介质，其上载有用于使处理器实现本公开的各个方面的计算机可读程序指令。
计算机可读存储介质可以是可以保持和存储由指令执行设备使用的指令的有形设备。计算机可读存储介质例如可以是――但不限于――电存储设备、磁存储设备、光存储设备、电磁存储设备、半导体存储设备或者上述的任意合适的组合。计算机可读存储介质的更具体的例子(非穷举的列表)包括：便携式计算机盘、硬盘、随机存取存储器(RAM)、只读存储器(ROM)、可擦式可编程只读存储器(EPROM或闪存)、静态随机存取存储器(SRAM)、便携式压缩盘只读存储器(CD-ROM)、数字多功能盘(DVD)、记忆棒、软盘、机械编码设备、例如其上存储有指令的打孔卡或凹槽内凸起结构、以及上述的任意合适的组合。这里所使用的计算机可读存储介质不被解释为瞬时信号本身，诸如无线电波或者其他自由传播的电磁波、通过波导或其他传输媒介传播的电磁波(例如，通过光纤电缆的光脉冲)、或者通过电线传输的 电信号。
这里所描述的计算机可读程序指令可以从计算机可读存储介质下载到各个计算/处理设备，或者通过网络、例如因特网、局域网、广域网和/或无线网下载到外部计算机或外部存储设备。网络可以包括铜传输电缆、光纤传输、无线传输、路由器、防火墙、交换机、网关计算机和/或边缘服务器。每个计算/处理设备中的网络适配卡或者网络接口从网络接收计算机可读程序指令，并转发该计算机可读程序指令，以供存储在各个计算/处理设备中的计算机可读存储介质中。
用于执行本公开操作的计算机程序指令可以是汇编指令、指令集架构(ISA)指令、机器指令、机器相关指令、微代码、固件指令、状态设置数据、或者以一种或多种编程语言的任意组合编写的源代码或目标代码，所述编程语言包括面向对象的编程语言—诸如Smalltalk、C++等，以及常规的过程式编程语言—诸如“C”语言或类似的编程语言。计算机可读程序指令可以完全地在用户计算机上执行、部分地在用户计算机上执行、作为一个独立的软件包执行、部分在用户计算机上部分在远程计算机上执行、或者完全在远程计算机或服务器上执行。在涉及远程计算机的情形中，远程计算机可以通过任意种类的网络—包括局域网(LAN)或广域网(WAN)—连接到用户计算机，或者，可以连接到外部计算机(例如利用因特网服务提供商来通过因特网连接)。在一些实施例中，通过利用计算机可读程序指令的状态信息来个性化定制电子电路，例如可编程逻辑电路、现场可编程门阵列(FPGA)或可编程逻辑阵列(PLA)，该电子电路可以执行计算机可读程序指令，从而实现本公开的各个方面。
这里参照根据本公开实施例的方法、装置(系统)和计算机程序产品的流程图和/或框图描述了本公开的各个方面。应当理解，流程图和/或框图的每个方框以及流程图和/或框图中各方框的组合，都可以由计算机可读程序指令实现。
这些计算机可读程序指令可以提供给通用计算机、专用计算机或其它可编程数据处理装置的处理器，从而生产出一种机器，使得这些指令在通过计算机或其它可编程数据处理装置的处理器执行时，产生了实现流程图和/或框图中的一个或多个方框中规定的功能/动作的装置。也可以把这些计算机可读程序指令存储在计算机可读存储介质中，这些指令使得计算机、可编程数据处理装置和/或其他设备以特定方式工作，从而，存储有指令的计算机可读介质则包括一个制造品，其包括实现流程图和/或框图中的一个或多个方框中规定的功能/动作的各个方面的指令。
也可以把计算机可读程序指令加载到计算机、其它可编程数据处理装置、或其它设备上，使得在计算机、其它可编程数据处理装置或其它设备上执行一系列操作步骤，以产生计算机实现的过程，从而使得在计算机、其它可编程数据处理装置、或其它设备上执行的指令实现流程图和/或框图中的一个或多个方框中规定的功能/动作。
附图中的流程图和框图显示了根据本公开的多个实施例的系统、方法和计算机程序产品的可能实现的体系架构、功能和操作。在这点上，流程图或框图中的每个方框可以代表一个模块、程序段或指令的一部分，所述模块、程序段或指令的一部分包含一个或多个用于实现规定的逻辑功能的可执行指令。在有些作为替换的实现中，方框中所标注的功能也可以以不同于附图中所标注的顺序发生。例如，两个连续的方框实际上可以基本并行地执行，它们有时也可以按相反的顺序执行，这依所涉及的功能而定。也要注意的是，框图和/或流程图中的每个方框、以及框图和/或流程图中的方框的组合，可以用执行规定的功能或动作的专用的基于硬件的系统来实现，或者可以用专用硬件与计算机指令的组合来实现。
以上已经描述了本公开的各实施例，上述说明是示例性的，并非穷尽性的，并且也不限于所披露的各实施例。在不偏离所说明的各实施例的范围和精神的情况下，对于本技术领域的普通技术人员来说许多修改和变更都是显 而易见的。本文中所用术语的选择，旨在最好地解释各实施例的原理、实际应用或对市场中的技术的技术改进，或者使本技术领域的其它普通技术人员能理解本文披露的各实施例。

Claims (20)

  1. 一种健康管理方法，其特征在于，包括：
    获取用户的生物样本中至少一个标志物的浓度，所述标志物为所述生物样本中的组成成分；
    根据所述至少一个标志物的浓度确定健康管理信息，所述健康管理信息至少包括饮食推荐信息。
  2. 根据权利要求1所述的方法，其特征在于，所述根据所述至少一个标志物的浓度确定健康管理信息，包括：
    根据各标志物的浓度，确定所述生物样本中的各所述标志物的第一含量状态，所述第一含量状态用于表示所述标志物的缺乏程度；
    基于存储的关于食物中针对各所述标志物的第二含量状态，以及各标志物的所述第一含量状态，建立针对所述标志物的食物权重矩阵，其中，所述第二含量状态用于表示所述标志物在所述食物中的含量范围，以及所述食物权重矩阵包括各食物中针对每个标志物的权值；
    基于所述食物权重矩阵中各食物中针对每个标志物的权值，确定所述饮食推荐信息。
  3. 根据权利要求2所述的方法，其特征在于，所述基于存储的关于食物中针对各所述标志物的第二含量状态，以及各标志物的所述第一含量状态，建立针对所述标志物的食物权重矩阵，包括：
    基于所述生物样本中各标志物的第一含量状态，以及食物中各所述标志物的第二含量状态，确定食物针对各标志物的权值；
    利用每个食物针对各标志物的权值，建立所述食物权重矩阵。
  4. 根据权利要求2所述的方法，其特征在于，所述基于所述食物权重矩阵中各食物中针对每个标志物的权值，确定所述饮食推荐信息，包括：
    将每个食物针对各标志物的权值进行加和，获得每个食物的权重加和值；
    将所述权重加和值大于第一预设阈值的食物确定为推荐食物；
    基于确定的所述推荐食物生成饮食推荐信息。
  5. 根据权利要求4所述的方法，其特征在于，所述基于所述食物权重矩阵中各食物中针对每个标志物的权值，确定所述饮食推荐信息，包括：
    将所述权重加和值小于第二预设阈值的食物确定为需要控制摄入量的食物；
    基于确定的所述推荐食物和需要控制摄入量的食物生成饮食推荐信息；
    其中，所述第二预设阈值小于所述第一预设阈值。
  6. 根据权利要求1所述的方法，其特征在于，所述根据所述至少一个标志物的浓度确定健康管理信息还包括：根据所述至少一个标志物的浓度确定用户的健康评分。
  7. 根据权利要求6所述的方法，其特征在于，所述根据所述至少一个标志物的浓度确定用户的健康评分包括：
    获取存储的健康评分与标志物浓度的对应关系；
    基于所述对应关系，确定所述至少一个标志物的浓度对应的健康评分。
  8. 根据权利要求7所述的方法，其特征在于，所述方法还包括：
    接收用户的标识信息；
    获取预设时间内生成的与所述标识信息对应的健康管理信息。
  9. 根据权利要求7所述的方法，其特征在于，所述方法还包括：
    接收用户的标识信息和时间信息；
    获取所述时间信息对应的时间范围内，与所述标识信息对应的健康管理信息。
  10. 一种健康管理装置，其特征在于，包括：
    获取模块，其配置为获取用户的生物样本中至少一个标志物的浓度，所述标志物为所述生物样本中的组成成分；
    确定模块，其配置为根据所述至少一个标志物的浓度确定健康管理信息，所述健康管理信息至少包括饮食推荐信息。
  11. 根据权利要求10所述的装置，其特征在于，所述确定模块还配置为根 据各标志物的浓度，确定所述生物样本中的各所述标志物的第一含量状态，并且
    基于存储的关于食物中针对各所述标志物的第二含量状态，以及各标志物的所述第一含量状态，建立针对所述标志物的食物权重矩阵，以及
    基于所述食物权重矩阵中各食物中针对每个标志物的权值，确定所述饮食推荐信息；
    其中，所述第一含量状态用于表示所述标志物的缺乏程度，所述第二含量状态用于表示所述标志物在所述食物中的含量范围，以及所述食物权重矩阵包括各食物中针对每个标志物的权值。
  12. 根据权利要求11所述的装置，其特征在于，所述确定模块还配置为基于所述生物样本中各标志物的第一含量状态，以及食物中各所述标志物的第二含量状态，确定食物针对各标志物的权值，并利用每个食物针对各标志物的权值，建立所述食物权重矩阵。
  13. 根据权利要求11所述的装置，其特征在于，所述确定模块还配置为将每个食物针对各标志物的权值进行加和，获得每个食物的权重加和值，并将所述权重加和值大于第一预设阈值的食物确定为推荐食物，以基于确定的所述推荐食物生成饮食推荐信息。
  14. 据权利要求13所述的装置，其特征在于，所述确定模块还配置为将所述权重加和值小于第二预设阈值的食物确定为需要控制摄入量的食物，基于确定的所述推荐食物和需要控制摄入量的食物生成饮食推荐信息；
    其中，所述第二预设阈值小于所述第一预设阈值。
  15. 根据权利要求10所述的装置，其特征在于，所述确定模块还配置为根据所述至少一个标志物的浓度确定用户的健康评分。
  16. 根据权利要求15所述的装置，其特征在于，所述获取模块还配置为获取存储的健康评分与标志物浓度的对应关系；
    所述确定模块还配置为基于所述对应关系，确定所述至少一个标志物的 浓度对应的健康评分。
  17. 根据权利要求16所述的装置，其特征在于，所述装置还包括：
    接收模块，接收用户的标识信息；
    所述获取模块还配置为获取预设时间内生成的与所述标识信息对应的健康管理信息。
  18. 根据权利要求17所述的装置，其特征在于，所述接收模块还配置为接收用户的标识信息和时间信息；
    所述获取模块还配置为获取所述时间信息对应的时间范围内，与所述标识信息对应的健康管理信息。
  19. 一种健康管理装置，其特征在于，包括：
    处理器；
    用于存储处理器可执行指令的存储器；
    其中，所述处理器被配置为执行如权利要求1-9中任意一项所述的方法。
  20. 一种非易失性计算机可读存储介质，其上存储有计算机程序指令，其特征在于，所述计算机程序指令被处理器执行时实现权利要求1至9中任意一项所述的方法。
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