Intelligent health management method and system

Abstract

The invention discloses an intelligent health management method and system, belongs to the technical field of health management, and aims to solve the problem that a treatment method based on a single linear model based on pathogens and symptoms cannot effectively repair the global health of a human body. Comprising the following steps: acquiring health data of a first user and pre-stored public health data; according to the health data of the first user and pre-stored public health data, obtaining a body index and a psychological index of the first user; inputting the body indexes into a successfully pre-trained Mandelbrot set, inputting the psychological indexes into a successfully pre-trained Julia set, and analyzing interaction among the indexes to obtain a body health state complex plan and a psychological health state complex plan; inputting the physical health state complex planar graph and the mental health state complex planar graph into a successfully pre-trained scheme parameter model to obtain a plurality of effective operation points; and generating a first intervention scheme according to the plurality of effective operation points and sending the first intervention scheme to terminal equipment of the first user.

Description

Technical Field

[0001] The present invention relates to the technical field of health management, and in particular to an intelligent health management method and system. Background Art

[0002] At present, the diagnosis and treatment methods commonly used by the global medical system mainly rely on physical or chemical therapies such as drugs and surgery. These methods are based on a single linear model based on pathogens and symptoms. The control of the disease is often based on suppressing symptoms, and it is impossible to cure the disease. This method has a certain effect in dealing with emergency diseases such as infectious diseases, but it exposes limitations when dealing with chronic diseases and difficult and complicated diseases.

[0003] Specifically, chronic diseases and difficult and complicated diseases usually have complex multi-causal characteristics and are closely related to the patient's overall physiological and psychological state. Current treatment methods mostly focus on treating local symptoms of the body and ignore the overall recovery of the patient's system (including physiological and psychological systems). Therefore, treatment methods based on a single linear model based on pathogens and symptoms cannot effectively repair the overall health of the human body.

[0004] The disclosure of the above background technology content is only used to assist in understanding the concept and technical solution of the present invention. It does not necessarily belong to the prior art of this patent application. In the absence of clear evidence that the above content has been disclosed on the filing date of this patent application, the above background technology should not be used to evaluate the novelty and creativity of the present application. Summary of the invention

[0005] The present application provides an intelligent health management method and system for solving the problem that a treatment method based on a single linear model based on pathogens and symptoms cannot effectively repair the global health of the human body.

[0006] To achieve the above objectives, the present application discloses the following technical solutions:

[0007] In a first aspect, an embodiment of the present application provides an intelligent health management method, comprising the following steps:

[0008] Obtaining health data of the first user and pre-stored public health data;

[0009] Obtaining physical indicators and psychological indicators of the first user according to the health data of the first user and pre-stored public health data;

[0010] Input the physical indicators into the pre-trained Mandelbrot set, and input the psychological indicators into the pre-trained Julia set, analyze the interaction between the physical indicators and the psychological indicators, and obtain the complex plane graph of physical health status and the complex plane graph of mental health status;

[0011] Input the complex plane diagram of physical health status and the complex plane diagram of mental health status into the successfully pre-trained solution parameter model to obtain multiple effective operation points;

[0012] Generate a first intervention plan suitable for the user's current needs according to multiple effective operation points;

[0013] The first intervention plan is sent to a terminal device of the first user.

[0014] In the embodiments of the present application, the coordination of the Mandelbrot set, the Julia set and the pre-trained successful solution parameter model constitutes a model based on chaotic systems, complexity science and nonlinear dynamics, which can comprehensively and systematically monitor, analyze and intervene in the health status of the human body, fundamentally restore the balance and self-healing ability of the human system, solve chronic diseases and difficult and complicated diseases, and enable users to achieve long-term health improvement and maintenance.

[0015] The specific principle is as follows: By integrating the user's health data with public health data, physical indicators and psychological indicators are obtained, which can make the assessment of the user's health status more comprehensive and diversified. By inputting physical indicators into the pre-trained Mandelbrot set and psychological indicators into the Julia set, a complex plane graph of physical and mental health status is generated. By using mathematical complexity and chaos theory, the complex interaction between the two can be effectively captured, overcoming the limitation of traditional linear models that only focus on a single factor, and realizing dynamic and comprehensive analysis of health status, predicting the future development trend of the user's health status, and identifying potential health risks, so as to take intervention measures in advance.

[0016] By inputting the complex plane graph of physical and mental health status into the pre-trained program parameter model, multiple effective operation points are obtained, and health intervention plans are generated based on multiple effective operation points, which reduces the need for manual work and ensures targeted intervention of the user's health status, rather than simple general treatment measures. In this way, intelligent physical and mental health management is achieved, the effect and efficiency of health management are improved, and the problem that the treatment method based on a single linear model based on pathogens and symptoms cannot effectively repair the global health of the human body is effectively solved.

[0017] In some possible implementations of the first aspect, the intelligent health management method further includes the following steps:

[0018] Monitor the health data of the first user in real time and compare and analyze the historical health data of the first user to obtain feedback information;

[0019] The first intervention plan is fine-tuned according to the feedback information. In this way, the intervention plan can be adjusted in time according to the user's actual health status and changes, thereby improving the accuracy and efficiency of the intervention plan.

[0020] In some possible implementations of the first aspect, the regimen parameter model includes at least a core model for immune system management, a Lorenz model for sleep quality management, a Vanderpo model for basal body temperature management, a disease model for disease management, and a digital human model for simulating intervention regimens;

[0021] The steps of inputting the physical health state complex plane diagram and the mental health state complex plane diagram into the successfully pre-trained solution parameter model to obtain multiple effective operation points include:

[0022] Input the complex plane diagram of physical health status and the complex plane diagram of mental health status into the core model to obtain the effective operation point of immune system management;

[0023] Input the complex plane diagram of physical health status and the complex plane diagram of mental health status into the Lorenz model to obtain the effective operation point of sleep quality management;

[0024] The physical health status complex plane diagram and the mental health status complex plane diagram are input into the Vanderpo model to obtain the effective operation point of basal body temperature management;

[0025] Input the physical health status complex plane diagram and the mental health status complex plane diagram into the disease model to obtain the effective operation point of disease management;

[0026] Generate a plurality of predetermined intervention plans based on at least the effective operating points for immune system management, sleep quality management, basal body temperature management, and symptoms management;

[0027] The digital human model is used to simulate each predetermined intervention plan, and the intervention plan with the best simulation effect is selected as the first intervention plan. In this way, multiple effective operation points in different health dimensions can be generated, further improving the comprehensiveness of overall health management and overcoming the limitation of traditional linear models that only focus on a single factor.

[0028] In some possible implementations of the first aspect, both health data and public health data include at least blood pressure, blood sugar, heart rate, blood oxygen, metabolic rate, body fat percentage, micronutrient levels, stress index, sleep quality, mood swings, exercise habits, dietary structure, and lifestyle.

[0029] In some possible implementations of the first aspect, the intervention program includes a precise nutrition program, a healthy diet program, a healthy lifestyle, and a psychological counseling program. In this way, expensive drugs and surgeries are not required, which can significantly reduce the medical costs of patients and society, avoid the side effects of drugs or surgeries, and ensure safety and reliability.

[0030] In some possible implementations of the first aspect, the intelligent health management method further includes the following steps: training the Mandelbrot set and the Julia set based on the health data of the successful cases to continuously optimize the parameters of the Mandelbrot set and the Julia set. In this way, the accuracy and effectiveness of the model can be continuously improved through the continuous accumulation of health intervention data, and health trends can be predicted more accurately, personalized intervention plans can be generated, and better health improvement effects can be achieved.

[0031] In a second aspect, an embodiment of the present application provides an intelligent health management system, including:

[0032] A first acquisition module, used to acquire health data of a first user and pre-stored public health data;

[0033] a second calculation module, configured to obtain physical indicators and psychological indicators of the first user according to the health data of the first user and pre-stored public health data;

[0034] The first generation module is used to input the physical indicators into the pre-trained Mandelbrot set and the psychological indicators into the pre-trained Julia set, analyze the interaction between the physical indicators and the psychological indicators, and obtain the physical health state complex plane diagram and the mental health state complex plane diagram;

[0035] The second generation module is used to input the physical health state complex plane diagram and the mental health state complex plane diagram into the successfully pre-trained solution parameter model to obtain multiple effective operation points;

[0036] A third generation module generates a first intervention plan suitable for the user's current needs according to multiple effective operation points;

[0037] The fourth generating module sends the first intervention plan to the terminal device of the first user.

[0038] In some possible implementations of the second aspect, the intelligent health management system also includes: a feedback adjustment module, which is used to monitor the health data of the first user in real time and compare and analyze the health data of the first user with the historical health data of the first user to obtain feedback information; and fine-tune the first intervention plan according to the feedback information.

[0039] In some possible implementations of the second aspect, the scheme parameter model includes at least a core model for immune system management, a Lorenz model for sleep quality management, a Vanderpo model for basal body temperature management, a symptom model for symptom management, and a digital human model for simulating intervention schemes; the second generation module is specifically used to: input the physical health state complex plane diagram and the mental health state complex plane diagram into the core model to obtain the effective operation point of immune system management; input the physical health state complex plane diagram and the mental health state complex plane diagram into the Lorenz model to obtain the effective operation point of sleep quality management; input the physical health state complex plane diagram and the mental health state complex plane diagram into the Vanderpo model to obtain the effective operation point of basal body temperature management; input the physical health state complex plane diagram and the mental health state complex plane diagram into the symptom model to obtain the effective operation point of symptom management; generate multiple predetermined intervention schemes based on at least the effective operation point of immune system management, the effective operation point of sleep quality management, the effective operation point of basal body temperature management, and the effective operation point of symptom management; use the digital human model to simulate each predetermined intervention scheme, and select the intervention scheme with the best simulation effect as the first intervention scheme.

[0040] In some possible implementations of the second aspect, both health data and public health data include at least blood pressure, blood sugar, heart rate, blood oxygen, metabolic rate, body fat percentage, micronutrient levels, stress index, sleep quality, mood swings, exercise habits, dietary structure, and lifestyle.

[0041] In some possible implementations of the second aspect, the intervention program includes a precise nutrition program, a healthy diet program, a healthy lifestyle, and a psychological counseling program.

[0042] In some possible implementations of the second aspect, the intelligent health management system further includes a model training module for training the Mandelbrot set and the Julia set based on health data of successful cases to continuously optimize the parameters of the Mandelbrot set and the Julia set.

[0043] In a third aspect, an embodiment of the present application provides an electronic device, comprising one or more processors; a storage device on which one or more programs are stored; when the one or more programs are executed by the one or more processors, the one or more processors implement the method described in any technical solution of the first aspect.

[0044] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the method described in any technical solution of the first aspect is implemented.

[0045] In a fifth aspect, an embodiment of the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the method described in any technical solution of the first aspect.

[0046] Among them, the technical effects brought about by any design method in the second to fifth aspects can refer to the technical effects brought about by different design methods in the first aspect, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the implementation methods of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for the implementation methods or the description of the prior art. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other implementation drawings can be derived from the provided drawings without creative work.

[0048] Figure 1 A process diagram of an intelligent health management method provided in some embodiments of the present application Figure 1 ;

[0049] Figure 2 A process diagram of an intelligent health management method provided in some embodiments of the present application Figure 2 ;

[0050] Figure 3 A schematic diagram of a complex plane diagram of a physical health state provided for some embodiments of the present application;

[0051] Figure 4 A schematic diagram of a complex plane diagram of mental health status provided for some embodiments of the present application;

[0052] Figure 5 A schematic diagram of a complex plane diagram of mental health status provided for other embodiments of the present application;

[0053] Figure 6 A schematic diagram of a complex plane diagram of mental health status provided for some other embodiments of the present application;

[0054] Figure 7 A schematic diagram of the structure of an intelligent health management system provided in some embodiments of the present application;

[0055] Figure 8 It is a schematic diagram of the structure of an electronic device suitable for implementing some embodiments of the present application. DETAILED DESCRIPTION

[0056] Specific embodiments of the present invention will now be mentioned in detail. Although the present invention is described in conjunction with these specific embodiments, it should be appreciated that it is not intended to limit the present invention to these specific embodiments. On the contrary, these embodiments are intended to cover substitutions, changes or equivalent embodiments that may be included in the spirit and scope of the invention defined by the claims. In the following description, a large number of specific details are set forth in order to provide a comprehensive understanding of the present invention. The present invention may be implemented without some or all of these specific details.

[0057] When used in conjunction with "including," "methods comprising," or similar language in this specification and the appended claims, the singular forms "a," "an," and "the" include plural references unless the context clearly dictates otherwise. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0058] At present, the diagnosis and treatment methods commonly used by the global medical system mainly rely on physical or chemical therapies such as drugs and surgery. These methods are based on a single linear model based on pathogens and symptoms. The control of the disease is often based on suppressing symptoms, and it is impossible to cure the disease. This method has a certain effect in dealing with emergency diseases such as infectious diseases, but it exposes limitations when dealing with chronic diseases and difficult and complicated diseases.

[0059] Specifically, chronic diseases and difficult and complicated diseases usually have complex multi-causal characteristics and are closely related to the patient's overall physiological and psychological state. Current treatment methods mostly focus on treating local symptoms of the body and ignore the overall recovery of the patient's system (including physiological and psychological systems). Therefore, the single-target treatment methods of related technologies cannot effectively repair the overall health of the human body.

[0060] In response to the above technical problems, the overall idea of ​​the technical solution provided by this application is as follows: an intelligent health management method is provided, comprising the following steps: obtaining the health data of a first user and pre-stored public health data; obtaining the physical indicators and psychological indicators of the first user based on the health data of the first user and the pre-stored public health data; inputting the physical indicators into a pre-trained Mandelbrot set, and the psychological indicators into a pre-trained Julia set, analyzing the interaction between the physical indicators and the psychological indicators, and obtaining a complex plane diagram of physical health status and a complex plane diagram of mental health status; inputting the complex plane diagram of physical health status and the complex plane diagram of mental health status into a pre-trained solution parameter model to obtain multiple valid operation points; generating a first intervention plan suitable for the current needs of the user based on the multiple valid operation points; and sending the first intervention plan to the terminal device of the first user.

[0061] This solution forms a model based on chaotic systems, complexity science and nonlinear dynamics through the mutual coordination of the Mandelbrot set, the Julia set and the pre-trained successful solution parameter model. It can comprehensively and systematically monitor, analyze and intervene in the health status of the human body, fundamentally restore the balance and self-healing ability of the human system, solve chronic diseases and difficult and complicated diseases, and enable users to achieve long-term health improvement and maintenance.

[0062] The specific principle is as follows: By integrating the user's health data with public health data, physical indicators and psychological indicators are obtained, which can make the assessment of the user's health status more comprehensive and diversified. By inputting physical indicators into the pre-trained Mandelbrot set and psychological indicators into the Julia set, a complex plane graph of physical and mental health status is generated. By using mathematical complexity and chaos theory, the complex interaction between the two can be effectively captured, overcoming the limitation of traditional linear models that only focus on a single factor, and realizing dynamic and comprehensive analysis of health status, predicting the future development trend of the user's health status, and identifying potential health risks, so as to take intervention measures in advance.

[0063] By inputting the complex plane graph of physical and mental health status into the pre-trained program parameter model, multiple effective operation points are obtained, and health intervention plans are generated based on multiple effective operation points, which reduces the need for manual work and ensures targeted intervention of the user's health status, rather than simple general treatment measures. In this way, intelligent physical and mental health management is achieved, the effect and efficiency of health management are improved, and the problem that the treatment method based on a single linear model based on pathogens and symptoms cannot effectively repair the global health of the human body is effectively solved.

[0064] After introducing the basic principles of the present application, various non-limiting implementation methods of the present application will be specifically introduced in conjunction with the accompanying drawings. Figure 1 Combined with Figure 2 The present application embodiment provides an intelligent health management method, comprising the following steps:

[0065] S101: Acquire health data of a first user and pre-stored public health data;

[0066] Exemplarily, both health data and public health data include at least blood pressure, blood sugar, heart rate, blood oxygen, metabolic rate, body fat percentage, micronutrient levels, stress index, sleep quality, mood swings, exercise habits, dietary structure, and lifestyle.

[0067] The executor of the intelligent health management method (for example, a computer device) can be connected to the intelligent hardware and the wearable device through a wired connection or a wireless connection to obtain the health data of the first user.

[0068] S102: Obtaining physical indicators and psychological indicators of the first user according to the health data of the first user and pre-stored public health data;

[0069] S103: inputting the physical indicators into the pre-trained Mandelbrot set, and inputting the psychological indicators into the pre-trained Julia set, analyzing the interaction between the physical indicators and the psychological indicators, and obtaining a complex plane graph of physical health status and a complex plane graph of mental health status;

[0070] Specifically, the mapping rule of the Mandelbrot set to physical indicators is: area 1 represents a healthy state, and other areas represent a sub-healthy state. For details, please refer to Figure 3 .

[0071] The mapping rule of Julia set to psychological indicators is that the mental health status is related to the dispersion of Julia set. The higher the dispersion, the more fragile the psychology. For details, please refer to Figure 4-Figure 6 .

[0072] S104: Inputting the physical health state complex plane diagram and the mental health state complex plane diagram into the successfully pre-trained solution parameter model to obtain multiple effective operation points;

[0073] Specifically, in some embodiments, the program parameter model includes at least a core model for immune system management, a Lorenz model for sleep quality management, a Vanderpo model for basal body temperature management, a disease model for disease management, and a digital human model for simulating intervention programs;

[0074] The above-mentioned execution subject can input the physical health state complex plane diagram and the mental health state complex plane diagram into the pre-trained successful solution parameter model through the following steps to obtain multiple effective operation points:

[0075] The first step is to input the complex plane diagram of physical health status and the complex plane diagram of mental health status into the core model to obtain the effective operation point of immune system management;

[0076] The second step is to input the complex plane diagram of physical health status and the complex plane diagram of mental health status into the Lorenz model to obtain the effective operation point of sleep quality management;

[0077] The third step is to input the complex plane diagram of physical health status and the complex plane diagram of mental health status into the Vanderpo model to obtain the effective operation point of basal body temperature management;

[0078] The fourth step is to input the physical health status complex plane diagram and the mental health status complex plane diagram into the disease model to obtain the effective operation point of disease management;

[0079] Step 5, generating a plurality of predetermined intervention plans based on at least the effective operating points for immune system management, sleep quality management, basal body temperature management and symptoms management;

[0080] The sixth step is to use the digital human model to simulate each predetermined intervention plan, and select the intervention plan with the best simulation effect as the first intervention plan. In this way, multiple effective operation points in different health dimensions can be generated, further improving the comprehensiveness of overall health management and overcoming the limitation of traditional linear models that only focus on a single factor.

[0081] S105: generating a first intervention plan suitable for the user's current needs according to multiple effective operation points;

[0082] Specifically, in some embodiments, the intervention program includes a precise nutrition program, a healthy diet program, a healthy lifestyle, and a psychological counseling program. In this way, expensive drugs and surgeries are not required, which can significantly reduce the medical costs of patients and society, avoid the side effects of drugs or surgeries, and ensure safety and reliability.

[0083] S106: Send the first intervention plan to the terminal device of the first user.

[0084] Preferably, in some embodiments, the intelligent health management method further comprises the following steps:

[0085] The first step is to monitor the health data of the first user in real time and compare and analyze it with the historical health data of the first user to obtain feedback information;

[0086] The second step is to fine-tune the first intervention plan based on the feedback information. In this way, the intervention plan can be adjusted in time according to the user's actual health status and changes, improving the accuracy and efficiency of the intervention plan.

[0087] Based on any of the above embodiments, the intelligent health management method further includes the following steps: training the Mandelbrot set and the Julia set based on the health data of successful cases to continuously optimize the parameters of the Mandelbrot set and the Julia set. In this way, the accuracy and effectiveness of the model can be continuously improved through the continuous accumulation of health intervention data, and health trends can be predicted more accurately, personalized intervention plans can be generated, and better health improvement effects can be achieved.

[0088] See also Figure 7 Based on the same inventive concept as the intelligent health management method in the aforementioned embodiment, the embodiment of the present application provides an intelligent health management system, including:

[0089] A first acquisition module 201 is used to acquire health data of a first user and pre-stored public health data;

[0090] The second calculation module 202 is used to obtain the physical index and psychological index of the first user according to the health data of the first user and the pre-stored public health data;

[0091] The first generation module 203 is used to input the physical indicators into the pre-trained Mandelbrot set and the psychological indicators into the pre-trained Julia set, analyze the interaction between the physical indicators and the psychological indicators, and obtain the physical health state complex plane diagram and the mental health state complex plane diagram;

[0092] The second generation module 204 is used to input the physical health state complex plane diagram and the mental health state complex plane diagram into the successfully pre-trained solution parameter model to obtain multiple effective operation points;

[0093] The third generating module 205 generates a first intervention plan suitable for the current needs of the user according to the multiple effective operation points;

[0094] The fourth generating module 206 sends the first intervention plan to the terminal device of the first user.

[0095] In some embodiments, the smart health management system further includes: a feedback adjustment module 207, which is used to monitor the health data of the first user in real time and compare and analyze the health data of the first user with the historical health data of the first user to obtain feedback information; and fine-tune the first intervention plan according to the feedback information.

[0096] In some embodiments, the scheme parameter model includes at least a core model for immune system management, a Lorenz model for sleep quality management, a Vanderpo model for basal body temperature management, a symptom model for symptom management, and a digital human model for simulating intervention schemes; the second generation module 204 is specifically used to: input the physical health state complex plane diagram and the mental health state complex plane diagram into the core model to obtain the effective operation point of immune system management; input the physical health state complex plane diagram and the mental health state complex plane diagram into the Lorenz model to obtain the effective operation point of sleep quality management; input the physical health state complex plane diagram and the mental health state complex plane diagram into the Vanderpo model to obtain the effective operation point of basal body temperature management; input the physical health state complex plane diagram and the mental health state complex plane diagram into the symptom model to obtain the effective operation point of symptom management; generate multiple predetermined intervention schemes based on at least the effective operation point of immune system management, the effective operation point of sleep quality management, the effective operation point of basal body temperature management, and the effective operation point of symptom management; use the digital human model to simulate each predetermined intervention scheme, and select the intervention scheme with the best simulation effect as the first intervention scheme.

[0097] In some embodiments, both health data and public health data include at least blood pressure, blood sugar, heart rate, blood oxygen, metabolic rate, body fat percentage, micronutrient levels, stress index, sleep quality, mood swings, exercise habits, dietary structure, and lifestyle.

[0098] In some embodiments, the intervention program includes a precise nutrition program, a healthy diet program, a healthy lifestyle, and a psychological counseling program.

[0099] In some embodiments, the intelligent health management system further includes a model training module 208 for training the Mandelbrot set and the Julia set based on health data of successful cases to continuously optimize the parameters of the Mandelbrot set and the Julia set.

[0100] It is understandable that the modules recorded in the intelligent health management system are similar to those in the reference Figure 1 Therefore, the operations, features and beneficial effects described above for the method are also applicable to the intelligent health management system and the modules contained therein, and will not be repeated here.

[0101] See also Figure 8 , based on the inventive concept of an intelligent health management method in the aforementioned embodiment, an embodiment of the present application provides an electronic device. The electronic device may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), etc., and fixed terminals such as digital TVs, desktop computers, etc. The electronic device includes a processing device 301 (e.g., a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in a ROM 302 (read-only memory) or a program loaded from a storage device 308 into a RAM 303 (random access memory). In RAM 303, various programs and data required for the operation of the electronic device are also stored. The processing device 301, ROM 302, and RAM 303 are connected to each other via a bus 304. The input / output interface (i.e., an I / O interface 305) is also connected to the bus 304.

[0102] Typically, the following devices may be connected to the I / O interface 305: an input device 306 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 307 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 308 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 309. The communication device 309 may allow the electronic device to communicate with other devices wirelessly or by wire to exchange data.

[0103] In particular, according to some embodiments of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, some embodiments of the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In some such embodiments, the computer program can be downloaded and installed from the network through the communication device 309, or installed from the storage device 308, or installed from the ROM 302. When the computer program is executed by the processing device 301, the above-mentioned functions defined in the method of some embodiments of the present application are executed.

[0104] It should be noted that the computer-readable medium recorded in some embodiments of the present application may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In some embodiments of the present application, a computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, device or device. In some embodiments of the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, in which a computer-readable program code is carried. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer readable signal medium may also be any computer readable medium other than a computer readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0105] In some embodiments, the client and the server may communicate using any currently known or future developed network protocol such as HTTP (HyperTextTransferProtocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an adhoc peer-to-peer network), as well as any currently known or future developed network.

[0106] The computer-readable medium may be included in the electronic device; or it may exist independently without being installed in the electronic device. The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device: obtains the health data and pre-stored public health data of the first user; obtains the physical indicators and psychological indicators of the first user according to the health data of the first user and the pre-stored public health data; inputs the physical indicators into the pre-trained Mandelbrot set, and the psychological indicators into the pre-trained Julia set, analyzes the interaction between the physical indicators and the psychological indicators, and obtains the physical health state complex plane diagram and the mental health state complex plane diagram; inputs the physical health state complex plane diagram and the mental health state complex plane diagram into the pre-trained program parameter model to obtain multiple valid operation points; generates a first intervention program suitable for the current needs of the user according to the multiple valid operation points; and sends the first intervention program to the terminal device of the first user.

[0107] Computer program code for performing the operations of some embodiments of the present application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as an independent software package, partially on the user's computer, partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (e.g., using an Internet service provider to connect through the Internet).

[0108] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0109] The modules described in some embodiments of the present application may be implemented by software or by hardware. The modules described may also be set in a processor: for example, they may be described as: a first acquisition module, a second calculation module, a first generation module, a second generation module, a third generation module, a fourth generation module, a feedback adjustment module, and a model training module. Among them, the names of these modules do not constitute a limitation on the module itself in some cases. For example, the first acquisition module may also be described as a "health data acquisition module."

[0110] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0111] Some embodiments of the present application also provide a computer program product, including a computer program, which implements any of the above-mentioned intelligent health management methods when executed by a processor.

[0112] Although the present invention has been described in detail above by general description and specific embodiments, it is obvious to those skilled in the art that some modifications or improvements can be made to the present invention. Therefore, these modifications or improvements made without departing from the spirit of the present invention all belong to the scope of protection claimed by the present invention.

Claims

1. An intelligent health management method, characterized in that: The following steps are involved: Obtaining health data of the first user and pre-stored public health data; Obtaining physical indicators and psychological indicators of the first user according to the health data of the first user and the pre-stored public health data; Input the physical index into a pre-trained Mandelbrot set, input the psychological index into a pre-trained Julia set, analyze the interaction between the physical index and the psychological index, and obtain a physical health state complex plane graph and a mental health state complex plane graph; Inputting the physical health state complex plane diagram and the mental health state complex plane diagram into a successfully pre-trained solution parameter model to obtain a plurality of effective operation points; generating a first intervention plan suitable for the current needs of the user according to the plurality of effective operating points; The first intervention plan is sent to a terminal device of the first user.

2. The intelligent health management method according to claim 1, characterized in that: The following steps are also included: Monitor the health data of the first user in real time and compare and analyze the historical health data of the first user to obtain feedback information; The first intervention plan is fine-tuned according to the feedback information.

3. The intelligent health management method according to claim 1, characterized in that: The program parameter model at least includes a core model for immune system management, a Lorenz model for sleep quality management, a Vanderpo model for basal body temperature management, a disease model for disease management, and a digital human model for simulating intervention programs; The steps of inputting the physical health state complex plane diagram and the mental health state complex plane diagram into the successfully pre-trained solution parameter model to obtain multiple effective operation points include: Inputting the physical health state complex plane diagram and the mental health state complex plane diagram into the core model to obtain an effective operation point for immune system management; Inputting the physical health state complex plane diagram and the mental health state complex plane diagram into the Lorenz model to obtain an effective operating point for sleep quality management; Inputting the physical health state complex plane diagram and the mental health state complex plane diagram into the Vanderpo model to obtain an effective operating point for basal body temperature management; Inputting the physical health state complex plane diagram and the mental health state complex plane diagram into the disease model to obtain effective operation points for disease management; Generate a plurality of predetermined intervention plans based on at least the immune system management effective operation point, the sleep quality management effective operation point, the basal body temperature management effective operation point and the disease management effective operation point; The digital human model is used to simulate each of the predetermined intervention plans, and the intervention plan with the best simulation effect is selected as the first intervention plan.

4. The intelligent health management method according to claim 1, characterized in that: The health data and the public health data both include at least blood pressure, blood sugar, heart rate, blood oxygen, metabolic rate, body fat percentage, micronutrient level, stress index, sleep quality, mood swings, exercise habits, dietary structure, and lifestyle.

5. The intelligent health management method according to claim 1, characterized in that: The intervention program includes a precise nutrition program, a healthy diet program, a healthy lifestyle and a psychological counseling program.

6. The intelligent health management method according to any one of claims 1 to 5, characterized in that: The following steps are also included: The Mandelbrot set and the Julia set are trained based on the health data of the successful cases to continuously optimize the parameters of the Mandelbrot set and the Julia set.

7. An intelligent health management system, characterized in that: include: A first acquisition module, used to acquire health data of a first user and pre-stored public health data; A second calculation module, configured to obtain physical indicators and psychological indicators of the first user according to the health data of the first user and the pre-stored public health data; A first generation module is used to input the physical indicators into a pre-trained Mandelbrot set, and the psychological indicators into a pre-trained Julia set, analyze the interaction between the physical indicators and the psychological indicators, and obtain a physical health state complex plane graph and a mental health state complex plane graph; A second generating module is used to input the physical health state complex plane diagram and the mental health state complex plane diagram into a successfully pre-trained solution parameter model to obtain a plurality of effective operation points; A third generating module generates a first intervention plan suitable for the current needs of the user according to the plurality of effective operating points; The fourth generating module sends the first intervention plan to the terminal device of the first user.

8. An electronic device, characterized in that: include: one or more processors; a storage device having one or more programs stored thereon; When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processing device, the method according to any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processing device, the method according to any one of claims 1 to 6 is implemented.

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