CN115148333B - Intelligent medical treatment and nutrition guarantee system based on remote audio and video interaction technology - Google Patents
Intelligent medical treatment and nutrition guarantee system based on remote audio and video interaction technology Download PDFInfo
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Abstract
The invention discloses an intelligent medical treatment and nutrition guarantee system based on a remote audio and video interaction technology, which comprises the following components: the diagnosis and treatment suggestion obtaining module, the food nutrition supplying module, the distribution diagram drawing module and the food material proportion output module. According to the invention, the face complexion of the patient is collected, the consultation of the doctor is completed in a remote audio-video mode when the complexion is not good, the matching of nutrient elements is carried out according to the diagnosis and treatment suggestion of the doctor and the existing food materials, and meanwhile, the food materials are cooked through the automatic cooking machine, so that the requirement that the patient has no time to process is met; according to the food material processing method, when the diagnosis and treatment suggestions of doctors are matched with the existing food materials in terms of nutrient elements, matching is completed in an image mode, so that the food materials meeting the requirements and the cooking mode can be quickly screened out, the nutrient value of the food materials is improved according to the cooking mode, the nutrient value of the existing food materials is fully exerted, and the purpose of conditioning the body of a patient is achieved.
Description
Technical Field
The invention relates to the field of intelligent medical treatment, in particular to an intelligent medical treatment and nutrition guarantee system based on a remote audio and video interaction technology.
Background
Along with the continuous abundance of material life, people's quality of life also is in the state that constantly promotes, and people more and more concern oneself healthy, in case the health has appeared unusual little condition, will in time go to the hospital, take care of oneself's health through the mode that the doctor looked at a doctor to make oneself keep a good health state, more adaptation life.
When the doctor is hospitalized, the doctor can conduct medical inquiry to the patient in a face-diagnosis mode, then prescribe a medicine to the patient, and remind the patient to pay attention to nutrition collocation of diet, so that the physical condition of the patient is better improved. However, when the patient is recovering later, it is often unclear how to perform proper nutrition matching, so that the patient's physical condition is not recovered well due to improper nutrition matching, and in severe cases, the patient's condition is aggravated due to wrong nutrition matching.
At present, when a patient collocates diet, the patient can inquire the corresponding diet collocation strategy on the Internet according to the advice support of a doctor, and the patient can make the diet collocation strategy according to the found diet collocation, and finally eat the prepared diet, so that the diet collocation effect is achieved. However, in such a method, the food preparation needs to be omitted according to the collocation, and a lot of time is needed, rather than the reasonable utilization of the existing food. Meanwhile, the set of process is very time-consuming, and is undoubtedly an impossible task for the patients with busy work and life.
Disclosure of Invention
The invention aims to overcome the problems in the prior art and provide an intelligent medical and nutrition guarantee system based on a remote audio-video interaction technology, nutritional elements are matched with the existing food materials through diagnosis and treatment suggestions of doctors, and meanwhile, the food materials are cooked through an automatic cooking machine, so that the requirement that a patient does not have time processing is met.
Therefore, the invention provides an intelligent medical and nutrition guarantee system based on a remote audio and video interaction technology, which comprises the following components:
the diagnosis and treatment suggestion acquisition module is used for acquiring diagnosis and treatment suggestions of doctors to patients, acquiring nutrient element requirements according to the diagnosis and treatment suggestions, and acquiring the types and the corresponding quantities of nutrient elements according to the nutrient element requirements;
the food material nutrition supply module is used for acquiring the types of the existing food materials and acquiring the types and the corresponding quantity of nutrient elements contained in each existing food material in different cooking modes through a food material database;
the distribution diagram drawing module is used for drawing a nutrition demand distribution diagram according to the types and the corresponding quantity of the nutrient elements in the diagnosis and treatment suggestion acquisition module; drawing a plurality of nutrition supply distribution maps according to the types and the corresponding quantities of the nutrient elements contained in each existing food material in different cooking modes in the food material nutrition supply module;
and the food material proportioning output module is used for calculating characteristic values of the nutrition demand distribution map and characteristic values of each nutrition supply distribution map, inputting the characteristic values into a set model, outputting the characteristic values to obtain a plurality of characteristic values, respectively corresponding the output characteristic values to the nutrition supply distribution maps, corresponding to the types and cooking modes of the corresponding existing food materials, and outputting the types and cooking modes of the existing food materials.
Further, the histogram drawing module includes:
the nutrition distribution drawing module is used for establishing a blank picture and drawing the blank picture according to the types and the corresponding quantity of the nutrition elements to obtain a nutrition distribution map; in the nutrition distribution map, each nutrition element type corresponds to a different color value, and the number corresponding to each nutrition element type corresponds to the number of pixel points;
the nutrition requirement drawing module inputs the types and the corresponding quantities of the nutrient elements in the nutrient element requirements in the diagnosis and treatment suggestion acquisition module into the nutrition distribution drawing module and outputs the obtained nutrition distribution map as a nutrition requirement distribution map;
and the nutrition supply drawing module is used for respectively inputting the types of the nutrient elements contained in each existing food material in the food material nutrition supply module under different cooking modes and the corresponding quantity of the nutrient elements to the nutrition distribution drawing module, outputting the obtained nutrition distribution diagram as the nutrition supply distribution diagram of each existing food material under one cooking mode, and obtaining a plurality of nutrition supply distribution diagrams.
Furthermore, different pixel points in the nutrition distribution map respectively correspond to a kind of nutrient element.
Further, in the food material ratio output module, when the set model processes data, the method includes the following steps:
the characteristic value K of the nutrition demand profile and the characteristic value K of the nutrition supply profile are compared n A separation, wherein N =1,2, \8230;, N, and N ∈ Z, wherein N is the total number of characteristic values of the nutritional feeding profile;
calculating the characteristic value k of each nutrition supply distribution map in turn n Difference c from the characteristic value K of the nutritional requirement profile n ;
According to the value c n Sequentially arranging the characteristic values of the nutrition supply distribution diagram from small to large to correspond to the characteristic value k of the nutrition supply distribution diagram n Sequencing in sequence;
computing
Wherein i belongs to Z, and alpha belongs to Z;
setting an error constant beta, wherein the beta belongs to Z, and outputting the value of n when the alpha is less than or equal to the beta;
extracting k participating in calculation i And outputting the corresponding nutrition supply distribution map.
Furthermore, the error constant β is set according to the diagnosis and treatment advice of the patient by the doctor, and when the error constant β is set, the diagnosis and treatment advice of the patient by the doctor is classified, and the corresponding error constant β is set according to the grade.
Further, when the diagnosis and treatment suggestion acquisition module acquires the diagnosis and treatment suggestion of a doctor to a patient, the diagnosis and treatment suggestion acquisition module comprises the following steps of:
obtaining the face color of a patient and the light intensity currently generating the face color;
analyzing the facial color and the light intensity to obtain the attribute degree of the facial complexion of the patient;
when the attribute degree of the facial complexion of the patient exceeds a set range, the doctor end is connected in a remote audio and video mode;
and acquiring the diagnosis and treatment suggestion given by the doctor end.
Furthermore, the face color and the existing food materials are acquired through a camera on the same device.
Further, the attribute degree of the facial complexion of the patient and the corresponding diagnosis and treatment suggestion are respectively represented in an array form, and the method comprises the following steps:
establishing a neural network model, and training the neural network model by using the attribute degree of the facial complexion of the patient and the corresponding diagnosis and treatment suggestion;
and outputting the corresponding diagnosis and treatment suggestion when the attribute degree of the facial complexion of the patient does not exceed a set range.
Furthermore, when the doctor end is connected in a remote audio and video mode, the intelligent device is connected through the Bluetooth, and network data of the intelligent device connected through the Bluetooth are obtained.
Further, the food material proportioning output module outputs the existing food material types and cooking modes to an automatic cooking machine.
The intelligent medical and nutrition guarantee system based on the remote audio and video interaction technology has the following beneficial effects:
according to the invention, the consultation of doctors is completed in a remote audio and video mode by collecting the facial complexion of the patients when the complexion is poor, the matching of nutrient elements is carried out according to the diagnosis and treatment suggestions of the doctors and the existing food materials, and meanwhile, the food materials are cooked by the automatic cooking machine, so that the requirement that the patients have no time to process is met;
when the diagnosis and treatment suggestions of doctors are matched with the existing food materials for nutrient elements, matching is completed in an image mode, so that the food materials meeting the requirements and the cooking mode can be quickly screened out, the nutrient value of the food materials is improved according to the cooking mode, the nutrient value of the existing food materials is fully exerted, and the aim of conditioning the body of a patient is fulfilled;
the invention is integrated in a small device, is easy to carry, can meet the requirement that a patient can use at any time under different situations, and meanwhile, when the patient is in consultation with remote audios and videos of doctors, the data connection is carried out by using the network of a commonly used intelligent terminal, so that the part of network connection is saved, and the invention has the effects of power saving and the like.
Drawings
FIG. 1 is a schematic block diagram of the overall system connection of the present invention;
FIG. 2 is a schematic block diagram of a process for processing data according to a set model of the present invention;
fig. 3 is a schematic block diagram of a process of acquiring a doctor's medical advice of a patient by the medical advice acquisition module according to the present invention.
Detailed Description
One embodiment of the present invention will be described in detail below with reference to the accompanying drawings, but it should be understood that the scope of the invention is not limited to the embodiment.
In the present application, the type and structure of components that are not specified are all the prior art known to those skilled in the art, and those skilled in the art can set the components according to the needs of the actual situation, and the embodiments of the present application are not specifically limited.
Specifically, as shown in fig. 1 to 3, an embodiment of the present invention provides an intelligent medical and nutritional support system based on a remote audio/video interaction technology, including: the diagnosis and treatment suggestion obtaining module, the food nutrition supplying module, the distribution diagram drawing module and the food material proportion output module. The nutrition required by the patient is reasonably matched in an image mode, so that the supply and demand are the same, and finally the matched food materials are output. The following is a detailed description of the operation of each functional module.
The diagnosis and treatment suggestion acquisition module is used for acquiring diagnosis and treatment suggestions of doctors to patients, acquiring nutrient element requirements according to the diagnosis and treatment suggestions, and acquiring the types and the corresponding quantities of nutrient elements according to the nutrient element requirements; the module is used for obtaining diagnosis and treatment suggestions of doctors to patients, supplementing the nutrient elements needed by the patients through the diagnosis and treatment suggestions, and then obtaining the needed nutrient element types and the corresponding number in detail. In practice, the types and the corresponding quantities of the nutrient elements of the patient can be obtained according to the literal analysis of the diagnosis and treatment advice, or the types and the corresponding quantities of the nutrient elements can be directly recorded in the diagnosis and treatment advice of the doctor.
The food material nutrition supply module is used for acquiring the types of the existing food materials and acquiring the types and the corresponding quantities of the nutrient elements contained in each of the existing food materials in different cooking modes through a food material database; the module makes full use of the existing food materials, analyzes the existing food materials to obtain the types of the nutrient elements contained in the existing food materials and the corresponding quantity of the nutrient elements, and because different food materials have certain differences in different cooking modes, the types of the nutrient elements capable of being volatilized and the corresponding quantity of the nutrient elements, so that the factors of the cooking modes are added, the types of the nutrient elements released by each food material in different cooking modes and the corresponding quantity of the nutrient elements are in one-to-one correspondence, and the module obtains the nutrient condition of food.
The distribution diagram drawing module is used for drawing a nutrition demand distribution diagram according to the types and the corresponding quantities of the nutrient elements in the diagnosis and treatment suggestion acquisition module; drawing a plurality of nutrition supply distribution maps according to the types and the corresponding quantities of the nutrient elements contained in each existing food material in different cooking modes in the food material nutrition supply module; the module draws the types and the corresponding quantity of the nutrient elements required by the patient and the types and the corresponding quantity of the nutrient elements which can be provided currently in an image mode through a distribution diagram mode, and facilitates subsequent processing.
And the food material proportioning output module is used for calculating the characteristic values of the nutrition demand distribution map and the characteristic values of each nutrition supply distribution map, inputting the characteristic values into a set model, outputting the characteristic values to obtain a plurality of characteristic values, respectively corresponding the output characteristic values to the nutrition supply distribution maps, corresponding the types and cooking modes of the corresponding existing food materials, and outputting the types and cooking modes of the existing food materials. The module collocates the nutrient element types and the corresponding quantity of the nutrient element types volatilized by the existing food materials with the requirement of a patient through the obtained distribution diagram, so that when the patient can be in line with medical advice, the existing food materials cannot be wasted, on the contrary, the existing food materials are enabled to exert the maximum recovery effect, a large amount of strategy study time of the patient is saved, cooking can be carried out according to the output food material types and cooking modes, and a large amount of preparation time is saved.
In summary, the invention proposes the types and the corresponding quantities of the nutritional elements needed to be supplemented by the patient in the diagnosis and treatment advice of the mobile phone doctor, and simultaneously fully utilizes the existing food materials by combining the food materials which are already stored in life of the patient, so that the existing food materials exert the maximum recovery effect, and simultaneously saves a great deal of strategy research time of the patient, and the patient can cook the food materials according to the output food material types and cooking modes, thereby saving a great deal of preparation time.
In addition, it should be emphasized that, the present invention uses a histogram plotting method to plot the nutrient element types and the corresponding numbers thereof, so that when the nutrient element types and the corresponding numbers thereof are processed in the following, the nutrient element types and the corresponding numbers thereof are processed in an inter-image processing method (the method of the present invention uses the characteristic values of the images), which reduces the number of processing inputs compared with a data processing method, does not reduce the data contained therein, has a more comprehensive advantage of the data compared with the direct processing of the data, and does not generate unnecessary calculation errors during the data processing. In the present invention, the histogram drawing module includes: the nutrition distribution drawing module, the nutrition demand drawing module and the nutrition supply drawing module.
The nutrition distribution drawing module is used for establishing a blank picture and drawing the blank picture according to the types and the corresponding quantity of the nutrition elements to obtain a nutrition distribution map; in the nutrition distribution map, each nutrition element type corresponds to a different color value, and the number corresponding to each nutrition element type corresponds to the number of pixel points (this is a drawing method of the nutrition distribution map, namely a principle of drawing the nutrition distribution map, the invention draws different nutrition element types and the numbers corresponding to the nutrition element types on the same picture, so that each nutrition distribution map respectively corresponds to the nutrition element type and the number corresponding to the nutrition element type of one image main body); the module is an instruction module for drawing a distribution diagram, and outputs a corresponding nutrition distribution diagram according to the types and the corresponding quantity of the input nutrient elements.
The nutrition demand drawing module inputs the types and the corresponding quantity of the nutrient elements in the nutrient element demands in the diagnosis and treatment suggestion acquisition module into the nutrition distribution drawing module, and outputs the obtained nutrition distribution map as a nutrition demand distribution map; and obtaining the required nutrition profile of the patient, namely the nutrition demand profile.
And the nutrition supply drawing module is used for respectively inputting the types of the nutrient elements contained in each existing food material in the food material nutrition supply module under different cooking modes and the corresponding quantity of the nutrient elements to the nutrition distribution drawing module, outputting the obtained nutrition distribution diagram as the nutrition supply distribution diagram of each existing food material under one cooking mode, and obtaining a plurality of nutrition supply distribution diagrams. And obtaining a nutrition distribution map, namely a nutrition supply distribution map, of each food material in each cooking mode.
The technical scheme describes the drawing process of the nutrition demand distribution map and the nutrition supply distribution map, and preferably, different pixel points in the nutrition distribution map respectively correspond to a nutrient element type. The superposition of colors in the same pixel points can not be generated in a dispersing mode, so that the types of the nutrient elements are clearly represented, and the data expressed by the whole nutrient distribution diagram is more accurate.
In an embodiment of the present invention, a specific process of processing a nutrition distribution map to obtain a collocation of an existing food material is provided, and in the food material matching output module, when processing data, the set model includes the following steps:
(one) assigning a characteristic value K of said nutritional requirement profile and a characteristic value K of said nutritional supply profile n A partition where N =1,2, \8230;, N, and N ∈ Z, where N is the total number of characteristic values of the nutritional feeding profile;
(II) calculating the characteristic value k of each nutrition supply distribution diagram in turn n Difference c from the characteristic value K of the nutritional requirement profile n ;
(III) according to the value c n Sequentially changing the characteristic value k of the nutrient supply distribution diagram from small to large n Sequencing in sequence;
(IV) calculating
Wherein i belongs to Z, and alpha belongs to Z;
setting an error constant beta, wherein the beta belongs to Z, and outputting the value of n when the alpha is less than or equal to the beta;
(VI) extracting k participating in calculation i And outputting the corresponding nutrition supply distribution map.
The steps (a) to (six) are sequentially performed according to a logic sequence, in the step (a), two types of nutrition distribution maps are separated, wherein the nutrition demand distribution map is only one, the nutrition supply distribution maps are multiple, the step (b) is to calculate the characteristic values of the nutrition supply distribution maps and the characteristic values of the nutrition demand distribution maps, the two values are approximately close to each other, the types of the provided nutrition elements and the corresponding quantity of the nutrition elements are closer to the demand, the step (c) is to sort according to the difference degree and match the nutrition elements with small difference preferentially, the step (c) is to perform a simulation matching circulation process, and a formula represents the simulation matching circulation process, so that the types of the nutrition elements and the corresponding quantity of the nutrition elements can be provided are approximately consistent to the demand in different cooking modes in a combination mode, the step (c) is to set the approximately consistent degree, and the step (six) is to output matched food materials and cooking modes.
Preferably, the error constant β is set according to a medical advice of a patient by a doctor, and the medical advice of the patient by the doctor is classified at the time of setting, and the corresponding error constant β is set according to the classification. The mode can make the patient have better effect when the body is recovered.
In addition, the invention aims to enable the patient to be more convenient and portable when in use, and solves the problems that the patient is easy to carry when going out, and the physical state of the patient is obtained in a more intelligent mode, and the patient does not provide more experience service.
In the invention, when the diagnosis and treatment suggestion acquisition module acquires the diagnosis and treatment suggestion of a doctor to a patient, the diagnosis and treatment suggestion acquisition module comprises the following steps:
(1) Obtaining the face color of a patient and the current light intensity for generating the face color;
(2) Analyzing the facial color and the light intensity to obtain the attribute degree of the facial complexion of the patient;
(3) When the attribute degree of the facial complexion of the patient exceeds a set range, the doctor end is connected in a remote audio and video mode;
(4) And acquiring the diagnosis and treatment suggestion given by the doctor end.
According to the technical scheme, the steps (1) to (4) are sequentially carried out, the color of the face is used for obtaining the color of the patient, the body state of the patient is judged according to the angle of traditional Chinese medicine, the body state of the patient is reflected according to the attribute degree of the face color, when needed, a doctor is connected, online consultation is realized in a remote audio-video mode, and finally the diagnosis and treatment suggestion given by the doctor end is collected after the consultation is finished. In the invention, in order to enable the face color to reflect the face complexion, the attribute degree of the face complexion is obtained by comprehensively judging and analyzing the face complexion and the light intensity, thereby ensuring the accuracy of relieving.
In order to integrate the product of the invention on the same device and facilitate the use of users, the facial color and the existing food material are obtained by a camera on the same device. Therefore, when the patient uses the device, the face and food materials of the patient can be shot by the camera.
Preferably, in order to enable the product of the present invention to have the protective and preventive effects, that is, to perform the body nursing of the patient by self-supplementing nutrition when the attribute degree of the facial complexion of the patient slightly changes, the present invention respectively represents the attribute degree of the facial complexion of the patient and the corresponding diagnosis and treatment advice in the form of an array, and includes the following steps:
-1-building a neural network model and training the neural network model using the degree of the attribute of the facial complexion of the patient and the corresponding diagnosis and treatment recommendation;
-2-outputting the corresponding diagnosis and treatment suggestion when the attribute degree of the facial complexion of the patient does not exceed the set range.
The steps-1-2-are sequentially carried out through a logic sequence, a model with a personalized nursing scheme for the patient is established in a model mode, and when the physical condition of the patient is not good but the doctor is not seen, the matching of food materials can be completed through the model, the conditioning of the physical condition of the patient is completed, and the effect of preventing the patient from getting ill is achieved.
Preferably, when the doctor end is connected in a remote audio and video mode, the intelligent device is connected through Bluetooth, and network data of the intelligent device connected through Bluetooth are acquired. By reducing modules on the device for connecting to internet access, the data energy consumption of the device is reduced.
In the invention, the food material proportioning output module outputs the existing food material types and cooking modes to the automatic cooker. The automatic cooker strictly cooks food materials according to the quantity according to the food material types and cooking modes.
In the present invention, it is emphasized that each nutrition supply profile corresponds to a cooking regime of one of the food materials, for example a cooking regime of a potato using steam.
The above disclosure is only for a few specific embodiments of the present invention, however, the present invention is not limited to the above embodiments, and any variations that can be made by those skilled in the art are intended to fall within the scope of the present invention.
Claims (8)
1. An intelligent medical treatment and nutrition guarantee system based on remote audio and video interaction technology is characterized by comprising:
the diagnosis and treatment suggestion acquisition module is used for acquiring diagnosis and treatment suggestions of doctors to patients, acquiring nutrient element requirements according to the diagnosis and treatment suggestions, and acquiring the types and the corresponding quantities of nutrient elements according to the nutrient element requirements;
the food material nutrition supply module is used for acquiring the types of the existing food materials and acquiring the types and the corresponding quantities of the nutrient elements contained in each of the existing food materials in different cooking modes through a food material database;
the distribution diagram drawing module is used for drawing a nutrition demand distribution diagram according to the types and the corresponding quantities of the nutrient elements in the diagnosis and treatment suggestion acquisition module; drawing a plurality of nutrition supply distribution maps according to the types and the corresponding quantities of the nutrient elements contained in each existing food material in different cooking modes in the food material nutrition supply module;
a food material proportioning output module which calculates characteristic values of the nutrition demand distribution map and characteristic values of each nutrition supply distribution map, inputs the characteristic values into a set model, outputs the characteristic values to obtain a plurality of characteristic values, corresponds the output characteristic values to the nutrition supply distribution maps respectively, corresponds to the corresponding types and cooking modes of the existing food materials, and outputs the types and cooking modes of the existing food materials;
in the food material ratio output module, the set model comprises the following steps when processing data:
the characteristic value K of the nutrition demand profile and the characteristic value K of the nutrition supply profile are compared n A partition where N =1,2, \8230;, N, and N ∈ Z, where N is the total number of characteristic values of the nutritional feeding profile;
calculating the characteristic value k of each nutrition supply distribution map in turn n Difference c from the characteristic value K of the nutritional requirement profile n ;
According to the value c n Sequentially changing the characteristic value k of the nutrient supply distribution diagram from small to large n Sequencing in sequence;
computing
Wherein i belongs to Z, and alpha belongs to Z;
setting an error constant beta, wherein beta belongs to Z, and outputting the value of n when alpha is less than or equal to beta;
extracting the information involved in the calculationk i Outputting a corresponding nutrition supply distribution map;
the error constant beta is set according to the diagnosis and treatment suggestions of the patient by the doctor, the diagnosis and treatment suggestions of the patient by the doctor are graded during setting, and the corresponding error constant beta is set according to the grade.
2. The intelligent medical and nutritional support system based on remote audio-video interaction technology as claimed in claim 1, wherein the profile drawing module comprises:
the nutrition distribution drawing module is used for establishing a blank picture and drawing the blank picture according to the types and the corresponding quantity of the nutrition elements to obtain a nutrition distribution map; in the nutrition distribution map, each nutrition element type corresponds to a different color value, and the number corresponding to each nutrition element type corresponds to the number of pixel points;
the nutrition demand drawing module inputs the types and the corresponding quantity of the nutrient elements in the nutrient element demands in the diagnosis and treatment suggestion acquisition module into the nutrition distribution drawing module, and outputs the obtained nutrition distribution map as a nutrition demand distribution map;
and the nutrition supply drawing module is used for respectively inputting the types of the nutrient elements contained in each existing food material in the food material nutrition supply module under different cooking modes and the corresponding quantity of the nutrient elements to the nutrition distribution drawing module, outputting the obtained nutrition distribution diagram as the nutrition supply distribution diagram of each existing food material under one cooking mode, and obtaining a plurality of nutrition supply distribution diagrams.
3. The system of claim 2, wherein different pixels in the nutrition profile correspond to different types of nutrient elements.
4. The intelligent medical and nutritional support system based on remote audio-video interaction technology as claimed in claim 1, wherein the medical advice acquisition module, when acquiring medical advice of a doctor on a patient, comprises the following steps:
obtaining the face color of a patient and the current light intensity for generating the face color;
analyzing the facial color and the light intensity to obtain the attribute degree of the facial complexion of the patient;
when the attribute degree of the facial complexion of the patient exceeds a set range, the doctor end is connected in a remote audio and video mode;
and acquiring the diagnosis and treatment suggestion given by the doctor end.
5. The intelligent medical and nutritional support system based on the remote audio-video interaction technology as claimed in claim 4, wherein the facial color and the existing food materials are both obtained through a camera on the same device.
6. The intelligent medical and nutritional support system based on remote audio-video interactive technology according to claim 4, wherein the attribute degree of facial complexion of the patient and the corresponding diagnosis and treatment suggestion are respectively expressed in an array form, and the intelligent medical and nutritional support system comprises the following steps:
establishing a neural network model, and training the neural network model by using the attribute degree of the facial complexion of the patient and the corresponding diagnosis and treatment suggestion;
and outputting the corresponding diagnosis and treatment suggestion when the attribute degree of the facial complexion of the patient does not exceed a set range.
7. The system according to claim 4, wherein when the medical end is connected in a remote audio-video manner, the intelligent device is connected through Bluetooth, and network data of the intelligent device connected through Bluetooth is acquired.
8. The intelligent medical and nutritional support system based on remote audio-video interaction technology as claimed in claim 1, wherein the food material matching output module outputs the existing food material types and cooking modes to an automatic cooker.
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