CN113096771B - Food intake management system and method for edema patients - Google Patents
Food intake management system and method for edema patients Download PDFInfo
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- CN113096771B CN113096771B CN202110435764.3A CN202110435764A CN113096771B CN 113096771 B CN113096771 B CN 113096771B CN 202110435764 A CN202110435764 A CN 202110435764A CN 113096771 B CN113096771 B CN 113096771B
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Abstract
The invention discloses a food intake management system and a method for edema patients, which are used for obtaining a first edema detection result of a first user; obtaining a first food manifest based on the first edema detection result; judging whether the first user is in a gestation period or not according to the first basic information; obtaining a first test result of the fetal development when in gestation; acquiring first disease condition information of a first user according to the first basic information; obtaining a first intake nutrition list of a first user according to the first detection result and the first illness state information; constructing a first food recommendation database for the first user according to the first incoming nutrition manifest; adjusting recommended food in the first food recommendation database according to the first food list to obtain a second food recommendation database; managing food intake of the first user according to a second food recommendation database. Solves the technical problem that the prior art lacks the real-time diet analysis, control and management for the patients with gestational edema.
Description
Technical Field
The invention relates to the field related to food intake management of edema patients, in particular to a food intake management system and method for edema patients.
Background
Excessive fluid retention in the interstitial space is called edema, and usually refers to fluid retention in the skin and subcutaneous tissues, and fluid accumulation in the body cavity is called fluid accumulation. Depending on the distribution range, edema can be localized or generalized, and in general edema there are serosal cavity dropsy, such as ascites, pleural effusion and pericardial cavity dropsy. The generalized edema includes cardiac edema, renal edema, hepatic edema, malnutritional edema, myxedema, idiopathic edema, drug-induced edema, and senile edema. After edema, the patient must be administered diet control in addition to the treatment regimen.
However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the inventors of the present application find that the above-mentioned technology has at least the following technical problems:
the prior art is lack of a technical problem of real-time diet analysis, control and management for patients with gestational edema.
Disclosure of Invention
The embodiment of the application solves the technical problem that the edema patients in gestational period lack real-time diet analysis, control and management in the prior art by providing the food intake management system and the method for the edema patients, and achieves the technical effects of combining the information of the patients in real time and carrying out more accurate diet management and diet suggestion on the patients.
In view of the above problems, embodiments of the present application provide a food intake management system and method for edema patients.
In a first aspect, the present application provides a food intake management system for an edematous patient, the system being a food intake management assessment system, the system comprising: a first obtaining unit for obtaining a first edema detection result of a first user by the food intake management evaluation system; a second obtaining unit configured to obtain a first food list according to the first edema detection result, wherein the first food list includes a recommended food list and a dietetic food list; a third obtaining unit for obtaining first basis information of the first user by the food intake management evaluation system; a first judgment unit configured to judge whether the first user is in a gestation period according to the first basic information; a fourth obtaining unit, configured to obtain a first detection result of a fetal development condition of the first user when the first user is determined to be in a gestation period; a fifth obtaining unit, configured to obtain first disease information of the first user according to the first basic information; a sixth obtaining unit, configured to obtain a first intake nutrition list of the first user according to the first detection result and the first disease condition information; a first building unit for building a first food recommendation database for the first user from the first list of ingested nutrients; a seventh obtaining unit, configured to adjust the recommended food in the first food recommendation database according to the first food manifest, and obtain a second food recommendation database; a first management unit to manage food intake of the first user according to the second food recommendation database.
In another aspect, the present application further provides a method for food intake management of an edematous patient, the method being applied to a food intake management evaluation system, the method comprising: obtaining, by the food intake management assessment system, a first edema detection result for a first user; obtaining a first food list according to the first edema detection result, wherein the first food list comprises a recommended food list and a dietetic food list; obtaining, by the food intake management evaluation system, first base information for the first user; judging whether the first user is in a gestation period according to the first basic information; when the first user is judged to be in the gestation period, obtaining a first detection result of the fetal development condition of the first user; acquiring first disease condition information of the first user according to the first basic information; obtaining a first intake nutrition list of the first user according to the first detection result and the first disease condition information; building a first food recommendation database for the first user from the first list of ingested nutrients; according to the first food list, recommended food in the first food recommendation database is adjusted to obtain a second food recommendation database; managing food intake of the first user according to the second food recommendation database.
In a third aspect, the present invention provides a food intake management system for an edematous patient, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the steps of the system of the first aspect.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
the edema detection result of the first user is obtained through the food intake management evaluation system, the first food list is obtained based on the detection result, the basic information of the first user is obtained, whether the first user is in the gestation period or not is judged according to the basic information, the detection result of the fetal development condition of the first user is obtained when the first user is in the gestation period, other illness state information of the first user is obtained according to the basic information, the first intake nutrition list is obtained according to the first detection result and the other illness state information, the first food recommendation database of the first user is constructed according to the first intake nutrition list, food in the first food recommendation database is adjusted based on the first food list, the second food recommendation database is obtained, and the first user is guided to eat according to the second food recommendation database, the technical effects of more accurate diet management and diet suggestion on the patient by combining the information of the patient in real time are achieved.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
FIG. 1 is a schematic flow chart illustrating a method for managing food intake of an edematous patient according to an embodiment of the present disclosure;
FIG. 2 is a schematic diagram of a method for managing food intake of an edematous patient according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Description of reference numerals: a first obtaining unit 11, a second obtaining unit 12, a third obtaining unit 13, a first judging unit 14, a fourth obtaining unit 15, a fifth obtaining unit 16, a sixth obtaining unit 17, a first constructing unit 18, a seventh obtaining unit 19, a first managing unit 20, a bus 300, a receiver 301, a processor 302, a transmitter 303, a memory 304, and a bus interface 305.
Detailed Description
The embodiment of the application solves the technical problem that the edema patients in gestational period lack real-time diet analysis, control and management in the prior art by providing the food intake management system and the method for the edema patients, and achieves the technical effects of combining the information of the patients in real time and carrying out more accurate diet management and diet suggestion on the patients. Hereinafter, example embodiments according to the present application will be described in detail with reference to the accompanying drawings. It should be apparent that the described embodiments are merely some embodiments of the present application and not all embodiments of the present application, and it should be understood that the present application is not limited to the example embodiments described herein.
Summary of the application
Excessive fluid retention in the interstitial space is called edema, and usually refers to fluid retention in the skin and subcutaneous tissues, and fluid accumulation in the body cavity is called fluid accumulation. Depending on the distribution range, edema can be localized or generalized, and in general edema there are serosal cavity dropsy, such as ascites, pleural effusion and pericardial cavity dropsy. The generalized edema includes cardiac edema, renal edema, hepatic edema, malnutritional edema, myxedema, idiopathic edema, drug-induced edema, and senile edema. After edema, the patient must be administered diet control in addition to the treatment regimen. The prior art is lack of a technical problem of real-time diet analysis, control and management for patients with gestational edema.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
the embodiment of the application provides a food intake management system for an edema patient, wherein the system is a food intake management evaluation system, and the system comprises: a first obtaining unit for obtaining a first edema detection result of a first user by the food intake management evaluation system; a second obtaining unit configured to obtain a first food list according to the first edema detection result, wherein the first food list includes a recommended food list and a dietetic food list; a third obtaining unit for obtaining first basis information of the first user by the food intake management evaluation system; a first judgment unit configured to judge whether the first user is in a gestation period according to the first basic information; a fourth obtaining unit, configured to obtain a first detection result of a fetal development condition of the first user when the first user is determined to be in a gestation period; a fifth obtaining unit, configured to obtain first disease information of the first user according to the first basic information; a sixth obtaining unit, configured to obtain a first intake nutrition list of the first user according to the first detection result and the first disease condition information; a first building unit for building a first food recommendation database for the first user from the first list of ingested nutrients; a seventh obtaining unit, configured to adjust the recommended food in the first food recommendation database according to the first food manifest, and obtain a second food recommendation database; a first management unit to manage food intake of the first user according to the second food recommendation database.
Having thus described the general principles of the present application, various non-limiting embodiments thereof will now be described in detail with reference to the accompanying drawings.
Example one
As shown in fig. 1, the present application provides a method for managing food intake of an edema patient, wherein the method is applied to a food intake management evaluation system, and the method includes:
step S100: obtaining, by the food intake management assessment system, a first edema detection result for a first user;
specifically, the food intake management evaluation system is a system for managing, supervising and evaluating food intake of a monitoring object, not only can evaluate whether food intake is possible, but also can evaluate the intake amount, the intake type, the mutual influence of different food intakes and the like, is in communication connection with the internet, and obtains edema check information, namely the first edema detection result, about a first user and obtains information about the severity, the cause and the like of edema of the first user under the permission of the first user.
Step S200: obtaining a first food list according to the first edema detection result, wherein the first food list comprises a recommended food list and a dietetic food list;
specifically, based on the obtained first edema detection result, food list information under the first detection result is obtained based on big data with the detection result as basic information, the food list including a recommended food list and a dietetic food list. For example, the foods generally helpful for edema include red beans, mung beans, white gourds and the like, the second dietetic foods generally include cauliflower, lilies and the like, the recommended food list and the dietetic food list are obtained according to the first edema detection result, and the first food list is obtained based on the lists.
Step S300: obtaining, by the food intake management evaluation system, first base information for the first user;
step S400: judging whether the first user is in a gestation period according to the first basic information;
specifically, the first basic information is basic information including physical examination information of the first user, the basic information of the first user is obtained through a physical examination record of the first user on the premise of permission of the first user, and whether the first user is in a gestation period is determined based on the first basic information, the gestation period is a physiological term from a period after conception to a period before delivery, and is also called a gestation period, and whether the first user is a pregnant edema patient is determined.
Step S500: when the first user is judged to be in the gestation period, obtaining a first detection result of the fetal development condition of the first user;
specifically, when the first user is determined to be in the gestation period, obtaining information about the fetus of the first user, wherein the information includes information obtained by comparing the monitoring information of the fetus with a standard fetus development condition and used for determining whether the fetus is normally developed, and information for determining whether the fetus is slightly developed or not, such as slightly small nutrition condition and the like. Obtaining, by the food intake management evaluation system, relevant detection information about the fetus from the examination information of the first user.
Step S600: acquiring first disease condition information of the first user according to the first basic information;
step S700: obtaining a first intake nutrition list of the first user according to the first detection result and the first disease condition information;
specifically, whether the first user has other disease information is determined according to the physical examination information of the first user, for example, the disease may be a disease such as gestational hypertension, gestational diabetes, and the like, whether the first user has other disease information is determined according to the basic information of the first user, when the first user has other disease information, first illness state information is obtained, and a nutrition list, namely the first intake nutrition list, for which the first user needs to supplement nutrition is obtained based on the first illness state information and the first detection result.
Step S800: building a first food recommendation database for the first user from the first list of ingested nutrients;
specifically, the food recommendation database is a food recommendation database constructed based on the obtained nutrient intake lists, a matching food database with the first intake nutrient list is obtained according to nutrient information according to different contents of nutrients of different foods, including content differences of vitamins, proteins and the like, wherein multiple kinds of alternative foods exist in the food database, namely the foods are not unique, the alternative foods exist in all the foods, and a first food recommendation database is constructed based on the first intake nutrient list, wherein the foods in the database are combined with family conditions and season information of the first user to obtain different recommendation indexes of the different foods.
Step S900: according to the first food list, recommended food in the first food recommendation database is adjusted to obtain a second food recommendation database;
step S1000: managing food intake of the first user according to the second food recommendation database.
Specifically, the first food list is a food list obtained according to the edema condition of the first user, food adjustment is performed on the first food recommendation database according to the first food list, namely, intersection is performed between recommended food in the first food list and food in the first food recommendation database, the recommended food is merged into the first food recommendation database, dietetic restraint food in the first food list is removed from the first food recommendation database, and a second food recommendation database is obtained according to the processing procedure. And performing diet control and food intake management on the first user based on the second food recommendation database, so that the technical effects of more accurate diet management and diet suggestion on the patient by combining the information of the patient in real time are achieved.
Further, the embodiment of the present application further includes:
step S1110: obtaining first association degree information of the first disease information and the fetal development condition according to the first disease information;
step S1120: obtaining a first recommended food of the first user according to the first illness state information;
step S1130: obtaining a third food recommendation database according to the first recommended food and the second food recommendation database;
step S1140: obtaining a first gain effect according to the first recommended food and the first correlation degree information, wherein the first gain effect is the gain effect of the first recommended food on the fetal development condition;
step S1150: and adjusting the food for supplementing the fetal nutrition in the third food recommendation database according to the first gain effect to obtain a fourth food recommendation database.
Specifically, the first association degree is information at least including an indirect association degree and a direct association degree, the direct association degree is an evaluation of an association degree of direct blockage and influence on nutrition supplement of a fetus, the indirect association degree is an evaluation of an association degree of a first user on inappetence caused by diseases and further influence on nutrition absorption of the fetus indirectly, the association degree information of the first condition information and the first fetus development is judged according to the condition information of the first user, a recommended food aiming at the first condition information, namely the first recommended food, is obtained according to the first condition information of the first user, whether the first recommended food is in a dietetic list in the first food list is judged, and when the food is not in the dietetic list, a third food recommendation database is obtained according to the first recommended food and the second food recommendation database, and obtaining a pre-estimated gain effect value of the first food on the fetal development of the first user according to the first recommended food and the first relevance information, namely judging whether the nutrition supplement of the first food to the fetus is excessive or not, adjusting a nutrition supplement list of the fetus when the nutrition supplement of the first food to the fetus is excessive, and obtaining a fourth food recommended database according to the adjustment result. Through the analysis and judgment of the food beneficial to the state of an illness of the first user, the nutrition supplement food list of the follow-up fetus is adjusted, so that the food intake management is more scientific and reasonable, and the technical effects of combining the information of the patient in real time and carrying out more accurate diet management and diet suggestion on the patient are achieved.
Further, in the step S1150, the adjusting the food for supplementing fetal nutrition to the third food recommendation database according to the first gain effect to obtain a fourth food recommendation database further includes:
step S1151: obtaining a gain effect effective threshold of the first user according to the first basic information;
step S1152: judging whether the first gain effect meets the effective threshold of the gain effect;
step S1153: when the first gain effect meets the effective gain effect threshold, adjusting the first intake nutrition list according to the effective gain effect threshold to obtain a second intake nutrition list;
step S1154: obtaining the fourth food recommendation database from the second list of ingested nutrients.
Specifically, the effective threshold of the gain effect of the first user refers to the effective threshold of the first user based on the physical examination information of the first user, determining whether the first gain effect satisfies an effective threshold for the gain effect for the first user as assessed for absorptive capacity, nutritional conversion capacity, etc. for the first user, when the first gain effect meets the gain effect effective threshold, which indicates that the nutrition effect of the first recommended food on the fetus of the first user is predicted to be too high, adjusting the first intake nutrition list according to the gain effect effective threshold, adjusting a list of nutrients to be subsequently delivered to the fetus, obtaining a second intake nutrition list, performing food matching based on the second nutrition list, obtaining a fourth food recommendation database, and performing dietary guidance on food intake of the first user based on the fourth food recommendation list.
Further, the system is connected with the first image acquisition device in a communication manner, and the embodiment of the application further includes:
step S11541: obtaining a first list of stimulating foods;
step S11542: obtaining first image information of the first user through the first image acquisition device;
step S11543: performing appetite analysis on the first user according to the first image information to obtain a first analysis result;
step S11544: obtaining a first stimulating food and a second stimulating food according to the first analysis result and the first stimulating food list;
step S11545: selecting an optimal food from the first and second stimulating foods through the fourth food recommendation database, and obtaining a fifth food recommendation database according to a selection result and the fourth food recommendation database.
Specifically, the first stimulating food list is an appetizing food list, for example, the appetizing food list includes a list of appetizing foods such as balsam pear, hawthorn, kojic dish, tomato, preserved plum, and dried orange peel, the first image acquisition device performs image acquisition on the first user to obtain first image information including the first user, wherein the first image information is an image set, the acquisition time of the image set is generally the eating time of the first user, based on the first image information, appetite analysis is performed on the eating process of the first user to obtain an appetite analysis result of the first user, a first stimulating food and a second stimulating food suitable for the pregnant woman identity of the first user are obtained according to the first appetite analysis result, and a preferred selection is performed on the first stimulating food and the second stimulating food according to the fourth food recommendation database, and merging the selected stimulating food with the fourth food recommendation database according to the selection result to obtain a fifth food recommendation database.
Further, the system is also connected with a second image acquisition device in a communication manner, and the embodiment of the application further includes:
step 1210: obtaining second image information through the second image acquisition device, wherein the second image information comprises image information of food raw materials of a first user;
step S1220: estimating the storage time of the food raw material according to the second image information to obtain a first estimation result;
step S1230: constructing a first storage time recommendation degree list according to the first food raw material;
step S1240: inputting the first estimated result into the first storage time recommendation degree list to obtain a first recommendation degree;
step S1250: and guiding the first user according to the first recommendation degree.
Specifically, the second image capturing device is a device capable of capturing images in real time, and the device is in communication connection with the food intake management and evaluation system, and is capable of transmitting image information captured in real time to the food intake management and evaluation system, obtaining second image information about the food raw material by the second image capturing device, estimating the storage time of the food raw material by the food intake management and evaluation system according to the second image information, namely, judging the freshness of the food raw material, further recording information such as the storage mode, the storage environment, the storage time and the like of the food raw material according to the image captured in real time, performing label identification on the food raw material based on the information, and obtaining a storage time recommendation degree list corresponding to the food raw material according to the label identification result and the information of the food raw material, namely the recommendation indexes of the food logs under different storage time and storage environments, and guiding the first user to eat the food logs according to the recommendation indexes. Through the real-time image acquisition of the food, the storage time and the freshness of the raw materials of the food are accurately evaluated, and a foundation is laid for better guiding the food intake management of a user in the follow-up process.
Further, the embodiment of the present application further includes:
step S1251: obtaining third image information of the food raw material through the second image acquisition device, wherein the third image information is image information containing a cooking process of the food raw material;
step S1252: obtaining a first cooking temperature and a first cooking time according to the third image information;
step S1253: evaluating the nutrition loss condition of the food raw materials according to the first cooking temperature and the first cooking time to obtain a second estimation result;
step S1254: evaluating the nutrition loss degree of the food raw material according to the second estimation result and the first estimation result to obtain a nutrition loss degree evaluation result;
step S1255: and adjusting the second food recommendation database according to the nutrition loss degree evaluation result to obtain a sixth food recommendation database.
Specifically, the cooking process of the food raw material is subjected to image acquisition through the second image acquisition device to obtain third image set information, the information such as cooking methods, cooking temperatures, cooking time lengths and the like is supervised according to the real-time supervision of the cooking process through the third image set, the nutrition loss degree of the food is evaluated based on big data according to the supervision result to obtain the evaluation result of the nutrition loss condition, namely the nutrition loss degree evaluation result, the nutrition amount which can be provided by the food raw material to the first user is estimated based on the nutrition loss degree evaluation result, the nutrition supplement result of the first user is estimated according to the food intake of the first user and the nutrition demand of the first user, and the database recommended by subsequent food of the first user is adjusted according to the estimation result, a sixth food recommendation database is obtained.
Further, in the step S700 of the embodiment of the present application, the obtaining a first nutrition intake list of the first user according to the first detection result and the first disease condition information further includes:
step S710: constructing an intake nutrition assessment model, wherein the intake nutrition assessment model is obtained by training of multiple sets of training data, and each set of the multiple sets of training data comprises the first detection result, the first disease condition information and identification information for identifying nutrition supplement information;
step S720: obtaining a first output of the intake nutrition assessment model, wherein the first output comprises the first intake nutrition manifest.
In particular, the nutrition intake assessment model is a neural network model in machine learning, and a neural network is a complex neural network system formed by widely connecting a large number of simple processing units (called neurons), reflects many basic features of human brain functions, and is a highly complex nonlinear dynamical learning system. Neural network models are described based on mathematical models of neurons. An artificial neural network is a description of the first-order characteristics of the human brain system. Briefly, it is a mathematical model. And inputting the first detection result and the first disease condition information into a neural network model through training of a large amount of training data, and outputting a first intake nutrition list.
More specifically, the training process is essentially a supervised learning process, each group of supervised data includes the first detection result, the first disease condition information and identification information for identifying nutrition supplement information, the first detection result and the first disease condition information are input into a neural network model, the model is continuously self-corrected and adjusted according to the identification information for identifying the nutrition supplement information, and the supervised learning is ended and the next group of data is supervised learning is performed until the obtained output result is consistent with the identification information; and when the output information of the neural network model reaches a preset accuracy rate, finishing the supervised learning process. Through the supervision and learning of the model, the model can process the input information more accurately, so that a more accurate and suitable first intake nutrition list is obtained, and a foundation is tamped for the accurate management of the first user's intake food.
In summary, the food intake management system and method for edema patients provided by the embodiments of the present application have the following technical effects:
1. the edema detection result of the first user is obtained through the food intake management evaluation system, the first food list is obtained based on the detection result, the basic information of the first user is obtained, whether the first user is in the gestation period or not is judged according to the basic information, the detection result of the fetal development condition of the first user is obtained when the first user is in the gestation period, other illness state information of the first user is obtained according to the basic information, the first intake nutrition list is obtained according to the first detection result and the other illness state information, the first food recommendation database of the first user is constructed according to the first intake nutrition list, food in the first food recommendation database is adjusted based on the first food list, the second food recommendation database is obtained, and the first user is guided to eat according to the second food recommendation database, the technical effects of more accurate diet management and diet suggestion on the patient by combining the information of the patient in real time are achieved.
2. Due to the adoption of the mode of adjusting the nutrient supplement food list of the follow-up fetus by analyzing and judging the food beneficial to the state of illness of the first user, the food intake management is more scientific and reasonable, and the technical effects of more accurate diet management and diet suggestion on the patient by combining the information of the patient in real time are achieved.
Example two
Based on the same inventive concept as the edema patient food intake management method in the previous embodiment, the present invention also provides a edema patient food intake management system, as shown in fig. 2, the system comprising:
a first obtaining unit 11, the first obtaining unit 11 being configured to obtain a first edema detection result of a first user by the food intake management evaluation system;
a second obtaining unit 12, configured to obtain a first food list according to the first edema detection result, where the first food list includes a recommended food list and a dietetic food list;
a third obtaining unit 13, the third obtaining unit 13 being configured to obtain first basis information of the first user through the food intake management evaluation system;
a first judging unit 14, wherein the first judging unit 14 is used for judging whether the first user is in the gestation period according to the first basic information;
a fourth obtaining unit 15, where the fourth obtaining unit 15 is configured to obtain a first detection result of the fetal development condition of the first user when the first user is determined to be in the gestation period;
a fifth obtaining unit 16, where the fifth obtaining unit 16 is configured to obtain first disease information of the first user according to the first basic information;
a sixth obtaining unit 17, where the sixth obtaining unit 17 is configured to obtain a first nutrition intake list of the first user according to the first detection result and the first disease condition information;
a first building unit 18, said first building unit 18 being adapted to build a first food recommendation database for said first user based on said first list of ingested nutrients;
a seventh obtaining unit 19, where the seventh obtaining unit 19 is configured to adjust the recommended food in the first food recommendation database according to the first food manifest, and obtain a second food recommendation database;
a first managing unit 20, said first managing unit 20 being configured to manage food intake of said first user according to said second food recommendation database.
Further, the system further comprises:
an eighth obtaining unit, configured to obtain first association information between the first disease condition information and the fetal development condition according to the first disease condition information;
a ninth obtaining unit, configured to obtain a first recommended food of the first user according to the first illness state information;
a tenth obtaining unit for obtaining a third food recommendation database from the first recommended food and the second food recommendation database;
an eleventh obtaining unit, configured to obtain a first gain effect according to the first recommended food and the first association degree information, where the first gain effect is a gain effect of the first recommended food on the fetal development condition;
a twelfth obtaining unit, configured to adjust, according to the first gain effect, the food for supplementing fetal nutrition in the third food recommendation database, and obtain a fourth food recommendation database.
Further, the system further comprises:
a thirteenth obtaining unit, configured to obtain a gain effect valid threshold of the first user according to the first basic information;
a second determining unit, configured to determine whether the first gain effect satisfies the gain effect valid threshold;
a fourteenth obtaining unit, configured to, when the first gain effect meets the gain effect effective threshold, adjust the first intake nutrition list according to the gain effect effective threshold, and obtain a second intake nutrition list;
a fifteenth obtaining unit for obtaining the fourth food recommendation database according to the second list of ingested nutrients.
Further, the system further comprises:
a sixteenth obtaining unit for obtaining a first list of stimulatory food;
a seventeenth obtaining unit, configured to obtain first image information of the first user through the first image acquisition device;
an eighteenth obtaining unit, configured to perform appetite analysis on the first user according to the first image information, and obtain a first analysis result;
a nineteenth obtaining unit for obtaining a first stimulating food and a second stimulating food according to the first analysis result and the first stimulating food list;
a twentieth obtaining unit configured to select an optimal food from the first and second stimulating foods by the fourth food recommendation database, and obtain a fifth food recommendation database according to a selection result and the fourth food recommendation database.
Further, the system further comprises:
a twenty-first obtaining unit, configured to obtain second image information through the second image acquisition device, where the second image information is image information including a food log of the first user;
a twenty-second obtaining unit, configured to predict storage time of the food log according to the second image information, and obtain a first prediction result;
a second construction unit for constructing a first storage time recommendation degree list according to the first food log;
a twenty-third obtaining unit, configured to input the first estimation result into the first storage time recommendation degree list, and obtain a first recommendation degree;
a first guidance unit configured to guide the first user according to the first recommendation degree.
Further, the system further comprises:
a twenty-fourth obtaining unit, configured to obtain third image information of the food raw material through the second image acquisition device, where the third image information is image information including a cooking process of the food raw material;
a twenty-fifth obtaining unit, configured to obtain a first cooking temperature and a first cooking time according to the third image information;
a twenty-sixth obtaining unit, configured to evaluate a nutrition loss condition of the food raw material according to the first cooking temperature and the first cooking time to obtain a second pre-estimated result;
a twenty-seventh obtaining unit, configured to evaluate the nutrition loss degree of the food raw material according to the second estimation result and the first estimation result, and obtain a nutrition loss degree evaluation result;
a twenty-eighth obtaining unit, configured to adjust the second food recommendation database according to a nutrition loss assessment result, and obtain a sixth food recommendation database.
Further, the system further comprises:
a third construction unit, configured to construct an intake nutrition assessment model, where the intake nutrition assessment model is obtained through training of multiple sets of training data, and each set of the multiple sets of training data includes the first detection result, the first disease condition information, and identification information that identifies nutrition supplement information;
a twenty-ninth obtaining unit to obtain a first output of the intake nutrition assessment model, wherein the first output comprises the first intake nutrition manifest.
Various modifications and embodiments of a food intake management method for an edema patient in the first embodiment of fig. 1 are also applicable to a food intake management system for an edema patient in the present embodiment, and a detailed description of the food intake management method for an edema patient will be apparent to those skilled in the art, and therefore, for brevity of description, detailed description thereof will not be provided herein.
Exemplary electronic device
The electronic device of the embodiment of the present application is described below with reference to fig. 3.
Fig. 3 illustrates a schematic structural diagram of an electronic device according to an embodiment of the present application.
Based on the inventive concept of a food intake management method for an edematous patient as in the previous embodiments, the present invention further provides an edematous patient food intake management system, on which a computer program is stored, which when executed by a processor implements the steps of any one of the above-described food intake management methods for an edematous patient.
Where in fig. 3 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 305 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other systems over a transmission medium.
The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.
The embodiment of the invention provides a food intake management system for an edema patient, which is a food intake management evaluation system, and the system comprises: a first obtaining unit for obtaining a first edema detection result of a first user by the food intake management evaluation system; a second obtaining unit configured to obtain a first food list according to the first edema detection result, wherein the first food list includes a recommended food list and a dietetic food list; a third obtaining unit for obtaining first basis information of the first user by the food intake management evaluation system; a first judgment unit configured to judge whether the first user is in a gestation period according to the first basic information; a fourth obtaining unit, configured to obtain a first detection result of a fetal development condition of the first user when the first user is determined to be in a gestation period; a fifth obtaining unit, configured to obtain first disease information of the first user according to the first basic information; a sixth obtaining unit, configured to obtain a first intake nutrition list of the first user according to the first detection result and the first disease condition information; a first building unit for building a first food recommendation database for the first user from the first list of ingested nutrients; a seventh obtaining unit, configured to adjust the recommended food in the first food recommendation database according to the first food manifest, and obtain a second food recommendation database; a first management unit to manage food intake of the first user according to the second food recommendation database. The technical problem that the real-time diet analysis, control and management of the patients suffering from gestational edema are lacked in the prior art is solved, and the technical effects of combining the information of the patients in real time and carrying out more accurate diet management and diet suggestion on the patients are achieved.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a system for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction system which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (6)
1. An edema patient food intake management system, wherein the system is a food intake management assessment system, the system comprising:
a first obtaining unit for obtaining a first edema detection result of a first user by the food intake management evaluation system;
a second obtaining unit configured to obtain a first food list according to the first edema detection result, wherein the first food list includes a recommended food list and a dietetic food list;
a third obtaining unit for obtaining first basis information of the first user by the food intake management evaluation system;
a first judgment unit configured to judge whether the first user is in a gestation period according to the first basic information;
a fourth obtaining unit, configured to obtain a first detection result of a fetal development condition of the first user when it is determined that the first user is in a gestation period, where the first detection result is whether a fetus is developing slightly larger or slightly smaller;
a fifth obtaining unit, configured to obtain first disease information of the first user according to the first basic information;
a sixth obtaining unit, configured to obtain a first intake nutrition list of the first user according to the first detection result and the first disease condition information;
a first building unit for building a first food recommendation database for the first user from the first list of ingested nutrients;
a seventh obtaining unit, configured to adjust the recommended food in the first food recommendation database according to the first food manifest, and obtain a second food recommendation database, where the seventh obtaining unit is configured to: intersecting the recommended food list in the first food list with the recommended food in the first food recommendation database, integrating the food in the recommended food list into the first food recommendation database, and removing the dietetic food in the dietetic food list in the first food list from the first food recommendation database to obtain a second food recommendation database;
a first management unit for managing food intake of the first user according to the second food recommendation database;
an eighth obtaining unit, configured to obtain first association information between the first disease condition information and the fetal development condition according to the first disease condition information;
a ninth obtaining unit, configured to obtain a first recommended food of the first user according to the first illness state information;
a tenth obtaining unit for obtaining a third food recommendation database from the first recommended food and the second food recommendation database;
an eleventh obtaining unit, configured to obtain a first gain effect according to the first recommended food and the first association degree information, where the first gain effect is a gain effect of the first recommended food on the fetal development condition;
a twelfth obtaining unit, configured to adjust, according to the first gain effect, the food for supplementing fetal nutrition in the third food recommendation database, and obtain a fourth food recommendation database;
wherein the twelfth obtaining unit further includes:
a thirteenth obtaining unit, configured to obtain, according to the first basic information, a gain effect effective threshold of the first user, where the gain effect effective threshold is an effective threshold of the gain effect of the first user evaluated on the absorption capacity and the nutrition transformation capacity of the first user based on physical examination information of the first user;
a second determining unit, configured to determine whether the first gain effect satisfies the gain effect valid threshold;
a fourteenth obtaining unit, configured to, when the first gain effect meets the gain effect effective threshold, adjust the first intake nutrition list according to the gain effect effective threshold, and obtain a second intake nutrition list;
a fifteenth obtaining unit for obtaining the fourth food recommendation database according to the second list of ingested nutrients;
the sixth obtaining unit further includes:
a third construction unit, configured to construct an intake nutrition assessment model, where the intake nutrition assessment model is obtained by training multiple sets of training data, each set of the multiple sets of training data includes the first detection result, the first disease condition information, and identification information that identifies nutrition supplement information, the first detection result and the first disease condition information are input into a neural network model, and the model performs continuous self-correction and adjustment according to the identification information that identifies nutrition supplement information until an obtained output result is consistent with the identification information;
a twenty-ninth obtaining unit to obtain a first output of the intake nutrition assessment model, wherein the first output comprises the first intake nutrition manifest.
2. The system of claim 1, wherein the system is communicatively coupled to a first image capture device, further comprising:
a sixteenth obtaining unit for obtaining a first list of stimulatory food;
a seventeenth obtaining unit, configured to obtain first image information of the first user through the first image acquisition device;
an eighteenth obtaining unit, configured to perform appetite analysis on the first user according to the first image information, and obtain a first analysis result;
a nineteenth obtaining unit for obtaining a first stimulating food and a second stimulating food according to the first analysis result and the first stimulating food list;
a twentieth obtaining unit configured to select an optimal food from the first and second stimulating foods by the fourth food recommendation database, and obtain a fifth food recommendation database according to a selection result and the fourth food recommendation database.
3. The system of claim 1, wherein the system is further communicatively coupled to a second image capture device, further comprising:
a twenty-first obtaining unit, configured to obtain second image information through the second image acquisition device, where the second image information is image information including a food log of the first user;
a twenty-second obtaining unit, configured to predict storage time of the food log according to the second image information, and obtain a first prediction result;
a second construction unit for constructing a first storage time recommendation degree list according to the first food log;
a twenty-third obtaining unit, configured to input the first estimation result into the first storage time recommendation degree list, and obtain a first recommendation degree;
a first guidance unit configured to guide the first user according to the first recommendation degree.
4. The system of claim 3, wherein the system further comprises:
a twenty-fourth obtaining unit, configured to obtain third image information of the food raw material through the second image acquisition device, where the third image information is image information including a cooking process of the food raw material;
a twenty-fifth obtaining unit, configured to obtain a first cooking temperature and a first cooking time according to the third image information;
a twenty-sixth obtaining unit, configured to evaluate a nutrition loss condition of the food raw material according to the first cooking temperature and the first cooking time to obtain a second pre-estimated result;
a twenty-seventh obtaining unit, configured to evaluate the nutrition loss degree of the food raw material according to the second estimation result and the first estimation result, and obtain a nutrition loss degree evaluation result;
a twenty-eighth obtaining unit, configured to adjust the second food recommendation database according to a nutrition loss assessment result, and obtain a sixth food recommendation database.
5. A method for food intake management in an edematous patient, wherein the method is applied to a food intake management assessment system, the method comprising:
obtaining, by the food intake management assessment system, a first edema detection result for a first user;
obtaining a first food list according to the first edema detection result, wherein the first food list comprises a recommended food list and a dietetic food list;
obtaining, by the food intake management evaluation system, first base information for the first user;
judging whether the first user is in a gestation period according to the first basic information;
when the first user is judged to be in the gestation period, obtaining a first detection result of the fetal development condition of the first user, wherein the first detection result is whether the fetus develops slightly more or slightly less;
acquiring first disease condition information of the first user according to the first basic information;
obtaining a first intake nutrition list of the first user according to the first detection result and the first disease condition information;
building a first food recommendation database for the first user from the first list of ingested nutrients;
according to the first food list, recommended food in the first food recommendation database is adjusted to obtain a second food recommendation database, and the method comprises the following steps: intersecting the recommended food list in the first food list with the recommended food in the first food recommendation database, integrating the food in the recommended food list into the first food recommendation database, and removing the dietetic food in the dietetic food list in the first food list from the first food recommendation database to obtain a second food recommendation database;
managing food intake of the first user according to the second food recommendation database;
obtaining first association degree information of the first disease information and the fetal development condition according to the first disease information;
obtaining a first recommended food of the first user according to the first illness state information;
obtaining a third food recommendation database according to the first recommended food and the second food recommendation database;
obtaining a first gain effect according to the first recommended food and the first correlation degree information, wherein the first gain effect is the gain effect of the first recommended food on the fetal development condition;
adjusting the food for supplementing the fetal nutrition in the third food recommendation database according to the first gain effect to obtain a fourth food recommendation database;
obtaining a gain effect effective threshold of the first user according to the first basic information, wherein the gain effect effective threshold is an effective threshold of the gain effect of the first user evaluated on the absorption capacity and the nutrition transformation capacity of the first user based on the physical examination information of the first user;
judging whether the first gain effect meets the effective threshold of the gain effect;
when the first gain effect meets the effective gain effect threshold, adjusting the first intake nutrition list according to the effective gain effect threshold to obtain a second intake nutrition list;
obtaining the fourth food recommendation database from the second list of ingested nutrients;
constructing an ingested nutrition evaluation model, wherein the ingested nutrition evaluation model is obtained by training of a plurality of groups of training data, each group of the plurality of groups of training data comprises the first detection result, the first disease condition information and identification information for identifying nutrition supplement information, the first detection result and the first disease condition information are input into a neural network model, and the model is continuously corrected and adjusted by self according to the identification information for identifying the nutrition supplement information until the obtained output result is consistent with the identification information;
obtaining a first output of the intake nutrition assessment model, wherein the first output comprises the first intake nutrition manifest.
6. An edema patient food intake management system comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the steps of the system of any one of claims 1-4.
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