Diet structure construction method and system for neurodegenerative diseases

Abstract

The invention provides a dietary structure construction method and system for neurodegenerative diseases, and the method comprises the steps: obtaining the current neuropathology situation of a target object and the current diet situation of the target object, and judging the nutrient intake gap of the target object based on the current neuropathology situation and the current diet situation of the target object; based on the nutrient intake gap of the target object, formulating a short-term target and a long-term target of neuroprotection of the target object; obtaining the personal basic ability of the target object, carrying out the adaptive adjustment of the dietary structure of the target object based on the personal basic ability of the target object, the short-term target and the long-term target, and constructing a dietary structure scheme meeting the personal basic ability of the target object and the current neuropathology situation. According to the application, by multi-dimensionally improving the pathological state and nutritional state of the patient with the neurodegenerative disease, the neuroprotection efficiency is improved, the disease progress is delayed, and the living quality and intervention compliance of the patient are effectively improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of dietary structure construction, in particular to a dietary structure construction method and system for neurodegenerative diseases. BACKGROUND

[0002] In recent years, with the continuous deepening of medical research, the important role of diet in neurodegenerative diseases has gradually been recognized by people. Numerous studies have shown that the balance of diet is closely related to the occurrence and development of neurodegenerative diseases. They may have a profound impact on brain health through various mechanisms such as affecting the immune system, metabolic pathways, and neural signal transduction.

[0003] However, in the actual application of dietary structure design, there is a clear lack of targeted optimization of diet. At present, the dietary plan for patients with neurodegenerative diseases is mostly based on traditional nutrition concepts and does not fully consider the key factor of dietary structure. This leads to the difficulty of dietary structure to play the greatest health benefits, and cannot effectively assist the treatment and prevention of neurodegenerative diseases. Therefore, how to construct a scientific and reasonable dietary structure for neurodegenerative diseases, fully consider the characteristics and needs of diet, and achieve targeted optimization, has become an important problem to be solved at present. SUMMARY

[0004] In order to overcome the above-mentioned problems in the prior art, the present application provides a dietary structure construction method and system for neurodegenerative diseases, which adopts the following technical solutions:

[0005] In a first aspect, the present application provides a dietary structure construction method for neurodegenerative diseases, comprising:

[0006] Obtaining the neuro-pathological status of the target object and the dietary status of the target object, and determining the nutrient intake gap of the target object based on the neuro-pathological status and the dietary status of the target object.

[0007] Based on the nutrient intake gap of the target object, the short-term goal and the long-term goal of neuro-protection of the target object are formulated.

[0008] Obtaining the personal basic ability of the target object, and based on the personal basic ability of the target object and the short-term goal and the long-term goal, the dietary structure of the target object is adaptively adjusted to construct a dietary structure scheme that meets the personal basic ability and the neuro-pathological status of the target object.

[0009] Further, the neuro-pathological status is obtained through inflammatory markers, oxidative stress indicators, neural metabolism markers, and brain function related indicators.

[0010] Further, the neuropathological status of the target object is obtained by the inflammation markers, oxidative stress indicators, neural metabolism markers and brain function related indicators, including: obtaining a first feature vector from the inflammation markers and oxidative stress indicators; obtaining metabolic activity indicators and neural damage degree features based on the neural metabolism markers as a second feature vector; obtaining brain network connection features, brain region activation intensity and brain electrical rhythm features in the brain function related indicators as a third feature vector through spatiotemporal analysis technology; the first feature vector, the second feature vector and the third feature vector are fused by weighting to construct a comprehensive neuropathological feature vector; the neuropathological state score of the comprehensive neuropathological feature vector is obtained based on the preset mathematical statistics, and the result expression of the neuropathological status of the target object is obtained, wherein the result expression reflects the inflammation degree, oxidative damage level and neural function impairment condition.

[0011] Further, based on the neuropathological status and dietary status of the target object, the nutrient intake gap of the target object is determined, including: obtaining the daily average nutrient actual intake of the target object and the recommended amount of neuroprotective related nutrients; the absolute value of the difference between the actual intake and the recommended amount is calculated as the nutrient intake gap value. The correlation between the nutrient intake gap value and the measurement value of the neuropathological indicator is obtained by Pearson correlation analysis, and the core nutrient gap that meets the preset threshold is screened.

[0012] Further, based on the nutrient intake gap of the target object, the short-term and long-term goals of the target object are formulated, including: setting an initial preset threshold based on the core nutrient gap as a filling target of the short-term goal; on the basis of the short-term goal, combined with the improvement demand of the health indicators, setting the final target value, associating the nutrient supplement with the health indicators, and promoting the prevention of neurodegenerative diseases.

[0013] Further, the personal basic ability of the target object is obtained, including: the age, basic disease, swallowing ability, chewing function, motor ability, self-care ability, and allergic / intolerant food of the target object.

[0014] Further, based on the personal basic ability and short-term and long-term goals of the target object, the dietary structure of the target object is adaptively adjusted, and a dietary structure scheme that meets the personal basic ability and neuropathological status of the target object is constructed, including:

[0015] The personal basic ability of the target object is quantitatively coded, and the quantitatively coded data is converted into a hard constraint condition, wherein the constraint condition comprises three-level constraint rules, the first-level constraint rule is physiological feasibility, the second-level constraint is operation feasibility, and the third-level constraint is safety feasibility; the short-term goal and the long-term goal are converted into specific nutrient requirements and dietary goals, and a nutrient priority ranking based on a target weight is formed; when the maximum key nutrient intake standard rate is met, the preset dietary structure construction model is multi-objective constraint optimized based on the hard constraint condition and the nutrient priority ranking through linear programming, and an optimal dietary structure scheme is obtained.

[0016] In a second aspect, the present application further provides a dietary structure construction system for a neurodegenerative disease, comprising:

[0017] A nutrient intake gap obtaining module is configured to obtain a neuropathological status of a target object and a dietary status of the target object, and determine a nutrient intake gap of the target object based on the neuropathological status and the dietary status of the target object.

[0018] A target setting module is configured to set short-term and long-term goals for neuroprotection of the target object based on the nutrient intake gap of the target object.

[0019] A dietary structure scheme construction module is configured to obtain personal basic ability of the target object, and adaptively adjust a dietary structure of the target object based on the personal basic ability and the short-term and long-term goals of the target object, and construct a dietary structure scheme meeting the personal basic ability and the neuropathological status of the target object.

[0020] In a third aspect, the present application provides an electronic device, comprising:

[0021] One or more processors; a memory; and one or more computer programs, wherein the one or more computer programs are stored in the memory, and the one or more computer programs comprise instructions, when the instructions are executed by the device, causing the device to perform the method of the first aspect.

[0022] In a fourth aspect, the present application provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, when the computer program is run on a computer, causing the computer to perform the method of the first aspect.

[0023] In a fifth aspect, the present application provides a computer program, when the computer program is executed by a computer, for performing the method of the first aspect.

[0024] In a possible design, the program in the fifth aspect can be stored, in whole or in part, on a storage medium packaged together with the processor, or stored, in part or in whole, on a storage medium not packaged together with the processor.

[0025] The present application has the following beneficial effects:

[0026] 1. The present application obtains the neurologic status of the target object and the diet status of the target object, judges the nutrient intake gap of the target object based on the neurologic status and the diet status of the target object, and formulates short-term and long-term goals of neuroprotection for the target object based on the nutrient intake gap of the target object. The present application converts the nutrient intake gap into a quantitative goal by judging the nutrient intake gap of the target object, so that the diet structure can be constructed in accordance with the individual intake capacity of the target object and the neuroprotective effect can be exerted.

[0027] 2. The present application adjusts the diet structure of the target object based on the individual basic ability of the target object and the short-term and long-term goals, constructs a diet structure scheme that meets the individual basic ability and the neurologic status of the target object, and formulates short-term goals to quickly improve the basic state of the target object, and continuously intervenes in the target object through long-term goals, thereby continuously associating the neuroprotective effect of the target object. BRIEF DESCRIPTION OF DRAWINGS

[0028] Figure 1 An exemplary system architecture diagram to which an embodiment of the present application can be applied;

[0029] Figure 2 A diet structure construction execution logic diagram of a neurodegenerative disease according to an embodiment of the present application;

[0030] Figure 3 A diet structure construction method flowchart of a neurodegenerative disease according to an embodiment of the present application;

[0031] Figure 4 A neurologic status acquisition flowchart according to an embodiment of the present application;

[0032] Figure 5 A system flowchart according to an embodiment of the present application;

[0033] Figure 6 A computer device schematic diagram according to an embodiment of the present application. DETAILED DESCRIPTION

[0034] Unless otherwise defined, 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 application belongs; the terminology used in the description herein is for describing particular embodiments only and is not intended to be limiting of the application; the use herein of terms such as "comprise", "comprising", "comprises", "including", "includes" or "have" or "has" are to be construed in an open, non-exclusive way, in the sense that they do not exclude further elements or steps; the use herein of terms such as "first", "second" and the like do not denote any order, quantity, or importance, but rather are used to distinguish one element from another.

[0035] Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase "in an embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are they necessarily mutually exclusive of one another.

[0036] In order to make the persons skilled in the art better understand the scheme of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in combination with the drawings.

[0037] As shown in Figure 1 The system architecture 100 can include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 is used to provide a communication link medium between the terminal devices 101, 102, 103 and the server 105. The network 104 can include various connection types, such as wired, wireless communication links, or optical fiber cables, etc.

[0038] A user can use the terminal devices 101, 102, 103 to interact with the server 105 through the network 104 to receive or send messages, etc. Various communication client applications can be installed on the terminal devices 101, 102, 103, such as web browser applications, shopping applications, search applications, instant messaging tools, email clients, social platform software, etc.

[0039] The terminal devices 101, 102, 103 can be various electronic devices with display screens and supporting web browsing, including but not limited to smartphones, tablet computers, e-book readers, MP3 (Moving Picture Experts Group Audio Layer III) players, MP4 (Moving Picture Experts Group Audio Layer IV) players, laptop portable computers, and desktop computers, etc.

[0040] The server 105 can be a server providing various services, for example, a background server providing support for a page displayed on the terminal device 101, 102, 103.

[0041] It should be noted that the diet structure construction method for a neurodegenerative disease provided in the embodiments of the present application is generally executed by a server / terminal device, and accordingly, a diet structure construction system for a neurodegenerative disease is generally provided in a server / terminal device.

[0042] It should be understood that Figure 1 The number of terminal devices, networks and servers in the above-mentioned system is only illustrative. According to the needs of implementation, there can be any number of terminal devices, networks and servers.

[0043] A neurodegenerative disease is a disease in which the structure and function of the body tissue, organ or cell gradually deteriorate and age, and further lead to dysfunction due to accelerated aging or other factors. The core feature of a neurodegenerative disease is progressive tissue degeneration and loss of function, which is usually related to mechanisms such as cell aging, oxidative stress, inflammatory response, and metabolic abnormalities.

[0044] Adjusting the diet structure for a neurodegenerative disease can prevent and assist in intervening in a neurodegenerative disease. The core is to optimize food ingredients to target the key pathological mechanisms of a neurodegenerative disease, thereby achieving the effects of delaying disease progression, improving symptoms, and protecting neural function.

[0045] Referring to Figure 2 and Figure 3 , Figure 2 is an execution logic diagram of a diet structure construction for a neurodegenerative disease according to the embodiments of the present application. The diet structure construction for a neurodegenerative disease according to the embodiments of the present application includes: obtaining a nutrient intake gap of a target object through the neurological medical history status and the diet status of the target object, formulating short-term and long-term goals based on the nutrient intake gap of the target object, and the personal basic ability of the target object, constructing a specific diet structure for the target object based on the short-term and long-term goals, improving the pathological state and nutritional status of a neurodegenerative disease patient through multi-dimensional improvement, improving the neuroprotective efficacy, delaying the progression of the disease, and effectively improving the quality of life and intervention compliance of the patient.

[0046] Figure 3An optional flowchart of a diet structure construction method for a neurodegenerative disease provided by an embodiment of the present disclosure can be executed by a terminal, can be executed by a server, or can also be executed by a terminal and a server in cooperation. The diet structure construction method for the neurodegenerative disease includes but is not limited to the following steps 301 to 303.

[0047] In step 301, the neuropathological status of a target object and the diet status of the target object are obtained, and based on the neuropathological status and the diet status of the target object, a nutrient intake gap of the target object is determined.

[0048] In the embodiment of the present application, the neuropathological status is obtained through inflammatory markers, oxidative stress indicators, neural metabolism markers, and brain function related indicators.

[0049] It should be noted that the inflammatory markers can reflect the degree of neuroinflammation through inflammatory markers such as serum TNF-α, IL-6, etc. The oxidative stress indicators include glutathione level, MDA content, etc., which evaluate the oxidative damage of neurons of the target object. The neural metabolism markers include cerebrospinal fluid tau protein, homocysteine, etc., which are related to the cognitive decline risk of the target object to reflect the neural metabolism marker level of the target object. The brain function related indicators include cognitive score, motor function score, and disease progression stage to achieve the brain function related indicators of the target object.

[0050] In the embodiment of the present application, the specific steps of obtaining the neuropathological status through the inflammatory markers, the oxidative stress indicators, the neural metabolism markers, and the brain function related indicators include:

[0051] In step 41, a first feature vector is obtained from the inflammatory markers and the oxidative stress indicators, such as marker concentration level and kinetic change trend.

[0052] In the embodiment of the present application, the first feature vector is obtained from the inflammatory markers and the oxidative stress indicators, such as the marker concentration level and the kinetic change trend, including: based on the inflammatory markers and the oxidative stress indicators, obtaining the static concentration mean value and variance as the stable level feature. The inflammatory markers and the oxidative stress indicators are sampled at multiple time points to obtain the time series change characteristics of the marker concentration, such as the slope, the curve area, the peak time and the amplitude, etc. The short-term fluctuations and long-term trends are obtained by the time series analysis method to reveal the dynamic mode of the inflammatory and oxidative stress response.

[0053] In step 42, a metabolic activity indicator and a neural damage degree feature are obtained based on the neural metabolism markers as a second feature vector.

[0054] In the embodiments of the present application, the metabolic activity index and the neural injury degree feature based on the neural metabolic marker are obtained as the second feature vector, wherein the second feature vector includes the metabolic activity index, the neural injury degree, and the spatial distribution feature. The metabolic activity index reflects the energy metabolism capacity of brain cells by extracting the glucose metabolic rate and metabolic flux of brain regions as quantitative indicators. The neural injury degree is evaluated by brain structure image data to assess the atrophy or pathological changes of brain regions as an indirect neural injury indicator. By analyzing the distribution difference of the metabolic activity index in different brain regions, the metabolic function topology feature of the brain region is formed, and the time dynamic feature of the metabolic activity change is extracted based on time series data.

[0055] In step 43, the brain network connection feature, the brain region activation intensity, and the brain electrical rhythm feature in the brain function related indicators are obtained by the spatiotemporal analysis technique as the third feature vector.

[0056] In the embodiments of the present application, the brain network connection feature, the brain region activation intensity, and the brain electrical rhythm feature in the brain function related indicators are obtained by the spatiotemporal analysis technique as the third feature vector, including: based on functional MRI and electroencephalogram data, the functional connection intensity between brain regions is calculated to construct a brain functional connection network graph. The activation intensity of brain regions under specific tasks or resting state is extracted by time series data analysis to evaluate the spatial distribution and changes of brain region activation and identify functional abnormal regions. Based on the time-frequency analysis method, the preset frequency power spectrum feature in the electroencephalogram signal is extracted, the phase synchronization, frequency change, and complexity indicators of the brain electrical rhythm are calculated based on the preset frequency power spectrum feature, and the brain function state and neural regulation ability are obtained.

[0057] In step 44, the first feature vector, the second feature vector, and the third feature vector are fused by weighting to construct a comprehensive neuropathological feature vector.

[0058] Suppose the first feature vector is v1, the second feature vector is v2, and the third feature vector is v3, and the corresponding weights are w1, w2, and w3, then the comprehensive neuropathological feature vector can be expressed as: v=v1w1+v2w2+v3w3.

[0059] In step 45, the neuropathological state score of the comprehensive neuropathological feature vector is calculated based on a preset mathematical statistics to obtain the result expression of the neuropathological status of the target object, wherein the result expression reflects the inflammation degree, the oxidative damage level, and the neural function impairment condition.

[0060] In the embodiments of the present application, based on the neuropathological status and the dietary status of the target object, the nutrient intake gap of the target object is determined, including:

[0061] Obtain the target group's average daily actual nutrient intake and the recommended intake of neuroprotective nutrients; use the absolute value of the difference between the actual intake and the recommended intake as the nutrient intake gap value.

[0062] Pearson correlation analysis was used to obtain the correlation between nutrient intake deficit values ​​and neuropathological index measurements, and core nutrient deficits that meet preset thresholds were screened.

[0063] Step 302: Based on the nutrient intake gap of the target subjects, formulate short-term and long-term goals for neuroprotection of the target subjects.

[0064] In the implementation of this application, based on the nutrient intake deficit of the target subjects, short-term and long-term neuroprotective goals are formulated for the target subjects, including:

[0065] An initial preset threshold is set based on the core nutrient deficiency as a short-term target to fill the gap; based on the short-term target and combined with the need to improve health indicators, a final target value is set, linking nutrient supplementation with health indicators to promote the prevention of neurodegenerative diseases.

[0066] This application, based on the steady achievement of short-term goals and combined with the recovery needs of key health indicators, determines the "final target value" for each nutrient, which is to meet or slightly exceed the recommended intake, ensuring comprehensive achievement of physiological functions and clinical indicators. It links nutrient supplementation with improvements in health indicators, ensuring that intake adjustments can continuously support stable and normal indicators and improved related functions. Long-term goals focus on the continuous optimization of overall individual health, promoting the consolidation of disease prevention or rehabilitation effects.

[0067] Step 303: Obtain the target subject's basic personal abilities. Based on the target subject's basic personal abilities and short-term and long-term goals, make adaptive adjustments to the target subject's dietary structure and construct a dietary structure plan that meets the target subject's basic personal abilities and current neuropathological status.

[0068] In this application embodiment, the target object's basic personal abilities are obtained, including: the target object's age, underlying diseases, swallowing ability, chewing function, motor ability, self-care ability, and allergies / intolerance to certain foods.

[0069] In this embodiment of the application, the basic personal abilities of the target object can be obtained through on-site visits, questionnaires, and interviews with family members.

[0070] In this embodiment of the application, based on the target individual's basic abilities and short-term and long-term goals, the target individual's dietary structure is adaptively adjusted to construct a dietary structure plan that meets the target individual's basic abilities and current neuropathological status, including:

[0071] The personal basic ability of the target object is quantitatively encoded, and the quantitatively encoded data is converted into hard constraint conditions, wherein the constraint conditions include three-level constraint rules, the first-level constraint rule is physiological feasibility, the second-level constraint is operation feasibility, and the third-level constraint is safety feasibility.

[0072] Assuming that the swallowing ability score is S and the chewing function score is M, the rule generation of the first-level constraint can be expressed as: if S≤2, the constraint "food texture must be paste / liquid" is generated; if 2<M≤3, the constraint "hard / crude fiber food (such as celery, whole nuts) is prohibited" is generated; and the score is directly mapped to the prohibited / allowed list of food texture through a decision tree algorithm.

[0073] Assuming that the self-care ability score is C and the food preparation difficulty score is P, the rule generation of the second-level constraint can be expressed as: if C≤2, the constraint "select food with P=1 (easy to prepare)" (such as instant oatmeal, precooked rice) is generated, and food that needs complex processing (such as homemade tofu, whole fish cooking) is excluded.

[0074] Assuming that there is a history of food allergy and drug contraindication (such as Parkinson's disease patients need to avoid high protein and levodopa), the rule generation of the third-level constraint can be expressed as: a "contraindicated food blacklist" (such as "milk, cheese" for people with lactose intolerance) is established through a hash table, which is used as an exclusion item for scheme generation.

[0075] For example, the encoding logic of "swallowing function ≤2 points" directly corresponds to "food texture = paste / liquid". During the subsequent diet scheme generation process, the quantitatively encoded data becomes an unbreakable condition, ensuring that the constructed diet scheme adapts to the actual ability of the target object from the source, so that the constructed diet scheme meets the nutritional needs and the physical condition and life ability of the target object.

[0076] The short-term and long-term goals are converted into specific nutrient requirements and diet goals, and a nutrient priority ranking based on target weight is formed.

[0077] In the embodiments of the present application, the analytic hierarchy process (AHP) is used to calculate the priority weight of nutrients: "target importance" is used as the criterion layer (such as short-term target weight 0.6 and long-term target 0.4); for each nutrient under each target, the relative importance is determined through pairwise comparison matrix (such as Omega-3 weight 0.7 and curcumin weight 0.3 in the "inflammation load reduction" target); and the final priority is obtained by weighted summation (such as Omega-3 comprehensive weight = 0.6 x 0.7 = 0.42, which is the highest priority).

[0078] In meeting the maximum intake of key nutrients, the preset dietary structure construction model is optimized by linear programming based on hard constraints and nutrient priority ranking to obtain the optimal dietary structure scheme.

[0079] Assuming that the intake of each food in the dietary scheme is a decision variable x i (i = 1, 2, …, n), wherein x i is the input of the i-th food, and the objective function of the preset dietary structure construction model is wherein N ij is the content of nutrient j in the i-th food; R j is the recommended intake of nutrient j. x i is. Based on hard constraints and nutrient priority ranking, the objective function is solved by linear programming strategy for multiple nutrient targets. After solving, the intake of each food is output to form a specific dietary structure scheme. The design goal of the objective function is to "maximize the intake of key nutrients", that is, to minimize the total nutrient gap.

[0080] The present application converts the multi-objective requirement into a solvable linear programming objective by linear programming, highlighting the association with the neuroprotective target.

[0081] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and the program can include the processes of the above-mentioned embodiments when executed. The storage medium can be a non-volatile storage medium such as a magnetic disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM).

[0082] It should be understood that although each step in the flowchart of the accompanying drawings is displayed in sequence according to the arrow, these steps are not necessarily executed in sequence according to the arrow. Unless otherwise specified herein, the execution of these steps is not strictly limited in sequence, and they can be executed in other orders. Moreover, at least part of the steps in the flowchart of the accompanying drawings can include multiple sub-steps or multiple stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution sequence is not necessarily sequential, but can be executed in rotation or alternation with other steps or sub-steps or stages of other steps.

[0083] With reference to Figure 5 , as an embodiment of the above-mentioned Figure 3In the implementation of the method, the application provides an embodiment of a dietary structure construction system for a neurodegenerative disease, which is implemented in the system embodiment Figure 3 The system can be applied to various electronic devices, including: a nutrient intake gap obtaining module 501, a goal setting module 502, and a dietary structure scheme construction module 503, which correspond to the method embodiment.

[0084] The nutrient intake gap obtaining module 501 is configured to obtain the neuropathological status of the target object and the dietary status of the target object, and determine the nutrient intake gap of the target object based on the neuropathological status and the dietary status of the target object.

[0085] The goal setting module 502 is configured to set short-term and long-term goals for neuroprotection of the target object based on the nutrient intake gap of the target object.

[0086] The dietary structure scheme construction module 503 is configured to obtain the personal basic ability of the target object, and adaptively adjust the dietary structure of the target object based on the personal basic ability and the short-term and long-term goals, to construct a dietary structure scheme that meets the personal basic ability and the neuropathological status of the target object.

[0087] The application obtains the neuropathological status of the target object and the dietary status of the target object, determines the nutrient intake gap of the target object based on the neuropathological status and the dietary status of the target object, sets short-term and long-term goals for neuroprotection of the target object based on the nutrient intake gap of the target object, obtains the personal basic ability of the target object, and adaptively adjusts the dietary structure of the target object based on the personal basic ability and the short-term and long-term goals, to construct a dietary structure scheme that meets the personal basic ability and the neuropathological status of the target object. The application improves the pathological state and nutritional status of patients with neurodegenerative diseases in multiple dimensions, improves the neuroprotection efficiency, delays the progression of the disease, and effectively improves the quality of life and intervention compliance of the patients.

[0088] To solve the above technical problems, the application embodiment further provides a computer device. For details, please refer to Figure 6 , Figure 6 The basic structure block diagram of the computer device of the embodiment is shown in the figure.

[0089] The computer device 6 includes a memory 6a, a processor 6b, and a network interface 6c, which are communicatively connected by a system bus. It should be noted that only the computer device 6 with components 6a-6c is shown in the figure, but it should be understood that all the components shown are not required to be implemented, and more or fewer components can be alternatively implemented. Among them, those skilled in the art can understand that the computer device herein is a device capable of automatically performing numerical calculation and / or information processing according to pre-set or stored instructions, and its hardware includes but is not limited to microprocessors, application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), digital signal processors (DSPs), embedded devices, etc.

[0090] The computer device can be a desktop computer, a notebook computer, a palm computer, a cloud server, and the like. The computer device can interact with the user through a keyboard, a mouse, a remote controller, a touchpad, a voice control device, and the like.

[0091] The memory 6a includes at least one type of readable storage medium, including a flash memory, a hard disk, a multimedia card, a card-type memory (e.g., an SD or DX memory, etc.), a random access memory (RAM), a static random access memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, an optical disk, and the like. In some embodiments, the memory 6a can be an internal storage unit of the computer device 6, such as a hard disk or a memory of the computer device 6. In other embodiments, the memory 6a can also be an external storage device of the computer device 6, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, and the like. Of course, the memory 6a can also include both the internal storage unit and the external storage device of the computer device 6. In the present embodiment, the memory 6a is generally used to store an operating system and various application software installed on the computer device 6, such as program codes of a dietary structure construction method for a neurodegenerative disease, and the like. In addition, the memory 6a can also be used to temporarily store various data that have been output or will be output.

[0092] The processor 6b may be a central processing unit (CPU), a controller, a microcontroller, a microprocessor, or other data processing chip in some embodiments. The processor 6b is generally used to control the overall operation of the computer device 6. In the present embodiment, the processor 6b is configured to run program codes or process data stored in the memory 6a, such as program codes of the dietary structure construction method for neurodegenerative diseases.

[0093] The network interface 6c may include a wireless network interface or a wired network interface, and is generally used to establish a communication connection between the computer device 6 and other electronic devices.

[0094] The present application also provides another embodiment, i.e., to provide a non-volatile computer readable storage medium storing a program of a dietary structure construction method for neurodegenerative diseases, which can be executed by at least one processor to enable the at least one processor to perform the steps of the dietary structure construction method for neurodegenerative diseases as described above.

[0095] From the above description of the embodiments, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be realized by means of software and necessary general hardware platforms, of course, they can also be realized by hardware, but in many cases, the former is a better embodiment. Based on such understanding, the technical solutions of the present application can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, or optical disk) and includes a plurality of instructions for enabling a terminal device (which can be a mobile phone, a computer, a server, an air conditioner, or a network device) to perform the methods described in the various embodiments of the present application.

[0096] Obviously, the above-described embodiments are only some of the embodiments of the present application, but not all the embodiments. The preferred embodiments of the present application are shown in the drawings, but do not limit the patent scope of the present application. The present application can be implemented in many different forms, and conversely, the purpose of providing these embodiments is to make the disclosure of the present application more thorough and comprehensive. Although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments, or make equivalent replacements to some technical features. Any equivalent structure made by referring to the contents of the specification and drawings, directly or indirectly applied to other related technical fields, is also within the scope of the patent protection of the present application.

Claims

1. A method for constructing a dietary structure for a neurodegenerative disease, characterized by, The method comprises the following steps: Obtain the neuro-pathological status of the target object and the dietary status of the target object, and determine the nutrient intake gap of the target object based on the neuro-pathological status and the dietary status of the target object; Based on the nutrient intake gap of the target object, formulate short-term and long-term goals for the neuro-protection of the target object; Obtain the personal basic ability of the target object, and adaptively adjust the dietary structure of the target object based on the personal basic ability, the short-term goal and the long-term goal of the target object, and construct a dietary structure scheme that meets the personal basic ability and the neuro-pathological status of the target object.

2. The dietary structure building method for neurodegenerative diseases according to claim 1, characterized by, The neuro-pathological status is obtained through inflammatory markers, oxidative stress indicators, neural metabolism markers and brain function related indicators.

3. The dietary structure building method for neurodegenerative disease according to claim 2, characterized by, The neuro-pathological status is obtained through inflammatory markers, oxidative stress indicators, neural metabolism markers and brain function related indicators, including: A first feature vector is obtained from the inflammatory markers and oxidative stress indicators; Based on the neural metabolism markers, a metabolic activity indicator and a neural damage degree feature are obtained as a second feature vector; Through the space-time analysis technology, the brain network connection feature, the brain region activation intensity and the brain electrical rhythm feature in the brain function related indicators are obtained as a third feature vector; The first feature vector, the second feature vector and the third feature vector are fused by weighting to construct a comprehensive neuro-pathological feature vector; Based on the preset mathematical statistics, the neuro-pathological state score of the comprehensive neuro-pathological feature vector is calculated to obtain the result expression of the neuro-pathological status of the target object, wherein the result expression reflects the inflammation degree, oxidative damage level and neural function impairment condition.

4. The dietary structure building method for neurodegenerative disease according to claim 1, characterized by, Based on the neuro-pathological status and the dietary status of the target object, the nutrient intake gap of the target object is determined, including: Obtain the daily average nutrient actual intake of the target object and the recommended amount of neuro-protection related nutrients; the absolute value of the difference between the actual intake and the recommended amount is taken as the nutrient intake gap value. The correlation between the nutrient intake gap value and the neuro-pathological index measurement value is obtained through Pearson correlation analysis, and the core nutrient gap that meets the preset threshold is screened.

5. The method of claim 1, wherein the neurodegenerative disease is selected from the group consisting of Alzheimer's disease, Parkinson's disease, Huntington's disease, amyotrophic lateral sclerosis, and multiple system atrophy. Based on the nutrient intake gap of the target object, the short-term and long-term goals for the neuro-protection of the target object are formulated, including: Based on the core nutrient gap, an initial preset threshold is set as the filling target of the short-term goal; on the basis of the short-term goal, the final target value is set in combination with the improvement demand of the health index, so as to associate the nutrient supplement with the health index and promote the prevention of neurodegenerative diseases.

6. The method of claim 1, wherein the neurodegenerative disease is selected from the group consisting of Alzheimer's disease, Parkinson's disease, Huntington's disease, amyotrophic lateral sclerosis, and multiple system atrophy. Obtain the personal basic ability of the target object, including: the age, basic disease, swallowing ability, chewing function, motor ability, self-care ability and allergic / intolerant food of the target object.

7. The method of claim 1, wherein the neurodegenerative disease is selected from the group consisting of Alzheimer's disease, Parkinson's disease, Huntington's disease, amyotrophic lateral sclerosis, and multiple system atrophy. Based on the personal basic ability, the short-term goal and the long-term goal of the target object, the dietary structure of the target object is adaptively adjusted, and a dietary structure scheme that meets the personal basic ability and the neuro-pathological status of the target object is constructed, including: Quantitative coding is performed on the personal basic ability of the target object, and the quantitative coding data is converted into a hard constraint condition, wherein the constraint condition includes three-level constraint rules, the first-level constraint rule is physiological feasibility, the second-level constraint rule is operational feasibility, and the third-level constraint rule is safety feasibility; The short-term and long-term goals are converted into specific nutrient requirements and dietary goals, and a nutrient priority ranking is formed based on the goal weights; When the maximum key nutrient intake compliance rate is met, a multi-objective constraint optimization is performed on the preset dietary structure construction model based on the hard constraint condition and the nutrient priority ranking, and an optimal dietary structure scheme is obtained.

8. A dietary structure building system for a neurodegenerative disease, for implementing the dietary structure building method for a neurodegenerative disease according to claims 1 to 7, characterized by The method comprises the following steps: a nutrient intake gap obtaining module, configured to obtain a neuro-pathological status of a target object and a dietary status of the target object, and determine a nutrient intake gap of the target object based on the neuro-pathological status and the dietary status of the target object; a goal setting module, configured to set short-term and long-term goals for neuro-protection of the target object based on the nutrient intake gap of the target object; a dietary structure scheme construction module, configured to obtain a personal basic ability of the target object, and adaptively adjust a dietary structure of the target object based on the personal basic ability and the short-term and long-term goals, and construct a dietary structure scheme meeting the personal basic ability and the neuro-pathological status of the target object.

9. An electronic device, comprising: The method comprises the following steps: one or more processors; a memory for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors implement the method of any one of claims 1-7.

10. A computer readable storage medium having stored thereon computer instructions, wherein, The instruction is executed by the processor to implement the steps of the method of any one of claims 1-7.

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