CN114242224A - Doctor recommendation method and device, electronic equipment and storage medium - Google Patents

Doctor recommendation method and device, electronic equipment and storage medium Download PDF

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Publication number
CN114242224A
CN114242224A CN202111629592.XA CN202111629592A CN114242224A CN 114242224 A CN114242224 A CN 114242224A CN 202111629592 A CN202111629592 A CN 202111629592A CN 114242224 A CN114242224 A CN 114242224A
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doctor
pet
nasal
nose
determining
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CN202111629592.XA
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彭永鹤
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New Ruipeng Pet Healthcare Group Co Ltd
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New Ruipeng Pet Healthcare Group Co Ltd
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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms

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  • Health & Medical Sciences (AREA)
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  • Biomedical Technology (AREA)
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  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Primary Health Care (AREA)
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Abstract

The embodiment of the application discloses a doctor recommendation method and device, electronic equipment and a storage medium. The method comprises the following steps: the electronic equipment determines at least one doctor to be selected corresponding to the pet according to the nose print information by obtaining the nose print information of the pet, obtains the symptom information corresponding to the pet, and finally determines the target doctor among the at least one doctor to be selected according to the symptom information. In the embodiment of the application, the doctor suitable for the pet is determined through the pet nose print, and then the doctor most suitable for treating the pet is determined according to the symptom information of the pet, so that the recommendation accuracy of the doctor is improved.

Description

Doctor recommendation method and device, electronic equipment and storage medium
Technical Field
The application relates to the technical field of medical treatment, in particular to a doctor recommendation method and device, electronic equipment and a storage medium.
Background
Due to environmental factors and resistance factors of pets, when the pets are ill, doctors with time are randomly allocated to a system platform of a hospital after the owners bring the pets into the hospital, and then the owners bring the pets to find corresponding doctors for treatment.
However, the pet also has suitable doctors and unsuitable doctors, for example, the pet has strong fear to some doctors, which can lead the pet not to cooperate with treatment. Or the disease suffered by the pet, a specific doctor has rich treatment experience, and if the pet is randomly recommended to other doctors, the treatment effect of the pet is possibly poor.
Disclosure of Invention
The embodiment of the application provides a doctor recommendation method and device, electronic equipment and a storage medium. The doctor recommendation method can recommend a doctor most suitable for treating the pet to the pet, and accuracy of recommendation of the doctor is improved.
In a first aspect, an embodiment of the present application provides a doctor recommendation method, including:
acquiring the nasal print information of the pet;
determining at least one doctor to be selected corresponding to the pet according to the nasal print information;
acquiring symptom information corresponding to the pet;
and determining a target doctor from at least one doctor to be selected according to the symptom information.
In a second aspect, an embodiment of the present application provides a doctor recommending apparatus, including:
the first acquisition module is used for acquiring the nasal print information of the pet;
the first determining module is used for determining at least one doctor to be selected corresponding to the pet according to the nose print information;
the second acquisition module is used for acquiring symptom information corresponding to the pet;
and the second determination module is used for determining a target doctor in at least one doctor to be selected according to the symptom information.
In a third aspect, an electronic device is provided in an embodiment of the present application, including a memory storing executable program code, a processor coupled to the memory; the processor calls the executable program codes stored in the memory to execute the steps in the doctor recommendation method provided by the embodiment of the application.
In a fourth aspect, an embodiment of the present application provides a storage medium, where the storage medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor to perform steps in a doctor recommendation method provided in an embodiment of the present application.
In the embodiment of the application, the electronic equipment determines at least one doctor to be selected corresponding to the pet according to the nasal print information by acquiring the nasal print information of the pet, acquires the symptom information corresponding to the pet, and determines the target doctor among the at least one doctor to be selected according to the symptom information. In the embodiment of the application, the doctor suitable for the pet is determined through the pet nose print, and then the doctor most suitable for treating the pet is determined according to the symptom information of the pet, so that the recommendation accuracy of the doctor is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a first flowchart of a doctor recommendation method according to an embodiment of the present application.
Fig. 2 is a scene schematic diagram of acquiring nasal print information according to an embodiment of the present application.
Fig. 3 is a second flowchart of a doctor recommendation method according to an embodiment of the present application.
Fig. 4 is a schematic structural diagram of a doctor recommending device provided in an embodiment of the present application.
Fig. 5 is a schematic structural diagram of an electronic device provided in an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Due to environmental factors and resistance factors of pets, when the pets are ill, doctors with time are randomly allocated to a system platform of a hospital after the owners bring the pets into the hospital, and then the owners bring the pets to find corresponding doctors for treatment.
However, the pet also has suitable doctors and unsuitable doctors, for example, the pet has strong fear to some doctors, which can lead the pet not to cooperate with treatment. Or the disease suffered by the pet, a specific doctor has rich treatment experience, and if the pet is randomly recommended to other doctors, the treatment effect of the pet is possibly poor.
In order to solve the technical problem, embodiments of the present application provide a doctor recommendation method, an apparatus, an electronic device, and a storage medium. The doctor recommending method can recommend a doctor most suitable for treating the pet to the pet, and the recommending accuracy of the doctor is improved.
The doctor recommendation method can be applied to common electronic equipment such as computers, mobile phones and tablet computers, and is also suitable for wearable electronic equipment such as intelligent glasses, intelligent watches and intelligent rings. And are not intended to be limiting herein.
Referring to fig. 1, fig. 1 is a first flowchart of a doctor recommendation method according to an embodiment of the present application. The doctor recommendation method can comprise the following steps:
110. and acquiring the nasal print information of the pet.
Referring to fig. 2, fig. 2 is a schematic view of a scene for acquiring nose print information according to an embodiment of the present disclosure.
The electronic device S10 is provided with a sensor S11, and the sensor S11 can scan the nose of the pet to obtain the nasal print information of the pet. The sensor S11 may be a laser sensor, an ultrasonic sensor, an image sensor, etc., and the electronic device may scan the nose of the pet within a certain distance, thereby obtaining the nasal print information of the pet.
Specifically, when the electronic device scans through laser, the nose of the pet can be scanned through a tof (time of fly) sensor, after the laser irradiates the nose, because the depths of the nasal veins corresponding to different nasal veins are different, the time of the laser irradiating different nasal veins is also different, so that the time of different laser signals reflecting to the laser sensor is also different, a phase difference can be generated between the emitted laser signals and the corresponding reflected laser signals, and the electronic device constructs a three-dimensional nasal vein image, namely a 3D nasal vein image, corresponding to the nasal veins of the pet according to the phase difference.
The electronic equipment can also transmit the nasal veins of the pet scanned by the ultrasonic waves to the nose of the pet, because the depth of the nasal veins corresponding to different nasal veins is different, the time for the ultrasonic waves to propagate to different nasal veins is also different, so that the time for different ultrasonic signals to reflect to the ultrasonic sensor is also different, a phase difference can be generated between the transmitted ultrasonic signals and the corresponding reflected ultrasonic signals, and the electronic equipment can construct a three-dimensional space nasal vein image corresponding to the nasal veins of the pet according to the phase difference.
The electronic device can determine the number of the nasal wrinkles and the depth of the nasal wrinkles according to the three-dimensional space nasal pattern. For example, peaks and valleys exist in the three-dimensional nose pattern map, and the peaks and the valleys are distributed in a staggered manner to form the nose pattern, wherein the number of the nose patterns can be determined according to the number of the valleys, namely the number of the valleys can be the number of the nose patterns. And the depth from the wave crest to the wave trough is the depth corresponding to the nose line.
The electronic equipment can also shoot images of the nose of the pet through the camera, then optimize the images of the nose to obtain a plurality of optimized images, then obtain the nasal print image of the pet according to the plurality of optimized images, and then identify the nasal print image so as to determine the number of the nasal prints of the pet and the distribution situation of the nasal prints.
For example, the electronic device may acquire images of noses of multiple pets at the same shooting position, perform grayscale processing on the images of noses of the multiple pets to obtain multiple grayscale images, and perform processing methods such as brightness adjustment, contrast adjustment, and sharpening adjustment on the grayscale images to obtain multiple optimized images. And the electronic equipment performs image fusion processing on the plurality of optimized images to obtain the nose pattern image.
The electronic equipment can identify and process the nasal print image so as to determine the number of the nasal prints corresponding to the final pet nasal print and the distribution condition of the nasal prints.
For example, since the peaks and valleys corresponding to the nose pattern are different in the nose pattern image, the pixel information corresponding to the peaks and valleys of the nose pattern on the nose pattern image is different. For example, the gray values of the peaks and the valleys on the nose pattern image are different, and the gray value corresponding to the peak region pixel is lower than the gray value corresponding to the valley region pixel on the nose pattern image. The electronic device can identify the gray value corresponding to the pixel to determine the peak and the trough, and finally the electronic device can determine the number of the nose wrinkles according to the number of the troughs. The distribution condition of the nose lines can be determined according to the distribution conditions of the wave crests and the wave troughs.
After the electronic equipment acquires the nose image of the pet, the nose image of the pet can be input into the neural network model for image segmentation, for example, the image segmentation models such as a U-Net model and an Encoder-Decoder model can be adopted to segment the image of the nose of the pet, namely, the image corresponding to the peak and the image corresponding to the trough on the nose are segmented, so that the image corresponding to the peak and/or the image corresponding to the trough in the nasal print are obtained, and finally, the number of the nasal prints and the distribution condition of the nasal prints are determined according to the image corresponding to the peak and/or the image corresponding to the trough.
It should be noted that the nasal veins on the pet nose are formed by staggering peaks and troughs, and after the image corresponding to the peak or the image corresponding to the trough is obtained, the number of the nasal veins can be determined according to the number of the peaks or the number of the troughs.
In some embodiments, after the electronic device obtains the number of the pet nasal veins, the depth of the nasal veins and the distribution of the nasal veins, the electronic device may generate the corresponding nasal vein information of the pet according to the information.
Specifically, the electronic device may determine at least one target area on the nose of the pet, and obtain the nasal print information corresponding to the at least one target area.
The nasal print features are more pronounced in some areas of the pet's nose, such as in the middle of the pet's nose. While the area on the nose, such as the edge of a pet's nose, has no obvious nasal print features. At least one target area can be determined in the middle of the nose of the pet, and then the nose print information corresponding to the target area is obtained.
The electronic device may also determine a nostril region and a nose edge region, remove the nostril region and the nose edge region, determine a remaining region of the nose as a region where a nose ridge may be acquired, and then determine at least one target region on the region where the nose ridge may be acquired.
In some embodiments, the electronic device may obtain the number of nasal wrinkles and/or the depth of the nasal wrinkles corresponding to at least one target area, and then determine the nasal wrinkle information of the pet according to the number of nasal wrinkles and/or the depth of the nasal wrinkles.
For example, the electronic device may determine a distribution of the nasal print depth of each nasal print, obtain a nasal print depth distribution map, and then determine the nasal print information of the pet according to the nasal print depth distribution map. As can be seen from the above description, the depth of each nasal print in the target region may be obtained by laser scanning, ultrasonic scanning, or the like, and then a nasal print depth distribution map is constructed according to the depth of each nasal print.
In some embodiments, the electronic device may further determine a plurality of target peak points and a plurality of target valley points within a target region of a three-dimensional nose pattern (nose pattern depth profile), where the target peak points are peak points having a height higher than a first preset height, and the target valleys are valley points having a height lower than a second preset height. And then determining the vector distance between each target peak point and the nearest target valley point, and generating the nose pattern information corresponding to the pet according to the vector distance between each target peak point and the nearest target valley point.
In some embodiments, the electronic device may further determine a plurality of target sub-regions in the target region, determine the number of nasal prints corresponding to each target sub-region, and then determine the nasal print information of the pet according to the number of nasal prints corresponding to each target sub-region.
For example, after the electronic device determines the target area on the nose of the pet, the electronic device may divide the target area into a plurality of target sub-areas and then determine the number of nose prints in each target sub-area. And the electronic equipment generates the nasal print information of the pet according to the number of the nasal prints corresponding to each target sub-area.
When the target area is divided, the target area may be divided according to a preset division rule, for example, the shape of the pet nose is determined first, and then the shape corresponding to each target sub-area is determined according to the shape of the pet nose. Then, the number of the divided target sub-regions is determined according to the area covered by the target region, for example, the larger the area of the target region is, the larger the number of the divided target sub-regions is, and the smaller the area of the target region is, the smaller the number of the divided target sub-regions is.
In some embodiments, after the electronic device determines at least one target area on the nasal print of the pet, the electronic device may obtain the number of the nasal prints of the target area and the corresponding depth of each of the nasal prints, and then generate the nasal print information of the pet according to the number of the nasal prints and the corresponding depth of each of the nasal prints.
It should be noted that the above description is only an example of the acquisition of the pet nose print information, and other ways of determining the pet nose print information may be adopted in the way of actually acquiring the pet nose print information. Wherein, the nasal print information of the pet can reflect the identity of the pet.
120. And determining at least one doctor to be selected corresponding to the pet according to the nasal print information.
In some embodiments, the electronic device may perform matching according to the nose print information and a preset doctor database to obtain a matching value corresponding to each doctor in the preset doctor database; and determining a target matching value which is larger than a preset matching threshold value in the matching values, and determining the doctor corresponding to the target matching value as the doctor to be selected.
For example, the preset doctor database includes information of all doctors in the pet hospital, such as the names of the doctors, the disease areas that can be treated, evaluation information corresponding to the doctors, information of the pets treated by the doctors, and the like.
The electronic equipment can determine the identity information of the pet according to the nasal print information of the pet, and then match doctors in a preset doctor database according to the identity information of the pet, for example, the identity information of the pet is matched with the pet information treated by the doctors, so that a matching value corresponding to the pet and each doctor is obtained. Specifically, the electronic device can also directly match the pet nasal print information with the pet nasal print information treated by the doctor, so as to obtain a matching value corresponding to the pet and each doctor.
In some embodiments, a preset matching threshold may be set according to the actual matching accuracy. For example, if the performance of the electronic device is low, the matching accuracy is also low, and a low matching threshold may be set. For example, if the performance of the electronic device is high, the corresponding matching accuracy is also high, and a high matching threshold may be set.
In some embodiments, after the pet is matched with the preset doctor database by using the nasal print information of the pet, a target matching value can be determined as the matching value whose matching value is higher than the preset matching threshold, and a doctor corresponding to the target matching value can be determined as a doctor to be selected.
If no doctor treats the pet in the preset doctor database, the variety information of the pet can be obtained, then a first candidate doctor for treating the pet of the variety is screened out from the preset database according to the variety information, and then matching is carried out according to the nasal print information of the pet and the nasal print information of the treated pet in the first candidate doctor, so that a matching value is obtained.
And then, determining a target matching value which is larger than a preset matching threshold value in the matching values, and determining the doctor corresponding to the target matching value as the doctor to be selected.
In some embodiments, the electronic device may further input the nasal print information into the first model, and obtain at least one candidate doctor corresponding to the pet.
Specifically, the first model may input a corresponding feature vector according to the nasal print information, and then the first model may perform matching according to the feature vector and the nasal print information of the pet treated by each doctor in the preset doctor database, for example, the electronic device performs matching through the feature vector and the nasal print information feature vector of the pet treated by each doctor, thereby determining a cosine similarity between the feature vector and the nasal print information feature vector of the pet treated by each doctor.
And if the cosine similarity is greater than the preset cosine similarity, determining that the doctor corresponding to the cosine similarity is the doctor to be selected.
In some embodiments, the first model is trained using a first base model, and the first base model is trained by obtaining a training data set until the first base model converges, thereby obtaining the first model.
The training data set can be the nose print information of the target pet, and the nose print information of the target pet is input into the first basic model for training, so that the first model is obtained.
130. And acquiring symptom information corresponding to the pet.
In some implementations, the electronic device can receive input symptom information for the pet. For example, the user can input the information into the electronic device by means of voice input and text input, and the electronic device records and stores the symptom information of the pet.
For example, the pet symptom information includes symptom information such as diarrhea, vomiting, fever, and the like. The electronic equipment can perform keyword recognition on voice or characters input by the user so as to acquire symptom information corresponding to the pet. For example, the user inputs "the pet has spit in the morning and has pulled the pet's belly ten hours in the morning" through voice, and at this time, the electronic device may recognize the keywords "spit" and "pull the pet's belly" according to a built-in voice recognition algorithm, so as to record the symptom information of the pet.
140. And determining a target doctor from at least one doctor to be selected according to the symptom information.
In some embodiments, the electronic device may determine a disease that the pet may suffer from based on the obtained symptom information. For example, the pet can be determined to have intestinal diseases, parasitic infection diseases and the like according to the belly pulling symptom of the pet, the pet can be determined to have stomach diseases according to the vomit symptom of the pet, and the pet can be determined to have cold according to the fever symptom of the pet.
The electronic equipment can determine the possible illness state possibly suffered by the pet according to the symptom information of the pet, and then the electronic equipment determines the treatable state which can be treated by each doctor to be selected and the treatable state which is good at treatment by each doctor to be selected.
In some embodiments, the electronic device may determine the candidate physician who may treat the most possible illness that the pet may suffer from first, and then determine the candidate physician as the target physician.
If there are a plurality of doctors to be selected who can treat the most possible illness of the pet, the electronic device may determine the doctor with the highest evaluation score as the target doctor among the plurality of doctors to be selected, for example, the doctor to be selected who can treat the most possible illness of the pet has doctor a to be selected and doctor B to be selected, and if the evaluation score of doctor a to be selected is 9 and the evaluation score of doctor B to be selected is 8, doctor a to be selected is selected as the target doctor.
After the target doctor is determined, the electronic device can generate department information of the target doctor and generate a guide map to guide the user to go to the department to find the doctor to treat the pet.
In the embodiment of the application, the electronic equipment determines at least one doctor to be selected corresponding to the pet according to the nasal print information by acquiring the nasal print information of the pet, acquires the symptom information corresponding to the pet, and determines the target doctor among the at least one doctor to be selected according to the symptom information. In the embodiment of the application, the doctor suitable for the pet is determined through the pet nose print, and then the doctor most suitable for treating the pet is determined according to the symptom information of the pet, so that the recommendation accuracy of the doctor is improved.
For a more detailed understanding of the doctor recommendation method provided in the embodiment of the present application, please refer to fig. 3, and fig. 3 is a second flowchart of the doctor recommendation method provided in the embodiment of the present application. The doctor recommendation method can comprise the following steps:
201. at least one target area is identified on the nose of the pet.
The electronic equipment can determine at least one target area on the nose of the pet and acquire the nose print information corresponding to the at least one target area.
The nasal print features are more pronounced in some areas of the pet's nose, such as in the middle of the pet's nose. While the area on the nose, such as the edge of a pet's nose, has no obvious nasal print features. At least one target area can be determined in the middle of the nose of the pet, and then the nose print information corresponding to the target area is obtained.
202. And acquiring the number and/or the depth of the nasal veins corresponding to at least one target area.
When the electronic equipment scans through the laser, the nose of the pet can be scanned through the tof (time of fly) sensor, due to the fact that nose lines with different depths exist on the nose, after the laser irradiates the nose, different laser signals are reflected to the laser sensor in different time, phase difference can be generated between the emitted laser signals and the reflected laser signals, and therefore the electronic equipment constructs a three-dimensional space nose line image corresponding to the nose lines of the pet according to the phase difference, namely a 3D nose line image.
The electronic equipment can also emit the nose of the pet through ultrasonic waves by the aid of the nasal veins of the pet scanned by the ultrasonic waves, and then the ultrasonic sensor receives the reflected ultrasonic waves, so that the nasal veins with different depths exist on the nose, and a three-dimensional space nasal vein image of the pet is generated according to the reflected ultrasonic waves.
The electronic device can determine the number of the nasal wrinkles and the depth of the nasal wrinkles according to the three-dimensional space nasal pattern. For example, in the three-dimensional nose pattern map, there are nose patterns formed between peaks and valleys, wherein the number of nose patterns may be determined according to the number of valleys, i.e., the number of valleys may be the number of nose patterns. And the depth from the wave crest to the wave trough is the depth corresponding to the nose line.
The electronic equipment can also shoot images of the nose of the pet through the camera, then optimize the images of the nose to obtain a plurality of optimized images, then obtain the nasal print image of the pet according to the plurality of optimized images, and then identify the nasal print image so as to determine the number of the nasal prints of the pet and the distribution situation of the nasal prints.
For example, the electronic device may acquire images of noses of multiple pets at the same shooting position, perform optimization processing on the multiple images, for example, perform gray scale processing on the optimized images to obtain multiple gray scale images, and then perform processing modes such as brightness adjustment, contrast adjustment, and sharpening adjustment on the gray scale images to obtain multiple optimized images. And the electronic equipment performs image fusion processing on the plurality of optimized images so as to obtain a final nose pattern image.
And the electronic equipment identifies the final nasal print image so as to determine the number of the nasal prints corresponding to the final pet nasal print and the distribution condition of the nasal prints.
After the electronic equipment acquires the nose image of the pet, the nose image of the pet can be input into the neural network model for image segmentation, for example, the image segmentation models such as a U-Net model and an Encoder-Decoder model can be adopted to segment the image of the nose of the pet, namely, the image corresponding to the peak and the image corresponding to the trough on the nose are segmented, so that the image corresponding to the peak and/or the image corresponding to the trough in the nasal print are obtained, and finally, the number of the nasal prints and the distribution condition of the nasal prints are determined according to the image corresponding to the peak and/or the image corresponding to the trough.
It should be noted that the nasal veins on the pet nose are formed by staggering peaks and troughs, and after the image corresponding to the peak or the image corresponding to the trough is obtained, the number of the nasal veins can be determined according to the number of the peaks or the number of the troughs.
The number of the nasal veins and/or the depth of the nasal veins corresponding to the target area can be obtained through the method.
In some embodiments, the electronic device may further determine a plurality of target sub-regions in the target region, determine the number of nasal prints corresponding to each target sub-region, and then determine the nasal print information of the pet according to the number of nasal prints corresponding to each target sub-region.
For example, after the electronic device determines the target area on the nose of the pet, the electronic device may divide the target area into a plurality of target sub-areas and then determine the number of nose prints in each target sub-area. And the electronic equipment generates the nasal print information of the pet according to the number of the nasal prints corresponding to each target sub-area.
When the target area is divided, the target area may be divided according to a preset division rule, for example, the shape of the pet nose is determined first, and then the shape corresponding to each target sub-area is determined according to the shape of the pet nose. Then, the number of the divided target sub-regions is determined according to the area covered by the target region, for example, the larger the area of the target region is, the larger the number of the divided target sub-regions is, and the smaller the area of the target region is, the smaller the number of the divided target sub-regions is.
203. And determining the nasal print information of the pet according to the number of the nasal prints and/or the depth of the nasal prints.
In some embodiments, the electronic device may determine the nasal print information of the pet according to only the number of the nasal prints corresponding to the target area.
The electronic equipment can also determine the nasal print information of the pet according to the corresponding nasal print depth of the target area.
The electronic equipment can also determine the nasal print information of the pet according to the nasal print depth and the nasal print number corresponding to the target area.
In some embodiments, if there are multiple target areas on the pet's nose, the nasal print depth and the number of nasal prints corresponding to each target area may be combined into a set of nasal print information, and then the final pet's corresponding nasal print information may be determined from the multiple sets of nasal print information.
204. And matching according to the nose print information and a preset doctor database to obtain a matching value corresponding to each doctor in the preset doctor database.
The electronic equipment can be matched with a preset doctor database according to the nose print information to obtain a matching value corresponding to each doctor in the preset doctor database.
For example, the preset doctor database includes information of all doctors in the pet hospital, such as the names of the doctors, the disease areas that can be treated, evaluation information corresponding to the doctors, information of the pets treated by the doctors, and the like.
The electronic equipment can determine the identity information of the pet according to the nasal print information of the pet, and then match doctors in a preset doctor database according to the identity information of the pet, for example, the identity information of the pet is matched with the pet information treated by the doctors, so that a matching value corresponding to the pet and each doctor is obtained. Specifically, the electronic device can also directly match the pet nasal print information with the pet nasal print information treated by the doctor, so as to obtain a matching value corresponding to the pet and each doctor.
205. And determining a target matching value which is larger than a preset matching threshold value in the matching values, and determining the doctor corresponding to the target matching value as the doctor to be selected.
In some embodiments, a preset matching threshold may be set according to the actual matching accuracy. For example, if the performance of the electronic device is low, the matching accuracy is also low, and a low matching threshold may be set. For example, if the performance of the electronic device is high, the corresponding matching accuracy is also high, and a high matching threshold may be set.
In some embodiments, after the pet is matched with the preset doctor database by using the nasal print information of the pet, a target matching value can be determined as the matching value whose matching value is higher than the preset matching threshold, and a doctor corresponding to the target matching value can be determined as a doctor to be selected.
206. And acquiring symptom information corresponding to the pet.
In some implementations, the electronic device can receive input symptom information for the pet. For example, the user can input the information into the electronic device by means of voice input and text input, and the electronic device records and stores the symptom information of the pet.
For example, the pet symptom information includes symptom information such as diarrhea, vomiting, fever, and the like. The electronic equipment can perform keyword recognition on voice or characters input by the user so as to acquire symptom information corresponding to the pet. For example, the user inputs "the pet has spit in the morning and has pulled the pet's belly ten hours in the morning" through voice, and at this time, the electronic device may recognize the keywords "spit" and "pull the pet's belly" according to a built-in voice recognition algorithm, so as to record the symptom information of the pet.
207. And determining the corresponding disease which can be suffered according to the symptom information.
For example, the electronic device may determine a disease that the pet may suffer from based on the obtained symptom information. For example, the pet can be determined to have intestinal diseases, parasitic infection diseases and the like according to the belly pulling symptom of the pet, the pet can be determined to have stomach diseases according to the vomit symptom of the pet, and the pet can be determined to have cold according to the fever symptom of the pet.
208. Determining at least one corresponding treatable disease of the candidate doctor.
For example, the electronic device may obtain the treatable disease corresponding to each candidate doctor according to the preset doctor database, for example, candidate doctor a may treat stomach illness and parasitic disease. The candidate doctor B can be used for treating fever and plague.
209. And determining a target doctor in at least one doctor to be selected according to the sick diseases and the treatable diseases.
In some embodiments, the electronic device may determine the candidate physician who may treat the most possible illness that the pet may suffer from first, and then determine the candidate physician as the target physician.
If there are a plurality of doctors to be selected who can treat the most possible illness of the pet, the electronic device may determine the doctor with the highest evaluation score as the target doctor among the plurality of doctors to be selected, for example, the doctor to be selected who can treat the most possible illness of the pet has doctor a to be selected and doctor B to be selected, and if the evaluation score of doctor a to be selected is 9 and the evaluation score of doctor B to be selected is 8, doctor a to be selected is selected as the target doctor.
After the target doctor is determined, the electronic device can generate department information of the target doctor and generate a guide map to guide the user to go to the department to find the doctor to treat the pet.
In the embodiment of the application, the electronic equipment determines at least one target area on the nose of the pet, obtains the number and/or the depth of the nasal veins corresponding to the at least one target area, and determines the information of the nasal veins of the pet according to the number and/or the depth of the nasal veins. And then matching according to the nose print information and a preset doctor database to obtain a matching value corresponding to each doctor in the preset doctor database, determining a target matching value larger than a preset matching threshold value in the matching values, and determining the doctor corresponding to the target matching value as a doctor to be selected. And finally, determining a target doctor in at least one doctor to be selected according to the sickable disease and the treatable disease.
The doctor suitable for the pet is determined through the pet nose print, and then the doctor most suitable for treating the pet is determined according to the symptom information of the pet, so that the recommendation accuracy of the doctor is improved.
Correspondingly, the embodiment of the application further provides a doctor recommending device, as shown in fig. 4, fig. 4 is a schematic structural diagram of the doctor recommending device provided by the embodiment of the application. The doctor recommending apparatus includes:
the first obtaining module 310 is configured to obtain nasal print information of a pet.
The first obtaining module 310 is further configured to determine at least one target area on the nose of the pet; and acquiring the corresponding nose print information of at least one target area.
The first obtaining module 310 is further configured to obtain a number of nasal wrinkles and/or a depth of the nasal wrinkles corresponding to at least one target region; and determining the nasal print information of the pet according to the number of the nasal prints and/or the depth of the nasal prints.
The first determining module 320 is configured to determine at least one doctor to be selected corresponding to the pet according to the nose print information.
The first determining module 320 is further configured to perform matching according to the nose print information and a preset doctor database to obtain a matching value corresponding to each doctor in the preset doctor database; and determining a target matching value which is larger than a preset matching threshold value in the matching values, and determining the doctor corresponding to the target matching value as the doctor to be selected.
The first determining module 320 is further configured to input the nasal print information into the first model, so as to obtain at least one candidate doctor corresponding to the pet.
The first determining module 320 is further configured to, before determining at least one doctor to be selected corresponding to the pet according to the nasal print information, obtain a training data set, where the training data set includes nasal print information of a plurality of target pets; and training a first basic model corresponding to the first model according to the training data set to obtain the first model.
And a second obtaining module 330, configured to obtain symptom information corresponding to the pet.
And the second determining module 340 is configured to determine a target doctor among the at least one doctor to be selected according to the symptom information.
The second determining module 340 is further configured to determine a corresponding affliction condition according to the symptom information; determining at least one treatable disease corresponding to the doctor to be selected; and determining a target doctor in at least one doctor to be selected according to the sick diseases and the treatable diseases.
In the embodiment of the application, the electronic equipment determines at least one doctor to be selected corresponding to the pet according to the nasal print information by acquiring the nasal print information of the pet, acquires the symptom information corresponding to the pet, and determines the target doctor among the at least one doctor to be selected according to the symptom information. In the embodiment of the application, the doctor suitable for the pet is determined through the pet nose print, and then the doctor most suitable for treating the pet is determined according to the symptom information of the pet, so that the recommendation accuracy of the doctor is improved.
Accordingly, an electronic device may include, as shown in fig. 5, a memory 401 having one or more computer-readable storage media, an input unit 402, a display unit 403, a sensor 404, a processor 405 having one or more processing cores, and a power supply 406. Those skilled in the art will appreciate that the electronic device configuration shown in fig. 5 does not constitute a limitation of the electronic device and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components. Wherein:
the memory 401 may be used to store software programs and modules, and the processor 405 executes various functional applications and data processing by operating the software programs and modules stored in the memory 401. The memory 401 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the electronic device, and the like. Further, the memory 401 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device. Accordingly, the memory 401 may further include a memory controller to provide the processor 405 and the input unit 402 with access to the memory 401.
The input unit 402 may be used to receive input numeric or character information and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control. In particular, in one particular embodiment, input unit 402 may include a touch-sensitive surface as well as other input devices. The touch-sensitive surface, also referred to as a touch display screen or a touch pad, may collect touch operations by a user (e.g., operations by a user on or near the touch-sensitive surface using a finger, a stylus, or any other suitable object or attachment) thereon or nearby, and drive the corresponding connection device according to a predetermined program. Alternatively, the touch sensitive surface may comprise two parts, a touch detection means and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 405, and can receive and execute commands sent by the processor 405. In addition, touch sensitive surfaces may be implemented using various types of resistive, capacitive, infrared, and surface acoustic waves. The input unit 402 may include other input devices in addition to a touch-sensitive surface. In particular, other input devices may include, but are not limited to, one or more of a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like.
The display unit 403 may be used to display information input by or provided to a user and various graphical user interfaces of the electronic device, which may be made up of graphics, text, icons, video, and any combination thereof. The Display unit 403 may include a Display panel, and optionally, the Display panel may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like. Further, the touch-sensitive surface may overlay the display panel, and when a touch operation is detected on or near the touch-sensitive surface, the touch operation is transmitted to the processor 405 to determine the type of touch event, and then the processor 405 provides a corresponding visual output on the display panel according to the type of touch event. Although in FIG. 5 the touch-sensitive surface and the display panel are two separate components to implement input and output functions, in some embodiments the touch-sensitive surface may be integrated with the display panel to implement input and output functions.
The electronic device may also include at least one sensor 404, such as a light sensor, motion sensor, and other sensors. In particular, the light sensor may include an ambient light sensor that may adjust the brightness of the display panel according to the brightness of ambient light, and a proximity sensor that may turn off the display panel and/or the backlight when the electronic device is moved to the ear. As one of the motion sensors, the gravity acceleration sensor can detect the magnitude of acceleration in each direction (generally, three axes), detect the magnitude and direction of gravity when the motion sensor is stationary, and can be used for applications (such as horizontal and vertical screen switching, related games, magnetometer attitude calibration) for recognizing the attitude of an electronic device, vibration recognition related functions (such as pedometer and tapping), and the like; as for other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which may be further configured to the electronic device, detailed descriptions thereof are omitted.
The processor 405 is a control center of the electronic device, connects various parts of the whole electronic device by using various interfaces and lines, performs various functions of the electronic device and processes data by operating or executing software programs and/or modules stored in the memory 401 and calling data stored in the memory 401, thereby performing overall monitoring of the electronic device. Optionally, processor 405 may include one or more processing cores; preferably, the processor 405 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 405.
The electronic device also includes a power source 406 (e.g., a battery) for powering the various components, which may preferably be logically coupled to the processor 405 via a power management system to manage charging, discharging, and power consumption management functions via the power management system. The power supply 406 may also include any component of one or more dc or ac power sources, recharging systems, power failure detection circuitry, power converters or inverters, power status indicators, and the like.
Although not shown, the electronic device may further include a camera, a bluetooth module, and the like, which are not described in detail herein. Specifically, in this embodiment, the processor 405 in the electronic device loads the computer program stored in the memory 401, and the processor 405 loads the computer program, thereby implementing various functions:
acquiring the nasal print information of the pet;
determining at least one doctor to be selected corresponding to the pet according to the nasal print information;
acquiring symptom information corresponding to the pet;
and determining a target doctor from at least one doctor to be selected according to the symptom information.
It will be understood by those skilled in the art that all or part of the steps of the methods of the above embodiments may be performed by instructions or by associated hardware controlled by the instructions, which may be stored in a computer readable storage medium and loaded and executed by a processor.
To this end, embodiments of the present application provide a computer-readable storage medium having stored therein a plurality of instructions, which can be loaded by a processor to perform the steps of any of the doctor recommendation methods provided by embodiments of the present application. For example, the instructions may perform the steps of:
acquiring the nasal print information of the pet;
determining at least one doctor to be selected corresponding to the pet according to the nasal print information;
acquiring symptom information corresponding to the pet;
and determining a target doctor from at least one doctor to be selected according to the symptom information.
The above operations can be implemented in the foregoing embodiments, and are not described in detail herein.
Wherein the storage medium may include: read Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disks, and the like.
Because the instructions stored in the storage medium can execute the steps in any one of the doctor recommendation methods provided in the embodiments of the present application, the beneficial effects that can be achieved by any one of the doctor recommendation methods provided in the embodiments of the present application can be achieved, which are detailed in the foregoing embodiments and will not be described herein again.
The doctor recommendation method, the doctor recommendation device, the electronic device and the storage medium provided by the embodiments of the present application are described in detail above, and specific examples are applied in the present application to explain the principles and the embodiments of the present application, and the description of the above embodiments is only used to help understanding the method and the core ideas of the present application; meanwhile, for those skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims (10)

1. A method for physician recommendation, comprising:
acquiring the nasal print information of the pet;
determining at least one doctor to be selected corresponding to the pet according to the nasal print information;
acquiring symptom information corresponding to the pet;
and determining a target doctor in the at least one doctor to be selected according to the symptom information.
2. The doctor recommendation method according to claim 1, wherein the obtaining of the nasal print information of the pet comprises:
determining at least one target area on the nose of the pet;
and acquiring the corresponding nose print information of the at least one target area.
3. The doctor recommendation method according to claim 2, wherein the obtaining of the corresponding nose print information of the at least one target area comprises:
acquiring the number and/or depth of the nasal veins corresponding to the at least one target area;
and determining the nasal print information of the pet according to the nasal print number and/or the nasal print depth.
4. The doctor recommendation method according to claim 1, wherein the determining at least one candidate doctor corresponding to the pet according to the nose print information comprises:
matching according to the nose line information and a preset doctor database to obtain a matching value corresponding to each doctor in the preset doctor database;
and determining a target matching value which is larger than a preset matching threshold value in the matching values, and determining the doctor corresponding to the target matching value as the doctor to be selected.
5. The doctor recommendation method according to claim 1, wherein the determining at least one candidate doctor corresponding to the pet according to the nose print information comprises:
and inputting the nasal print information into a first model to obtain at least one doctor to be selected corresponding to the pet.
6. The doctor recommendation method according to claim 5, wherein before determining at least one candidate doctor corresponding to the pet according to the nose print information, the method further comprises:
acquiring a training data set, wherein the training data set comprises nose print information of a plurality of target pets;
and training a first basic model corresponding to the first model according to the training data set to obtain the first model.
7. The doctor recommendation method according to claim 1, wherein the determining a target doctor among the at least one candidate doctor according to the symptom information comprises:
determining a corresponding sickable disease according to the symptom information;
determining a corresponding treatable disease of the at least one candidate doctor;
and determining a target doctor in the at least one doctor to be selected according to the sick disease and the treatable disease.
8. A physician recommendation device, comprising:
the first acquisition module is used for acquiring the nasal print information of the pet;
the first determining module is used for determining at least one doctor to be selected corresponding to the pet according to the nose print information;
the second acquisition module is used for acquiring symptom information corresponding to the pet;
and the second determination module is used for determining a target doctor in the at least one doctor to be selected according to the symptom information.
9. An electronic device, comprising:
a memory storing executable program code, a processor coupled with the memory;
the processor calls the executable program code stored in the memory to execute the steps of the doctor recommendation method as claimed in any one of claims 1 to 7.
10. A storage medium storing a plurality of instructions adapted to be loaded by a processor to perform the steps of the method of any one of claims 1 to 7.
CN202111629592.XA 2021-12-28 2021-12-28 Doctor recommendation method and device, electronic equipment and storage medium Pending CN114242224A (en)

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