CN112401846B - Nursing system and method for mucosa in oral cavity - Google Patents
Nursing system and method for mucosa in oral cavity Download PDFInfo
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- A61B5/7235—Details of waveform analysis
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Abstract
本发明公开了一种口腔内粘膜的护理系统及方法，应用于一患者管理平台，其中，所述系统包括：获得第一用户的饮食信息；根据所述第一用户的饮食信息，获得所述第一用户的饮食类型信息；根据所述第一用户的饮食类型信息；获得预定饮食类型库；判断所述第一用户的饮食类型信息是否在所述预定饮食类型库中，如果在所述预定饮食类型库中，获得所述第一用户口腔内的第一图像信息；将所述第一图像信息输入神经网络模型，获得第一口腔内粘膜状态；根据所述第一口腔内粘膜状态，获得第一护理方案信息；将所述第一护理方案信息发送给所述第一用户。实现了结合用户的饮食习惯准确获得用户的口腔内粘膜状态，从而有效提高了口腔内粘膜健康的技术目的。
The invention discloses a nursing system and method for intraoral mucosa, which is applied to a patient management platform, wherein the system includes: obtaining dietary information of a first user; The diet type information of the first user; according to the diet type information of the first user; obtaining a predetermined diet type database; judging whether the diet type information of the first user is in the predetermined diet type database, if it is in the predetermined diet type database In the diet type database, the first image information in the oral cavity of the first user is obtained; the first image information is input into the neural network model to obtain the first intraoral mucosal state; according to the first oral mucosal state, the obtained first care plan information; sending the first care plan information to the first user. The technical purpose of accurately obtaining the oral mucosa state of the user in combination with the user's eating habits is realized, thereby effectively improving the health of the oral mucosa.
Description
Technical Field
The invention relates to the field of oral care, in particular to a nursing system and a nursing method for oral mucosa.
Background
Oral care is a scientific nursing technology for preventing oral diseases, improving treatment effect, promoting patient recovery, improving life quality and keeping body health. Oral mucosal disease refers to diseases occurring on oral mucosa and oral soft tissue, except tumors. It has various diseases and different clinical manifestations. Many oral diseases are caused by improper diet.
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 oral mucosa state is not judged in combination with the diet of the user, and the oral mucosa state is not accurately acquired.
Disclosure of Invention
The embodiment of the application provides a nursing system and method for oral mucosa, solves the technical problems that the oral mucosa state is not judged in combination with the diet of a user and is not accurately acquired in the prior art, and realizes the technical purpose of accurately acquiring the oral mucosa state of the user in combination with the dietary habit of the user, thereby effectively improving the health of the oral mucosa.
In view of the above problems, embodiments of the present application provide a system and a method for nursing an oral mucosa.
In a first aspect, the present application provides an oral mucosa care system applied to a patient management platform, the system including: a first obtaining unit for obtaining diet information of a first user; a second obtaining unit, configured to obtain diet type information of the first user according to the diet information of the first user; a third obtaining unit, configured to obtain a predetermined diet type library according to the diet type information of the first user; a first judging unit, configured to judge whether the diet type information of the first user is in the predetermined diet type library; a fourth obtaining unit, configured to obtain first image information in the oral cavity of the first user if the diet type information of the first user is in the predetermined diet type library; the first input unit is used for inputting the first image information into a neural network model to obtain a first intra-oral mucosa state; a fifth obtaining unit for obtaining first care plan information based on the first oral intraluminal mucosa state; a first sending unit to send the first care plan information to the first user.
In another aspect, the present application also provides a method of care of an oral mucosa, the method comprising: obtaining diet information of a first user; obtaining diet type information of the first user according to the diet information of the first user; obtaining a preset diet type library according to the diet type information of the first user; determining whether the first user's diet type information is in the predetermined diet type library; if the diet type information of the first user is in the preset diet type library, obtaining first image information in the oral cavity of the first user; inputting the first image information into a neural network model to obtain a first intra-oral mucosa state; obtaining first care plan information based on the status of the first oral cavity mucosa; sending the first care plan information to the first user.
In a third aspect, the present invention provides a care system for oral mucosa, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the system of the first aspect when executing the program.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
the diet information of the first user is obtained by adopting a big data information processing technology, so that the diet type information of the first user is analyzed, whether the diet type of the first user affects the oral health is judged, more accurate oral mucosa state information of the first user is obtained through a neural network model, and a nursing scheme is obtained by combining the diet information of the first user. The oral mucosa state of the user can be accurately obtained by combining the eating habits of the user, so that the technical purpose of effectively improving the oral mucosa health is 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 of a method for caring for oral mucosa according to an embodiment of the present application;
FIG. 2 is a schematic structural diagram of an oral mucosa care system according to an embodiment of the present disclosure;
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 first input unit 16, a fifth obtaining unit 17, a first transmitting unit 18, 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 provides a nursing system and method for oral mucosa, solves the technical problems that the oral mucosa state is not judged in combination with the diet of a user and is not accurately acquired in the prior art, and realizes the technical purpose of accurately acquiring the oral mucosa state of the user in combination with the dietary habit of the user, thereby effectively improving the health of the oral mucosa. 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
Oral mucosal disease refers to diseases occurring on oral mucosa and oral soft tissue, except tumors. It has various diseases and different clinical manifestations. Many oral diseases are caused by improper diet. The prior art also has the technical problem that the oral mucosa state is not accurately obtained because the oral mucosa state is not judged in combination with the diet of a user.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
an embodiment of the present application provides a nursing system for oral mucosa, the system includes: a first obtaining unit for obtaining diet information of a first user; a second obtaining unit, configured to obtain diet type information of the first user according to the diet information of the first user; a third obtaining unit, configured to obtain a predetermined diet type library according to the diet type information of the first user; a first judging unit, configured to judge whether the diet type information of the first user is in the predetermined diet type library; a fourth obtaining unit, configured to obtain first image information in the oral cavity of the first user if the diet type information of the first user is in the predetermined diet type library; the first input unit is used for inputting the first image information into a neural network model to obtain a first intra-oral mucosa state; a fifth obtaining unit for obtaining first care plan information based on the first oral intraluminal mucosa state; a first sending unit to send the first care plan information to the first user.
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 caring oral mucosa, wherein the method includes:
step S100: obtaining diet information of a first user;
particularly, based on big data information processing technology, the patient management platform of the hospital can realize information transmission with a diet recording application program. The first user uploads daily diet to the diet recording application program in modes of photographing, manual input and the like, and then the patient management platform of the hospital acquires diet information of the first user. And a foundation is laid for the follow-up diet analysis of the first user.
Step S200: obtaining diet type information of the first user according to the diet information of the first user;
specifically, after the patient management platform of the first hospital acquires the diet information of the first user, the data processing center of the patient management platform analyzes the diet type of the first user, and the diet type information of the first user is acquired through analysis. And a foundation is laid for subsequently judging the oral mucosa state of the first user by combining the diet information of the first user.
Step S300: obtaining a preset diet type library according to the diet type information of the first user;
specifically, the predetermined diet type library is diet type information having an influence on the health state of the oral mucosa of the user, such as stimulating food, scalding food, drinking, sweet food, etc., which directly stimulate the oral mucosa, thereby inducing ulcer.
Step S400: determining whether the first user's diet type information is in the predetermined diet type library;
step S500: if the diet type information of the first user is in the preset diet type library, obtaining first image information in the oral cavity of the first user;
specifically, if the first user's diet type information is in the predetermined diet type library, indicating that the first user's oral mucosal disorder is related to his diet, it is necessary to further analyze his oral mucosal state to obtain an appropriate treatment regimen. And acquiring first image information in the oral cavity of the first user through an oral cavity image acquisition device, wherein the oral cavity image acquisition device is connected with the hospital patient management platform. And further analyzing the state of the mucosa in the oral cavity of the first user by acquiring the first image information.
Step S600: inputting the first image information into a neural network model to obtain a first intra-oral mucosa state;
specifically, the neural network model is a model capable of performing continuous self-training learning according to training data, and after the obtained first image information is input to the neural network model, the neural network model performs supervised learning and analysis on the data, so as to obtain the first oral cavity mucosa state information, such as defects on the oral cavity mucosa, white membranous objects, shallow cracks on the mucosa surface, abnormal color of the mucosa surface, surface protrusion and the like. And processing the first image information through the neural network model, thereby ensuring the accuracy of obtaining the first intra-oral mucosa state information.
Step S700: obtaining first care plan information based on the status of the first oral cavity mucosa;
step S800: sending the first care plan information to the first user.
In particular, the obtained first oral intraluminal mucosal state is analyzed by a data processing center of the patient management platform to obtain the first regimen information. The patient management platform and the intelligent terminal of the first user can realize data transmission, so that after the first nursing scheme is obtained, the patient management platform sends the first nursing scheme information to the intelligent terminal of the first user.
Further, in step S600 of the embodiment of the present application, inputting the first image information into a neural network model to obtain the first intra-oral mucosal state information, further includes:
step S601: inputting first image information in the oral cavity of the first user into a first training model, wherein the first training model is obtained by training a plurality of groups of training data, and each group of the plurality of groups of training data comprises: first image information and identification information for identifying the state of the mucosa in the oral cavity of the first user;
step S602: obtaining a first output of the first training model, the first output comprising a first oral intraluminal mucosal state of the first user.
Specifically, the first training model is a model capable of performing continuous self-training learning according to training data, and further, the first training model is a neural network model, namely a neural network model in machine learning, which reflects many basic features of human brain functions and is a highly complex nonlinear dynamical learning system. Each group of training data in the training data comprises the first image information and identification information for identifying the state of the mucosa in the oral cavity of the first user; the neural network model is continuously self-corrected, and when the output information of the neural network model reaches a preset accuracy rate/reaches a convergence state, the supervised learning process is ended. Through data training of the neural network model, the neural network model can process the input data more accurately, and the output first oxygen absorption scheme information is more accurate. And inputting the first image information into a first training model based on the characteristic that the data of the training model after training is more accurate, and accurately obtaining the state of the first oral cavity inner mucosa of the first user through the output information of the training model, so that the judgment result is more accurate, and the technical effect of accurately obtaining the state of the first oral cavity inner mucosa is achieved.
Further, step S500 in the embodiment of the present application further includes:
step S501: obtaining first temperature information within the first user's oral cavity;
step S502: obtaining first humidity information within the first user's mouth;
step S503: taking the first temperature information as an abscissa;
step S504: constructing a two-dimensional rectangular coordinate system by taking the first humidity information as a vertical coordinate;
step S505: constructing a logistic regression line in the two-dimensional rectangular coordinate system according to a logistic regression model, wherein one side of the logistic regression line represents a second intraoral mucosa state of the first user, the other side of the logistic regression line represents a third intraoral mucosa state of the first user, and the second intraoral mucosa state and the third intraoral mucosa state respectively represent a normal state and an abnormal state of an intraoral mucosa;
step S506: and obtaining second care plan information according to the second oral mucosa state or the third oral mucosa state.
Specifically, the first temperature information and the first humidity information are obtained by the first patient through measurement by an oral thermometer, and the oral thermometer transmits the measured data information to the hospital patient management platform. And when the logistic regression model is constructed, establishing a coordinate system according to the first temperature information and the first humidity information which are respectively used as horizontal and vertical coordinates. And obtaining a logistic regression line according to a logistic regression algorithm through the coordinate system. One side of the logistic regression line represents the result of the abnormal state of the oral mucosa; the other side of the logistic regression line is the result that the state of the oral mucosa is normal. The supervised learning is essentially a process of adjusting the position of the logistic regression line. And continuously correcting the position of the logistic regression line through supervised learning to obtain a logistic regression model for more accurately judging whether the oral mucosa state is normal or not, so that the oral mucosa state of the first user is accurately evaluated to obtain the second oral mucosa state or the third oral mucosa state, and then the obtained oral mucosa state of the first user is analyzed by the patient management platform to obtain the second nursing scheme information. The technical purpose of obtaining more accurate oral mucosa state is achieved.
Further, step S700 in the embodiment of the present application further includes:
step S701: obtaining oral flora information for the first user;
step S702: obtaining a harmful flora database according to the oral flora information of the first user;
step S703: judging whether the oral flora information of the first user comprises flora information in the harmful flora database;
step S704: obtaining a first care guide if the first user's oral flora information includes flora information in the harmful flora database;
step S705: refining the first care plan according to the first care guideline.
Specifically, the oral flora detection instrument of the hospital detects the oral flora information of the first user, and transmits the detected data information to the patient management platform. Healthy oral flora can prevent people from being infected by opportunistic pathogens, and the balance of oral flora is a prerequisite for oral health. When the bactericide is used, improper diet or bad living habits break the balance, the opportunistic pathogens such as candida and streptococcus mutans occupy the ground and cause oral inflammation. The database information of the harmful flora is flora information which destroys the balance of oral flora, such as candida, streptococcus mutans and the like. The patient management platform obtains the health state of the oral flora of the first user by judging whether the oral flora information of the first user comprises the flora information in the harmful flora database, thereby obtaining a first nursing guide according to the judgment result and being used for nursing and adjusting the oral flora state of the first user. According to the first nursing guide, the first nursing scheme is adjusted, and the technical aims of effectively improving the oral mucosa health and reducing the oral mucosa diseases are further achieved.
Further, step S704 in the embodiment of the present application further includes:
step S7041: if the oral flora information of the first user comprises flora information in the harmful flora database, obtaining first harmful flora information;
step S7042: obtaining information on the number of bacteria in the first harmful flora;
step S7043: obtaining a predetermined number threshold;
step S7044: judging whether the number information of the bacteria in the first harmful flora exceeds the preset number threshold value;
step S7045: obtaining a second care guide if the information on the number of bacteria in the first harmful flora exceeds the predetermined number threshold;
step S7046: refining the first care plan according to the second care guideline.
Specifically, if the patient management platform determines that the oral flora information of the first user includes flora information in the harmful flora database, specific information of the first harmful flora is obtained, and it is determined whether the number information of the harmful flora exceeds the predetermined number threshold, and if so, the second care guide is obtained according to the flora number information in the oral cavity of the first user, so as to further refine the first care plan. Further realizes the technical purposes of effectively improving the oral mucosa health and reducing the oral mucosa diseases.
Further, step S800 in the embodiment of the present application further includes:
step S801 a: obtaining a physiological state period of the first user;
step S802 a: obtaining a first adjusting parameter according to the physiological state period;
step S803 a: adjusting the first care plan according to the first adjustment parameter.
Specifically, the patient management platform determines whether the first user is in a specific physiological state, such as whether the first user is a child, a pregnant woman, an elderly person, or has a certain disease, by acquiring the first user information. And if the first user is in the state after analysis, obtaining the period information of the physiological state, so as to adjust the nursing period of the first nursing scheme through the first adjustment parameter.
Further, step S800 in the embodiment of the present application further includes:
step S801 b: obtaining trace element information of the first user;
step S802 b: obtaining a third care guide according to the trace element information of the first user;
step S803 b: refining the first care plan according to the third care guideline.
Specifically, a hospital performs trace element measurement on the first user, obtains trace element information of the first user, and transmits the measurement data information to the patient management platform. Trace elements in the human body play an extremely important role in the human body, and deficiency and excess thereof are related to human health, the trace elements have special affinity with hair, the trace elements in the body are accumulated in the hair, and the high or low content thereof indicates the risk of certain diseases. Analyzing, by the patient management platform, the trace element information of the first user, determining whether the first user lacks essential trace elements in vivo, thereby obtaining a third care guideline according to the obtained trace element information of the first user, and adjusting the first care plan according to the third care guideline, for simultaneously improving the trace element content information in vivo of the first user. Further improving the treatment effect of the mucosa diseases in the oral cavity of the first user.
In summary, the nursing system and method for the oral mucosa provided by the embodiment of the present application have the following technical effects:
1. the diet information of the first user is obtained by adopting a big data information processing technology, so that the diet type information of the first user is analyzed, whether the diet type of the first user affects the oral health is judged, more accurate oral mucosa state information of the first user is obtained through a neural network model, and a nursing scheme is obtained by combining the diet information of the first user. The oral mucosa state of the user can be accurately obtained by combining the eating habits of the user, so that the technical purpose of effectively improving the oral mucosa health is achieved.
2. Because the mode that the first image information in the oral cavity of the first user is input into the training model and then the mucosal state in the oral cavity of the first user is output by the training model is adopted, the analysis on the mucosal state in the oral cavity of the first user is more accurate based on the characteristic that the training model can continuously optimize learning and obtain 'experience' to process data more accurately, and the technical purpose of accurately obtaining the mucosal state in the oral cavity of the user by combining the eating habits of the user is realized by accurately analyzing the mucosal state in the oral cavity of the first user.
3. Due to the application of the technology based on the internet of things, the measurement data of each instrument in the hospital and the patient management platform are subjected to data transmission, so that the physiological state information, the oral flora information and the in-vivo trace element information of the first user are analyzed, a more appropriate nursing scheme is obtained, and the treatment reasonability and effectiveness are further improved.
Example two
Based on the same inventive concept as the method for caring the oral mucosa in the previous embodiment, the present invention further provides a system for caring the oral mucosa, as shown in fig. 2, the system comprises:
a first obtaining unit 11, wherein the first obtaining unit 11 is used for obtaining diet information of a first user;
a second obtaining unit 12, where the second obtaining unit 12 is configured to obtain diet type information of the first user according to the diet information of the first user;
a third obtaining unit 13, where the third obtaining unit 13 is configured to obtain a predetermined diet type library according to the diet type information of the first user;
a first judging unit 14, wherein the first judging unit 14 is used for judging whether the diet type information of the first user is in the predetermined diet type library;
a fourth obtaining unit 15, where the fourth obtaining unit 15 is configured to obtain first image information in the oral cavity of the first user if the diet type information of the first user is in the predetermined diet type library;
a first input unit 16, wherein the first input unit 16 is used for inputting the first image information into a neural network model to obtain a first intra-oral mucosa state;
a fifth obtaining unit 17, the fifth obtaining unit 17 being configured to obtain first care plan information based on the first oral cavity intra-mucosal state;
a first sending unit 18, the first sending unit 18 being configured to send the first care plan information to the first user.
Further, the system further comprises:
a second input unit, configured to input first image information in the oral cavity of the first user into a first training model, where the first training model is obtained by training multiple sets of training data, and each of the multiple sets of training data includes: first image information and identification information for identifying the state of the mucosa in the oral cavity of the first user;
a sixth obtaining unit for obtaining a first output of the first training model, the first output comprising a first oral intraluminal mucosal state of the first user.
Further, the system further comprises:
a seventh obtaining unit, configured to obtain first temperature information in the first user's oral cavity;
an eighth obtaining unit, configured to obtain first humidity information in the first user's oral cavity;
a ninth obtaining unit configured to take the first temperature information as an abscissa;
a tenth obtaining unit configured to construct a two-dimensional rectangular coordinate system using the first humidity information as a vertical coordinate;
an eleventh obtaining unit configured to construct a logistic regression line in the two-dimensional rectangular coordinate system according to a logistic regression model, wherein one side of the logistic regression line represents a second intraoral mucosa state of the first user, the other side of the logistic regression line represents a third intraoral mucosa state of the first user, and the second intraoral mucosa state and the third intraoral mucosa state represent a normal state and an abnormal state of an intraoral mucosa, respectively;
a twelfth obtaining unit configured to obtain second care plan information from the second or third intra-oral mucosa state.
Further, the system further comprises:
a thirteenth obtaining unit for obtaining oral flora information of the first user;
a fourteenth obtaining unit, configured to obtain a harmful bacteria group database according to oral bacteria group information of the first user;
a second determination unit configured to determine whether or not the oral flora information of the first user includes flora information in the harmful flora database;
a fifteenth obtaining unit for obtaining a first care guide if the oral flora information of the first user includes flora information in the harmful flora database;
a first adjustment unit to refine the first care plan according to the first care guideline.
Further, the system further comprises:
a sixteenth obtaining unit configured to obtain first harmful flora information if the oral flora information of the first user includes flora information in the harmful flora database;
a seventeenth obtaining unit for obtaining information on the number of bacteria in the first harmful bacteria group;
a third judging unit configured to judge whether or not the information on the number of bacteria in the first harmful bacteria population exceeds the predetermined number threshold;
an eighteenth obtaining unit for obtaining a second care guide if the information of the number of bacteria in the first harmful bacteria group exceeds the predetermined number threshold;
a second adjustment unit to refine the first care plan according to the second care guideline.
Further, the system further comprises:
a nineteenth obtaining unit for obtaining a physiological state period of the first user;
a twentieth obtaining unit configured to obtain a first adjustment parameter according to the physiological state period;
a third adjusting unit for adjusting the first care plan according to the first adjusting parameter.
Further, the system further comprises:
a twenty-first obtaining unit, configured to obtain trace element information of the first user;
a twenty-second obtaining unit for obtaining a third care guide based on the microelement information of the first user;
a fourth adjustment unit to refine the first care plan according to the third care guideline.
Various modifications and specific examples of the method for caring for the oral mucosa in the first embodiment of fig. 1 are also applicable to the system for caring for the oral mucosa in this embodiment, and the implementation method of the system for caring for the oral mucosa in this embodiment will be clear to those skilled in the art from the foregoing detailed description of the method for caring for the oral mucosa, and therefore, for the sake of brevity of the description, detailed description is omitted here.
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 the method for caring for the oral mucosa in the foregoing embodiments, the present invention further provides a system for caring for the oral mucosa, on which a computer program is stored, which when executed by a processor implements the steps of any one of the methods for caring for the oral mucosa described above.
Where in fig. 3a 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 present application also provides a method of care of an oral mucosa, the method comprising: obtaining diet information of a first user; obtaining diet type information of the first user according to the diet information of the first user; obtaining a preset diet type library according to the diet type information of the first user; determining whether the first user's diet type information is in the predetermined diet type library; if the diet type information of the first user is in the preset diet type library, obtaining first image information in the oral cavity of the first user; inputting the first image information into a neural network model to obtain a first intra-oral mucosa state; obtaining first care plan information based on the status of the first oral cavity mucosa; sending the first care plan information to the first user.
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 (8)
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| CN120126757B (en) * | 2025-02-17 | 2025-09-23 | 首都医科大学附属北京口腔医院 | Oral health management system and method |
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