CN114580915B - Intelligent evaluation method and system for hair planting effect of novel microneedle technology - Google Patents
Intelligent evaluation method and system for hair planting effect of novel microneedle technology Download PDFInfo
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Abstract
The invention discloses an intelligent evaluation method and system for hair planting effect of a novel microneedle technology, wherein the method comprises the following steps: obtaining first microneedle planting data of a first user according to a first microneedle device; obtaining a first monitoring element set by carrying out attribute analysis on the first microneedle planting data; obtaining second microneedle planting data according to the first monitoring element set; obtaining an associated user set of the first user; based on the subjective index matrix, respectively obtaining first and second plant-hair feedback information of the first user and the associated user set; and inputting the second microneedle planting data, the first planting feedback information and the second planting feedback information into a two-dimensional effect evaluation model to obtain a planting comprehensive evaluation result. The method solves the technical problems that the hair planting effect based on the novel microneedle technology cannot be evaluated intelligently, the comprehensiveness is low, and the accurate hair planting decision requirement is difficult to provide for users in the prior art.
Description
Technical Field
The invention relates to the field of intelligent evaluation, in particular to an intelligent evaluation method and system for hair planting effect of a novel microneedle technology.
Background
The novel microneedle hair planting technology adopts a professional novel microneedle to plant to users, and can improve the hair planting accuracy according to the continuous upgrading of the technology in hospitals and the continuous perfection of instruments, so that the hair planting effect is improved, and the number of hair planting people is increased continuously. The new microneedle hair-planting process comprises four basic processes of hair taking, separating, distributing and transplanting, and at present, the new microneedle hair-planting process can flexibly adopt a hair-planting technology to improve the hair-planting effect aiming at the specific hair loss condition of a user.
However, the prior art has the technical problems that the hair planting effect based on the new microneedle technology cannot be evaluated intelligently, the comprehensiveness is low, and the accurate hair planting decision requirement is difficult to provide for users.
Disclosure of Invention
Aiming at the defects in the prior art, the purpose of the application is to solve the technical problems that the planting effect based on the new microneedle technology cannot be intelligently evaluated, the comprehensiveness is low, and the accurate planting decision requirement is difficult to provide for users in the prior art by providing the intelligent evaluation method and the intelligent evaluation system for the planting effect of the new microneedle technology, and the technical effects that the objectivity and the accuracy of the planting effect evaluation are improved by combining the objectivity of the new microneedle technology and the initiative of multiple users are achieved, so that the planting decision requirement support is provided for the users are further achieved.
In one aspect, the present application provides an intelligent evaluation method for a hair planting effect of a new microneedle technology, where the method is applied to an intelligent evaluation system for a hair planting effect of a new microneedle technology, and the system is communicatively connected with a first microneedle device, and the method includes: obtaining first microneedle planting data of a first user according to the first microneedle device, wherein the first microneedle planting data are preset hair planting design data; obtaining a first monitoring element set by carrying out attribute analysis on the first microneedle planting data, wherein the first monitoring element set is a monitoring parameter type set in the microneedle planting process; building a two-dimensional effect evaluation model; obtaining second microneedle planting data according to the first monitoring element set, wherein the second microneedle planting data are hair planting operation data monitored in real time; obtaining an associated user set of the first user; based on the subjective index matrix, respectively obtaining first and second plant-hair feedback information of the first user and the associated user set; and inputting the second microneedle planting data, the first planting feedback information and the second planting feedback information into the two-dimensional effect evaluation model to obtain a first output result, wherein the first output result is a planting comprehensive evaluation result.
On the other hand, the application also provides an intelligent evaluation system for the hair planting effect of the novel microneedle technology, wherein the system comprises: the first acquisition unit is used for acquiring first microneedle planting data of a first user according to a first microneedle device, wherein the first microneedle planting data are preset planting design data; the second obtaining unit is used for obtaining a first monitoring element set through carrying out attribute analysis on the first microneedle planting data, wherein the first monitoring element set is a monitoring parameter type set in the microneedle planting process; the first building unit is used for building a two-dimensional effect evaluation model; the third obtaining unit is used for obtaining second micro-needle planting data according to the first monitoring element set, wherein the second micro-needle planting data are planting operation data monitored in real time; a fourth obtaining unit, configured to obtain an associated user set of the first user; the first feedback unit is used for respectively obtaining first plant sending feedback information and second plant sending feedback information of the first user and the associated user set based on the subjective index matrix; the first output unit is used for inputting the second microneedle planting data, the first planting feedback information and the second planting feedback information into the two-dimensional effect evaluation model to obtain a first output result, wherein the first output result is a planting comprehensive evaluation result.
In a third aspect, the present application provides an intelligent evaluation system for hair-planting effects of a new microneedle technology, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method according to any one of the first aspects when executing the program.
In a fourth aspect, the present application provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method of any of the first aspects described above.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
1. and analyzing the first user preset hair planting design data according to the first micro-needle device to obtain first micro-needle planting data, further analyzing the parameter types in the first micro-needle planting data to obtain a first monitoring element set, and acquiring corresponding data according to the monitoring element types in the first monitoring element set to obtain second micro-needle planting data. Further, index evaluation feedback is performed on the first user through the subjective index matrix, first plant sending feedback information of the first user is obtained, index evaluation feedback of the associated user is performed on a plurality of doctor users associated with the first user, and second plant sending feedback information is obtained. And inputting the obtained second microneedle planting data, the first planting feedback information and the second planting feedback information into a two-dimensional effect evaluation model, and outputting a final planting comprehensive evaluation result according to the built two-dimensional effect evaluation model. The intelligent combination of objectivity and initiative of multiple users of the novel microneedle technology is achieved, pertinence and accuracy of hair planting effect evaluation are improved, and further the technical effect of hair planting decision requirement support is provided for users.
The foregoing description is only an overview of the technical solutions of the present application, and may be implemented according to the content of the specification in order to make the technical means of the present application more clearly understood, and in order to make the above-mentioned and other objects, features and advantages of the present application more clearly understood, the following detailed description of the present application will be given.
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Other features, objects and advantages of the present invention will become more apparent upon reading of the detailed description of non-limiting embodiments, made with reference to the accompanying drawings in which:
fig. 1 is a flow chart of an intelligent evaluation method for hair planting effect of a new microneedle technology according to an embodiment of the present application;
fig. 2 is a schematic flow chart of outputting second hair-planting feedback information according to an intelligent evaluation method of hair-planting effect of the new microneedle technology in the embodiment of the present application;
FIG. 3 is a schematic flow chart of abnormality evaluation correction of an intelligent evaluation method for hair planting effect of a new microneedle technology according to an embodiment of the present application;
fig. 4 is a schematic flow chart of a first subjective evaluation result obtained by an intelligent evaluation method of a new microneedle technology hair planting effect according to an embodiment of the present application;
fig. 5 is a schematic flow chart of generating first auxiliary evaluation data according to an intelligent evaluation method of a new microneedle technology hair planting effect in an embodiment of the present application;
FIG. 6 is a schematic structural diagram of an intelligent evaluation system for hair-planting effect of the novel microneedle technology according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Detailed Description
According to the intelligent evaluation method and the intelligent evaluation system for the hair planting effect of the novel microneedle technology, the technical problems that in the prior art, the hair planting effect based on the novel microneedle technology cannot be evaluated intelligently, the comprehensiveness is low, and the accurate hair planting decision requirement is difficult to provide for users are solved, the objective performance of the novel microneedle technology and the initiative of multiple users are combined intelligently, the pertinence and the accuracy of the hair planting effect evaluation are improved, and further the technical effect of hair planting decision requirement support is provided for the users.
Hereinafter, example embodiments according to the present application will be described in detail with reference to the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application and not all of the embodiments of the present application, and it should be understood that the present application is not limited by the example embodiments described herein.
The data acquisition, storage, use, processing and the like in the technical scheme meet the relevant regulations of national laws and regulations.
Along with the increase of the number of the hair planting people, the hair planting technology is rapidly developed, the traditional hair planting technology is difficult to meet the hair planting quality requirement of a user at the current stage, so that the new microneedle technology can be used as a hair planting new technology to perform hair planting operation with higher accuracy according to the characteristics of the user, but the hair planting effect evaluation method and system aiming at the new microneedle technology are not perfect enough and cannot evaluate the hair planting process accurately and fully, and therefore, the intelligent and accurate evaluation of the hair planting process of the new microneedle technology can be realized by providing an intelligent evaluation method of the hair planting effect of the new microneedle technology.
Aiming at the technical problems, the technical scheme provided by the application has the following overall thought:
the application provides an intelligent evaluation method and system for the hair planting effect of a novel microneedle technology, which solve the technical problems that the hair planting effect based on the novel microneedle technology cannot be evaluated intelligently, the comprehensiveness is low, and the accurate hair planting decision requirement is difficult to provide for users in the prior art. Analyzing the first user preset hair planting design data according to the first micro-needle device to obtain first micro-needle planting data, further analyzing parameter types in the first micro-needle planting data to obtain a first monitoring element set, and performing corresponding data acquisition according to the monitoring element types in the first monitoring element set to obtain second micro-needle planting data. Further, index evaluation feedback is performed on the first user through the subjective index matrix, first plant sending feedback information of the first user is obtained, index evaluation feedback of the associated user is performed on a plurality of doctor users associated with the first user, and second plant sending feedback information is obtained. And inputting the obtained second microneedle planting data, the first planting feedback information and the second planting feedback information into a two-dimensional effect evaluation model, and outputting a final planting comprehensive evaluation result according to the built two-dimensional effect evaluation model.
In order to better understand the above technical solutions, the following detailed description will refer to the accompanying drawings and specific embodiments.
Example 1
As shown in fig. 1, an embodiment of the present application provides an intelligent evaluation method for a new microneedle technology hair planting effect, where the method is applied to an intelligent evaluation system for a new microneedle technology hair planting effect, and the system is communicatively connected with a first microneedle device, and the method includes:
step S100: obtaining first microneedle planting data of a first user according to the first microneedle device, wherein the first microneedle planting data are preset hair planting design data;
specifically, the new microneedle technology is used as a new hair implantation technology, and the hair implantation operation with higher precision can be performed according to the characteristics of a user, but the hair implantation effect evaluation method and system aiming at the new microneedle technology are not perfect enough and cannot evaluate the hair implantation process accurately and fully, so that the intelligent and accurate evaluation of the hair implantation process of the new microneedle technology can be realized by providing an intelligent evaluation method of the hair implantation effect of the new microneedle technology. The first microneedle device is an instrument set for carrying out microneedle hair implantation operation on the first user and comprises a hollow needle head, an operation needle, a pushing device, a needle head connector, a needle tube body and the like; the first microneedle planting data are hair planting data designed based on the hair loss characteristics of the first user, and comprise a hair planting area, hair planting density, planting direction and the like; by obtaining the microneedle planting data of the first user for planting hair, basic data can be provided for the first microneedle device for planting the microneedles, and therefore accurate monitoring of the microneedle planting effect is achieved.
Step S200: obtaining a first monitoring element set by carrying out attribute analysis on the first microneedle planting data, wherein the first monitoring element set is a monitoring parameter type set in the microneedle planting process;
specifically, since the first microneedle planting data comprises a plurality of preset planting data and the planting operations for different items comprise different data acquisition categories, firstly, the attribute of the first microneedle planting data is analyzed, and then the first monitoring element set, such as a plurality of monitoring parameter type sets including density, position, speed, direction and the like, is determined according to the difference of the data attribute categories, so that a corresponding data extraction mode can be adopted according to the different attribute categories, the data source for objectively evaluating the microneedle planting operations is further obtained, and the evaluation accuracy and the comprehensiveness are improved.
Step S300: building a two-dimensional effect evaluation model;
specifically, the two-dimensional effect evaluation model comprises two basic evaluation models, including an objective evaluation model for performing hair-planting operation on the first microneedle device and an evaluation model of a multi-user subjective evaluation set, so that the real-time hair-planting process can be accurately evaluated by combining the completion degree of a new microneedle technology and the completion degree of subjective evaluation of a user.
Further, the two-dimensional effect evaluation model is built, wherein the two basic evaluation models included in the two-dimensional effect evaluation model have data interaction units, so that data transmission can be performed. Firstly, constructing an objective effect evaluation model according to the types of monitoring elements in a first monitoring element set, further performing model transfer learning based on a mathematical model basic framework of the objective effect evaluation model to obtain model data for constructing a subjective effect evaluation model, and then performing input and model update according to evaluation indexes of multiple users to construct the subjective effect evaluation model.
Step S400: obtaining second microneedle planting data according to the first monitoring element set, wherein the second microneedle planting data are hair planting operation data monitored in real time;
specifically, the first monitoring element set is a monitoring element set obtained by performing attribute analysis according to the hair-planting data preset by a user, so that real-time data acquisition is performed according to all elements in the first monitoring element set, for example, when hair-planting operation of the first microneedle device is monitored, for example, after a data base is obtained through a certain data acquisition device, corresponding data is extracted according to different monitoring elements, so that second microneedle planting data is obtained, further evaluation on the operation completion degree of the first microneedle device is realized based on the second microneedle planting data, and objective evaluation data sources are provided for performing effect evaluation.
Step S500: obtaining an associated user set of the first user;
step S600: based on the subjective index matrix, respectively obtaining first and second plant-hair feedback information of the first user and the associated user set;
specifically, the associated user set is a hair-planting associated doctor user of the first user, and when the first user performs hair-planting, the first user comprises a plurality of associated doctor users such as a planting design doctor, a nursing doctor, an operating doctor and the like, so that the associated user set is obtained.
Furthermore, the subjective index matrix is formed by constructing a matrix of evaluation indexes for evaluating doctors and evaluating users, so that corresponding indexes are extracted from position units of the subjective index matrix based on reference dimensions of user hair planting effect evaluation, and corresponding hair planting feedback information is output. Further, because the connection relationship between the first user and the index feedback is in one-to-many distribution, the connection relationship between the associated user set and the index feedback is in many-to-many distribution, so that the feedback information corresponding to the first user and the associated user set is obtained based on the subjective index matrix, a plurality of index evaluation feedback output by the first user is output as the first plant transmission feedback information, the index evaluation feedback of each user in the associated user set is subjected to grade evaluation and data fitting, and the second plant transmission feedback information is output. And the corresponding feedback information is obtained by carrying out subjective matrix feedback on multiple users, so that the output feedback information is accurate and reliable, and the evaluation accuracy of the hair planting effect is improved.
Step S700: and inputting the second microneedle planting data, the first planting feedback information and the second planting feedback information into the two-dimensional effect evaluation model to obtain a first output result, wherein the first output result is a planting comprehensive evaluation result.
Further, the step S700 of inputting the second microneedle planting data, the first feedback information and the second feedback information into the two-dimensional effect evaluation model to obtain a first output result further includes:
step S710: inputting the second microneedle planting data, the first plant sending feedback information and the second plant sending feedback information into the two-dimensional effect evaluation model, wherein the two-dimensional effect evaluation model comprises an objective effect evaluation model and a subjective effect evaluation model, and the objective effect evaluation model and the subjective effect evaluation model can interact with each other;
step S720: inputting the second microneedle planting data into the objective effect evaluation model to obtain a first objective evaluation result;
step S730: inputting the first plant hair feedback information and the second plant hair feedback information into the subjective effect evaluation model to obtain a first subjective evaluation result;
Step S740: and generating and outputting the comprehensive evaluation result according to the first objective evaluation result and the first subjective evaluation result.
Specifically, the second microneedle planting data, the first planting feedback information and the second planting feedback information are input into the two-dimensional effect evaluation model, the objective effect evaluation model is input based on the second microneedle planting data, and objective evaluation of the microneedle operation completion degree, namely a first objective evaluation result, is output; and inputting the first and second feedback information into the subjective effect evaluation model based on the first and second feedback information, and outputting the evaluation of the subjective consciousness after the microneedle operation is finished, namely a first subjective evaluation result. And obtaining the first output result, namely the comprehensive evaluation result of the hair planting according to the corresponding objective evaluation and subjective evaluation. The subjective effect evaluation model is obtained by performing model transfer learning on the objective effect evaluation model, so that the model training time complexity can be further reduced, the model output efficiency and the accuracy of the model output result are improved, the objective and multi-party user initiative intelligent combination of a novel microneedle technology is achieved, the pertinence and the accuracy of the hair planting effect evaluation are improved, and further the technical effect of hair planting decision requirement support is provided for users.
Further, as shown in fig. 2, step S500 in the embodiment of the present application further includes:
step S510: obtaining a first association level by performing level division on the association user set;
step S520: carrying out cis-bearing relation analysis on the associated users in the same grade according to the first association grade to obtain a first cis-bearing order;
step S530: performing dislocation evaluation on the associated users in the same level according to the first cis-ordering to obtain first dislocation evaluation information;
step S540: and performing level weight processing on the first dislocation evaluation information and then outputting the second plant-transmitted feedback information.
Specifically, the grading of the relevant user sets is to grade all relevant doctors, the grading is achieved according to the tightness of operation contact, for example, a hair planting designer doctor, a hair planting operator doctor, a nursing doctor, a service doctor and the like in the relevant doctors of the first user, all relevant user sets are graded according to the compactness of operation contact of hair planting, the contact degree is from high to low or from low to high, and doctors in the same interval are automatically graded to be the same grade, so that accurate data base sources are provided for outputting the second hair planting feedback information through further analysis after grading the relevant user sets.
Further, according to the classified association levels, the association levels of the number of people in the same level being greater than or equal to 2 are obtained, the associated users in the levels are analyzed for carrying out the hair planting operation/nursing compliance relation, a first compliance sequencing is obtained, the associated users in the same level are subjected to dislocation evaluation according to the first compliance sequencing, for example, the first user, the second user and the third user are used for evaluating the first user, the third user is used for evaluating the second user, the first user is used for evaluating the third user so as to form a closed loop, dislocation evaluation in the levels is output, and the like is used for pushing, all evaluation outputs of all the association levels are obtained, the first dislocation evaluation information is generated, then weight is carried out according to the level of the association levels, for example, the weight coefficient of a lamp with higher association degree is properly increased, and finally the second hair planting feedback information is output. And performing sequential analysis by dividing the associated user grade so as to improve the evaluation feedback accuracy of the second plant feedback information output.
Further, as shown in fig. 3, step S530 in the embodiment of the present application further includes:
step S531: performing dispersion analysis according to the first dislocation evaluation information to obtain a first evaluation dispersion;
Step S532: if the first evaluation dispersion is larger than a preset evaluation dispersion, a first abnormality index is obtained;
step S533: according to the first abnormal index, analog evaluation information of a first analog index in the first monitoring element set is obtained;
step S534: obtaining neighborhood evaluation information according to the positioning of the first abnormal index in the first cis-ordering;
step S535: and obtaining first correction evaluation information according to the analog evaluation information and the neighborhood evaluation information, wherein the first correction evaluation information is used for carrying out abnormal evaluation correction on the first dislocation evaluation information.
Specifically, the first evaluation dispersion is a separation degree system representing all evaluation information, when the first evaluation dispersion is higher, the first dislocation evaluation information comprises abnormal index evaluation, therefore, by judging whether the first evaluation dispersion is larger than a preset evaluation dispersion, if the first evaluation dispersion is larger than the preset evaluation dispersion, the first abnormality index is obtained by identifying the abnormal index, and if the first evaluation dispersion is smaller than the preset evaluation dispersion, the current evaluation quality of the first dislocation evaluation information is higher, and the next processing unit is entered.
Further, if the first abnormal index is obtained, the malicious evaluation appears in the evaluation in the first dislocation evaluation information, which affects the accuracy of the evaluation of the hair planting effect, so that according to the attribute of the first abnormal index, an analog index with higher similarity is obtained from the first monitoring element set, and the objectively output index evaluation is used as the analog evaluation information of the first analog index; and then carrying out user compliance positioning on the first abnormal index, further taking the evaluation median value of the neighborhood users as field evaluation information, correcting the analog evaluation information and the neighborhood evaluation information as the basis of correcting abnormal index evaluation, and outputting the first correction evaluation information, so that the accuracy of outputting the first dislocation evaluation information is improved in a manner of comprehensively correcting based on dispersion evaluation and multiparty data.
Further, as shown in fig. 4, the step S400 of obtaining second microneedle planting data according to the first monitoring element set further includes:
step S410: information entropy calculation is carried out on all monitoring elements in the first monitoring element set, so that an information entropy calculation result is obtained;
Step S420: according to the information entropy calculation result, N monitoring elements with information entropy larger than preset information entropy are obtained;
step S430: and taking the N monitoring elements as preferable monitoring elements to acquire microneedle planting data, and obtaining second microneedle planting data.
Specifically, since all the monitoring elements in the first monitoring element set are obtained after analysis according to the first microneedle planting data of the first user, wherein the first microneedle planting data are designed according to the hair loss characteristics of the user, the planting characteristics of the first microneedle planting data are different for different users, so that information entropy calculation is further performed on all the detection elements in the first monitoring element set to obtain an information entropy calculation result, and data analysis is performed according to the information entropy calculation result, the information entropy calculation is a process of performing entropy value calculation according to the information importance degree of the information entropy calculation result, the importance degree of all the elements can be represented, N monitoring elements larger than preset information entropy are obtained according to the information entropy calculation result, the preset information entropy is an entropy threshold, and the monitoring elements are represented as preferred elements for planting effect evaluation when the preset information entropy is larger than the preset information entropy, so that the N monitoring elements are taken as preferred monitoring elements for microneedle planting data acquisition, the pertinence of the monitoring elements can be improved, and the technical effect of improving the data calculation efficiency while optimizing the calculation data quantity is achieved.
Further, as shown in fig. 5, step S730 in the embodiment of the present application further includes:
step S731: obtaining evaluation distribution information of the first user, wherein the evaluation distribution information comprises an evaluation index and an evaluation score;
step S732: obtaining evaluation distribution information of the associated user set;
step S733: judging whether an index intersection exists according to the evaluation distribution information of the first user and the evaluation distribution information of the associated user set, and if so, obtaining a first mark index set;
step S734: and carrying out weight distribution and standardization processing according to the duty ratio of the first marking index set to obtain the first subjective evaluation result.
Specifically, the evaluation distribution information of the first user and the first user-associated user set is obtained, whether the evaluation index distribution of the first user and the evaluation index distribution of the associated user set have index intersections or not is judged, for example, when index evaluations are performed, corresponding index evaluations are obtained from an index matrix, if the index intersections exist, larger weights are required to be given to the index evaluations of the intersection parts, other evaluation indexes are standardized according to the parts of the index intersections as the basis of the standardization processing, for example, if the ratio of the index intersections in the first user and the associated user set is 30%, weight increment is performed on the overlapped indexes within 30%, and the standardized data reference basis is used as the index standardization processing, and then all indexes are standardized, so that the first subjective evaluation result is output.
Through analyzing the evaluation distribution information of the first user and the associated user set, determining the intersection evaluation indexes of the first user and the associated user set, and then corresponding evaluation scores of the first user and the associated user set realize standardized processing of all evaluation data, such as user intersection index scores 95 and 100; physician intersection index scores 76, 80; the reference standard is not in a horizontal line, so that standardized processing is needed and weight increment is carried out on the evaluation indexes in the intersection part, and the technical effects of accurately processing subjective evaluation data and improving the output accuracy of subjective evaluation results are achieved.
Further, the steps in the embodiment of the present application further include S800:
step S810: constructing a first excitation function according to the first microneedle planting data;
step S820: obtaining a first response result output by the first excitation function according to the similarity of the first excitation function matching history evaluation data, wherein the first response result is a first matching user;
step S830: obtaining an evaluation data set of the first matched user;
step S840: and generating first auxiliary evaluation data according to the evaluation data set of the first matched user, and assisting according to the first auxiliary evaluation data.
Specifically, a first excitation function is constructed according to the first microneedle planting data, the first excitation function obtains evaluation data of a user with corresponding characteristics from system history evaluation data according to planting characteristics and monitoring data sets of a real-time user as excitation characteristics, and a response result of the first excitation function is output, wherein the system history evaluation data is stored in an evaluation database, and calling of the user evaluation data is achieved through a calling instruction. And taking the output evaluation data set of the first matched user as auxiliary data to carry out auxiliary evaluation self-checking on the real-time user evaluation.
Further, when the features of the first matching user and the planting data of the first user are similar, evaluation information of the first matching user is obtained, objective evaluation results are firstly called for comparison, subjective evaluation is called for comparison if the features are in a preset fluctuation range, and if the subjective evaluation data of the first matching user evaluation data set and the subjective evaluation data of the real-time evaluation data of the first user fluctuate greatly, first reminding information is obtained, auxiliary correction is carried out according to the first reminding information, and therefore accurate evaluation results are output.
Compared with the prior art, the invention has the following beneficial effects:
1. and analyzing the first user preset hair planting design data according to the first micro-needle device to obtain first micro-needle planting data, further analyzing the parameter types in the first micro-needle planting data to obtain a first monitoring element set, and acquiring corresponding data according to the monitoring element types in the first monitoring element set to obtain second micro-needle planting data. Further, index evaluation feedback is performed on the first user through the subjective index matrix, first plant sending feedback information of the first user is obtained, index evaluation feedback of the associated user is performed on a plurality of doctor users associated with the first user, and second plant sending feedback information is obtained. And inputting the obtained second microneedle planting data, the first planting feedback information and the second planting feedback information into a two-dimensional effect evaluation model, and outputting a final planting comprehensive evaluation result according to the built two-dimensional effect evaluation model. The intelligent combination of objectivity and initiative of multiple users of the novel microneedle technology is achieved, pertinence and accuracy of hair planting effect evaluation are improved, and further the technical effect of hair planting decision requirement support is provided for users.
2. The evaluation median value of the neighborhood users is used as the domain evaluation information, the analog evaluation information and the neighborhood evaluation information are used as the basis of the evaluation of the correction abnormality indexes to correct, the first correction evaluation information is output, the way of comprehensively correcting based on the dispersion evaluation and the multiparty data is achieved, and the accuracy of the output of the first dislocation evaluation information is improved.
3. And grading all the associated doctors, realizing grading according to the tightness degree of operation connection, and carrying out sequential ordering analysis by grading the associated user grades so as to improve the evaluation feedback accuracy of the second plant feedback information output.
4. And judging whether the evaluation index distribution of the first user and the evaluation index distribution of the related user set have index intersections or not, and determining the corresponding evaluation scores after the intersection evaluation indexes so as to realize standardized processing and weight increment of all evaluation data, thereby achieving the technical effects of accurately processing subjective evaluation data and improving the output accuracy of subjective evaluation results.
Example two
Based on the same inventive concept as the intelligent evaluation method of the hair planting effect of the new microneedle technology in the foregoing embodiment, the present invention further provides an intelligent evaluation system of the hair planting effect of the new microneedle technology, as shown in fig. 6, where the system includes:
A first obtaining unit 11, where the first obtaining unit 11 is configured to obtain first microneedle planting data of a first user according to a first microneedle device, where the first microneedle planting data is preset hair planting design data;
a second obtaining unit 12, where the second obtaining unit 12 is configured to obtain a first monitoring element set by performing attribute analysis on the first microneedle planting data, where the first monitoring element set is a monitoring parameter type set in a microneedle planting process;
the first building unit 13 is used for building a two-dimensional effect evaluation model;
a third obtaining unit 14, where the third obtaining unit 14 is configured to obtain second microneedle planting data according to the first monitoring element set, where the second microneedle planting data is planting operation data monitored in real time;
a fourth obtaining unit 15, where the fourth obtaining unit 15 is configured to obtain an associated user set of the first user;
the first feedback unit 16, where the first feedback unit 16 is configured to obtain first plant-hair feedback information and second plant-hair feedback information of the first user and the associated user set, respectively, based on a subjective index matrix;
The first output unit 17 is configured to input the second microneedle planting data, the first planting feedback information, and the second planting feedback information into the two-dimensional effect evaluation model, and obtain a first output result, where the first output result is a planting comprehensive evaluation result.
Further, the system further comprises:
a fifth obtaining unit, configured to obtain a first association level by classifying the association user set;
the sixth obtaining unit is used for carrying out forward relation analysis on the associated users in the same grade according to the first association grade to obtain a first forward ordering;
a seventh obtaining unit, configured to perform dislocation evaluation on related users in the same level according to the first cis-ordering, to obtain first dislocation evaluation information;
and the second output unit is used for carrying out level weight processing on the first dislocation evaluation information and then outputting the second plant-hair feedback information.
Further, the system further comprises:
an eighth obtaining unit, configured to perform dispersion analysis according to the first misalignment evaluation information, to obtain a first evaluation dispersion;
A ninth obtaining unit, configured to obtain a first abnormality index if the first evaluation dispersion is greater than a preset evaluation dispersion;
a tenth obtaining unit, configured to obtain analog evaluation information of a first analog index in the first monitoring element set according to the first abnormality index;
an eleventh obtaining unit, configured to obtain neighborhood evaluation information according to the positioning of the first abnormality index in the first sequence;
the first correction unit is used for obtaining first correction evaluation information according to the analog evaluation information and the neighborhood evaluation information, wherein the first correction evaluation information is used for carrying out abnormal evaluation correction on the first dislocation evaluation information.
Further, the system further comprises:
the first input unit is used for inputting the second microneedle planting data, the first plant sending feedback information and the second plant sending feedback information into the two-dimensional effect evaluation model, wherein the two-dimensional effect evaluation model comprises an objective effect evaluation model and a subjective effect evaluation model, and the objective effect evaluation model and the subjective effect evaluation model can interact with each other;
The second input unit is used for inputting the second microneedle planting data into the objective effect evaluation model to obtain a first objective evaluation result;
the third input unit is used for inputting the first plant hair feedback information and the second plant hair feedback information into the subjective effect evaluation model to obtain a first subjective evaluation result;
the first generation unit is used for generating and outputting the comprehensive evaluation result according to the first objective evaluation result and the first subjective evaluation result.
Further, the system further comprises:
a twelfth obtaining unit, configured to obtain an information entropy calculation result by performing information entropy calculation on all the monitoring elements in the first monitoring element set;
a thirteenth obtaining unit, configured to obtain N monitoring elements with information entropy greater than a preset information entropy according to the information entropy calculation result;
and the fourteenth obtaining unit is used for collecting microneedle planting data by taking the N monitoring elements as preferable monitoring elements to obtain the second microneedle planting data.
Further, the system further comprises:
a fifteenth obtaining unit configured to obtain evaluation distribution information of the first user, including an evaluation index and an evaluation score;
a sixteenth obtaining unit configured to obtain evaluation distribution information of the associated user set;
the first judging unit is used for judging whether an index intersection exists according to the evaluation distribution information of the first user and the evaluation distribution information of the associated user set, and obtaining a first mark index set if the index intersection exists;
and the first processing unit is used for carrying out weight distribution and standardization processing according to the duty ratio of the first marking index set to obtain the first subjective evaluation result.
Further, the system further comprises:
the second construction unit is used for constructing a first excitation function according to the first microneedle planting data;
a seventeenth obtaining unit, configured to obtain a first response result output by the first excitation function according to the similarity of the first excitation function matching history evaluation data, where the first response result is a first matching user;
An eighteenth obtaining unit for obtaining an evaluation data set of the first matching user;
a first generation unit for generating first auxiliary evaluation data according to the evaluation data set of the first matched user, and performing auxiliary operation according to the first auxiliary evaluation data
The various variations and specific examples of the foregoing intelligent evaluation method for the hair planting effect of the new microneedle technology in the first embodiment of fig. 1 are also applicable to the intelligent evaluation system for the hair planting effect of the new microneedle technology in this embodiment, and by the foregoing detailed description of the foregoing intelligent evaluation method for the hair planting effect of the new microneedle technology, those skilled in the art can clearly know the implementation method of the intelligent evaluation system for the hair planting effect of the new microneedle technology in this embodiment, so that, for brevity of description, it will not be described in detail herein.
Example III
The electronic device of the present application is described below with reference to fig. 7.
Fig. 7 illustrates a schematic structural diagram of an electronic device according to the present application.
Based on the inventive concept of the intelligent evaluation method for the hair planting effect of the new microneedle technology in the foregoing embodiments, the present invention further provides an intelligent evaluation system for the hair planting effect of the new microneedle technology, on which a computer program is stored, which when executed by a processor, implements the steps of any one of the methods of the intelligent evaluation system for the hair planting effect of the new microneedle technology described above.
Where in FIG. 7, a bus architecture (represented by bus 300), bus 300 may comprise any number of interconnected buses and bridges, with bus 300 linking together various circuits, including one or more processors, represented by processor 302, and memory, represented by memory 304. Bus 300 may also link together various other circuits such as peripheral devices, voltage regulators, power management circuits, etc., as are well known in the art and, therefore, will not be described further herein. Bus interface 305 provides an interface between bus 300 and receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e. a transceiver, providing a means for communicating with various other systems over a transmission medium. The processor 302 is responsible for managing the bus 300 and general processing, while the memory 304 may be used to store data used by the processor 302 in performing operations.
The embodiment of the application provides an intelligent evaluation method of a new microneedle technology hair planting effect, the method is applied to an intelligent evaluation system of the new microneedle technology hair planting effect, the system is in communication connection with a first microneedle device, and the method comprises the following steps: obtaining first microneedle planting data of a first user according to the first microneedle device, wherein the first microneedle planting data are preset hair planting design data; obtaining a first monitoring element set by carrying out attribute analysis on the first microneedle planting data, wherein the first monitoring element set is a monitoring parameter type set in the microneedle planting process; building a two-dimensional effect evaluation model; obtaining second microneedle planting data according to the first monitoring element set, wherein the second microneedle planting data are hair planting operation data monitored in real time; obtaining an associated user set of the first user; based on the subjective index matrix, respectively obtaining first and second plant-hair feedback information of the first user and the associated user set; and inputting the second microneedle planting data, the first planting feedback information and the second planting feedback information into the two-dimensional effect evaluation model to obtain a first output result, wherein the first output result is a planting comprehensive evaluation result. The intelligent evaluation method solves the technical problems that the hair planting effect based on the novel microneedle technology cannot be evaluated intelligently, the comprehensiveness is low, and the accurate hair planting decision requirement is difficult to provide for users in the prior art, achieves the aim of improving the pertinency and the accuracy of the hair planting effect evaluation by combining the objectivity of the novel microneedle technology and the initiative of multiple users, and further provides the technical effect of supporting the hair planting decision requirement for the users.
Those of ordinary skill in the art will appreciate that: the various numbers of first, second, etc. referred to in this application are merely for convenience of description and are not intended to limit the scope of embodiments of the present application, nor to indicate a sequence. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one" means one or more. At least two means two or more. "at least one," "any one," or the like, refers to any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one of a, b, or c (species ) may represent: a, b, c, a b, a c, b c, or a b c, wherein a, b, c may be single or plural.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, produces a flow or function in accordance with embodiments of the present application, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable system. The computer finger
Such as may be stored in or transmitted from one computer readable storage medium to another, such as from one website, computer, server, or data center via a wired (e.g., coaxial cable, fiber optic, digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device including one or more servers, data centers, etc. that can be integrated with the available medium. The usable medium may be a magnetic medium (e.g., a floppy Disk, a hard Disk, a magnetic tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a Solid State Disk (SSD)), or the like.
The various illustrative logical blocks and circuits described in the embodiments of the present application may be implemented or performed with a general purpose processor, a digital signal processor, an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic system, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general purpose processor may be a microprocessor, but in the alternative, the general purpose processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing systems, e.g., a digital signal processor and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a digital signal processor core, or any other similar configuration.
Although the present application has been described in connection with specific features and embodiments thereof, it will be apparent that various modifications and combinations can be made without departing from the spirit and scope of the application. Accordingly, the specification and figures are merely exemplary illustrations of the application as defined in the appended claims and are to be construed as covering any and all modifications, variations, combinations, or equivalents that are within the scope of the application. It will be apparent to those skilled in the art that various modifications and variations can be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the present application and the equivalents thereof, the present application is intended to cover such modifications and variations.
Claims (9)
1. An intelligent evaluation method for the hair planting effect of a new microneedle technology is characterized in that the method is applied to an intelligent evaluation system for the hair planting effect of the new microneedle technology, and the system is in communication connection with a first microneedle device, and the method comprises the following steps:
obtaining first microneedle planting data of a first user according to the first microneedle device, wherein the first microneedle planting data are preset hair planting design data;
obtaining a first monitoring element set by carrying out attribute analysis on the first microneedle planting data, wherein the first monitoring element set is a monitoring parameter type set in the microneedle planting process;
Building a two-dimensional effect evaluation model, wherein the two-dimensional effect evaluation model comprises an objective effect evaluation model and a subjective effect evaluation model, firstly building the objective effect evaluation model according to the types of monitoring elements in a first monitoring element set, further performing model transfer learning based on a mathematical model basic framework of the objective effect evaluation model to obtain model data for building the subjective effect evaluation model, and then performing input and model update according to evaluation indexes of multiple users so as to build the subjective effect evaluation model, wherein the objective effect evaluation model and the subjective effect evaluation model data can be interacted;
obtaining second microneedle planting data according to the first monitoring element set, wherein the second microneedle planting data are hair planting operation data monitored in real time;
obtaining an associated user set of the first user;
based on the subjective index matrix, obtaining first plant-hair feedback information of the first user and second plant-hair feedback information of the associated user set;
inputting the second microneedle planting data, the first planting feedback information and the second planting feedback information into the two-dimensional effect evaluation model to obtain a first output result, wherein the first output result is a planting comprehensive evaluation result and comprises the following steps: inputting the second microneedle planting data into the objective effect evaluation model to obtain a first objective evaluation result; inputting the first plant hair feedback information and the second plant hair feedback information into the subjective effect evaluation model to obtain a first subjective evaluation result; and generating and outputting the comprehensive evaluation result according to the first objective evaluation result and the first subjective evaluation result.
2. The method of claim 1, wherein after the obtaining the set of associated users for the first user, the method further comprises:
obtaining a first association level by performing level division on the association user set;
carrying out cis-bearing relation analysis on the associated users in the same grade according to the first association grade to obtain a first cis-bearing order;
performing dislocation evaluation on the associated users in the same level according to the first cis-ordering to obtain first dislocation evaluation information;
and performing level weight processing on the first dislocation evaluation information and then outputting the second plant-transmitted feedback information.
3. The method of claim 2, wherein the method further comprises:
performing dispersion analysis according to the first dislocation evaluation information to obtain a first evaluation dispersion;
if the first evaluation dispersion is larger than a preset evaluation dispersion, a first abnormality index is obtained;
according to the first abnormal index, analog evaluation information of a first analog index in the first monitoring element set is obtained;
obtaining neighborhood evaluation information according to the positioning of the first abnormal index in the first cis-ordering;
And obtaining first correction evaluation information according to the analog evaluation information and the neighborhood evaluation information, wherein the first correction evaluation information is used for carrying out abnormal evaluation correction on the first dislocation evaluation information.
4. The method of claim 1, wherein said obtaining second microneedle planting data from said first set of monitored elements comprises:
information entropy calculation is carried out on all monitoring elements in the first monitoring element set, so that an information entropy calculation result is obtained;
according to the information entropy calculation result, N monitoring elements with information entropy larger than preset information entropy are obtained;
and taking the N monitoring elements as preferable monitoring elements to acquire microneedle planting data, and obtaining second microneedle planting data.
5. The method of claim 1, wherein the method further comprises:
obtaining evaluation distribution information of the first user, wherein the evaluation distribution information comprises an evaluation index and an evaluation score;
obtaining evaluation distribution information of the associated user set;
judging whether an index intersection exists according to the evaluation distribution information of the first user and the evaluation distribution information of the related user set, and if so, obtaining a first mark index set;
And carrying out weight distribution and standardization processing according to the duty ratio of the first marking index set to obtain the first subjective evaluation result.
6. The method of claim 1, wherein the method further comprises:
constructing a first excitation function according to the first microneedle planting data;
obtaining a first response result output by the first excitation function according to the similarity of the first excitation function matching history evaluation data, wherein the first response result is a first matching user;
obtaining an evaluation data set of the first matched user;
generating first auxiliary evaluation data according to the evaluation data set of the first matched user, and performing auxiliary evaluation self-checking on real-time user evaluation according to the first auxiliary evaluation data.
7. An intelligent evaluation system for hair planting effect of novel microneedle technology, which is characterized by comprising:
the first acquisition unit is used for acquiring first microneedle planting data of a first user according to a first microneedle device, wherein the first microneedle planting data are preset planting design data;
the second obtaining unit is used for obtaining a first monitoring element set through carrying out attribute analysis on the first microneedle planting data, wherein the first monitoring element set is a monitoring parameter type set in the microneedle planting process;
The system comprises a first construction unit, a second construction unit and a third construction unit, wherein the first construction unit is used for constructing a two-dimensional effect evaluation model, the two-dimensional effect evaluation model comprises an objective effect evaluation model and a subjective effect evaluation model, the objective effect evaluation model is constructed according to the types of monitoring elements in a first monitoring element set, model migration learning is further carried out based on a mathematical model basic frame of the objective effect evaluation model, model data for constructing the subjective effect evaluation model are obtained, input and model update are carried out according to evaluation indexes of multiple users, and therefore the subjective effect evaluation model is constructed, and the objective effect evaluation model and the subjective effect evaluation model data can be interacted;
the third obtaining unit is used for obtaining second micro-needle planting data according to the first monitoring element set, wherein the second micro-needle planting data are planting operation data monitored in real time;
a fourth obtaining unit, configured to obtain an associated user set of the first user;
the first feedback unit is used for obtaining first plant sending feedback information of the first user and second plant sending feedback information of the associated user set based on the subjective index matrix;
The first output unit is used for inputting the second microneedle planting data, the first planting feedback information and the second planting feedback information into the two-dimensional effect evaluation model to obtain a first output result, wherein the first output result is a planting comprehensive evaluation result and comprises: inputting the second microneedle planting data into the objective effect evaluation model to obtain a first objective evaluation result; inputting the first plant hair feedback information and the second plant hair feedback information into the subjective effect evaluation model to obtain a first subjective evaluation result; and generating and outputting the comprehensive evaluation result according to the first objective evaluation result and the first subjective evaluation result.
8. An intelligent evaluation electronic device for hair-planting effect of new microneedle technology, comprising a bus, a transceiver, a memory, a processor and a computer program stored on the memory and executable on the processor, the transceiver, the memory and the processor being connected by the bus, characterized in that the computer program when executed by the processor implements the steps of the method according to any one of claims 1-6.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, carries out the steps of the method according to any one of claims 1-6.
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