CN114580915A - 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 new 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 performing attribute analysis on the first microneedle planting data; obtaining second microneedle planting data according to the first monitoring element set; obtaining a set of associated users of the first user; respectively obtaining first hair planting feedback information and second hair planting feedback information of the first user and the associated user set based on a subjective index matrix; and inputting the second microneedle planting data, the first hair planting feedback information and the second hair planting feedback information into a two-dimensional effect evaluation model to obtain a hair planting comprehensive evaluation result. The technical problems that the hair transplantation effect based on a new microneedle technology cannot be intelligently evaluated, the comprehensiveness is low, and accurate hair transplantation decision requirements are difficult to provide for users in the prior art are solved.
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 new microneedle technology.
Background
The novel microneedle hair-planting technology adopts professional novel microneedles to plant users, and can improve the hair-planting precision according to continuous upgrading of the technology in hospitals and continuous perfection of instruments, so that the hair-planting effect is improved, and the number of hair-planting people is continuously increased. The process of the new microneedle hair transplantation comprises four basic processes of hair taking, separation, distribution and transplantation, and at present, the new microneedle hair transplantation can flexibly adopt a hair transplantation technology to improve the hair transplantation effect according to the specific hair loss condition of a user.
However, the technical problems that the hair transplantation effect based on the new microneedle technology cannot be intelligently evaluated, the comprehensiveness is low, and the accurate hair transplantation decision requirement is difficult to provide for a user exist in the prior art.
Disclosure of Invention
Aiming at the defects in the prior art, the method and the system for intelligently evaluating the hair planting effect of the new microneedle technology solve the technical problems that the hair planting effect based on the new microneedle technology cannot be intelligently evaluated, the comprehensiveness is low, and accurate hair planting decision requirements are difficult to provide for users in the prior art, and achieve the technical effect of improving the pertinence and the accuracy of hair planting effect evaluation by combining the objectivity of the new microneedle technology and the initiative of a plurality of users and further providing support for the hair planting decision requirements for the users.
In one aspect, the present application provides an intelligent evaluation method for hair-transplant effect of a new microneedle technology, the method is applied to an intelligent evaluation system for hair-transplant effect of a new microneedle technology, the system is in communication connection 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 performing attribute analysis on the first microneedle planting data, wherein the first monitoring element set is a monitoring parameter type set in the microneedle hair transplanting 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 a set of associated users of the first user; respectively obtaining first hair planting feedback information and second hair planting feedback information of the first user and the associated user set based on a subjective index matrix; inputting the second microneedle planting data, the first hair planting feedback information and the second hair planting feedback information into the two-dimensional effect evaluation model to obtain a first output result, wherein the first output result is a hair planting comprehensive evaluation result.
On the other hand, this application still provides the intelligent evaluation system of new micropin technique hair-planting effect, the system includes: the hair planting device comprises a first obtaining unit, a second obtaining unit and a control unit, wherein the first obtaining unit is used for obtaining first microneedle planting data of a first user according to a first microneedle device, and the first microneedle planting data are preset hair planting design data; a second obtaining unit, 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 hair transplantation process; the first building unit is used for building a two-dimensional effect evaluation model; a third obtaining unit, configured to obtain second microneedle planting data according to the first monitoring element set, where the second microneedle planting data is hair-planting operation data monitored in real time; a fourth obtaining unit, configured to obtain an associated user set of the first user; a first feedback unit, configured to obtain first hair planting feedback information and second hair planting feedback information of the first user and the associated user set, respectively, based on a subjective index matrix; the first output unit is used for inputting the second microneedle planting data, the first hair planting feedback information and the second hair planting feedback information into the two-dimensional effect evaluation model to obtain a first output result, wherein the first output result is a hair planting comprehensive evaluation result.
In a third aspect, the present application provides an intelligent evaluation system for hair-setting effect of new microneedle technology, comprising a memory, a processor and a computer program stored in the memory and operable on the processor, wherein the processor implements the steps of the method according to any one of the first aspect when executing the program.
In a fourth aspect, the present application provides a computer-readable storage medium, wherein the storage medium has 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. the method comprises the steps of analyzing preset hair planting design data of a first user according to a first microneedle device to obtain first microneedle planting data, further analyzing parameter types in the first microneedle planting data to obtain a first monitoring element set, and carrying out corresponding data acquisition according to the monitoring element types in the first monitoring element set to obtain second microneedle planting data. Further, index evaluation feedback is carried out on a first user through a subjective index matrix, first hair planting feedback information of the first user is obtained, index evaluation feedback of a plurality of doctor users related to the first user is carried out on a plurality of related users, and second hair planting feedback information is obtained. And inputting the obtained second microneedle planting data, the first hair planting feedback information and the second hair planting feedback information into a two-dimensional effect evaluation model, and outputting a final hair planting comprehensive evaluation result according to the established two-dimensional effect evaluation model. The goal of improving the pertinence and the accuracy of the hair planting effect evaluation by combining the objectivity of a new microneedle technology and the initiative of a multi-party user is combined intelligently, and the technical effect of providing the hair planting decision requirement support for the user is achieved.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
fig. 1 is a schematic flow chart of an intelligent evaluation method for hair transplantation effect of a new microneedle technology according to an embodiment of the present application;
fig. 2 is a schematic flow chart illustrating the second hair transplantation feedback information output by the intelligent evaluation method for hair transplantation effect of the new microneedle technology according to the embodiment of the present application;
fig. 3 is a schematic flow chart of abnormal evaluation and correction of an intelligent evaluation method for hair transplantation effect of a new microneedle technology according to an embodiment of the present application;
fig. 4 is a schematic flow chart illustrating a first subjective evaluation result obtained by the intelligent evaluation method for hair transplantation effect of the new microneedle technology according to the embodiment of the present application;
fig. 5 is a schematic flow chart illustrating the generation of first auxiliary evaluation data according to the intelligent evaluation method for hair transplantation effect of the new microneedle technology in the embodiment of the present application;
fig. 6 is a schematic structural diagram of an intelligent evaluation system for hair transplantation effect of a new 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
The embodiment of the application provides the intelligent evaluation method and system for the hair planting effect of the new microneedle technology, solves the technical problems that the hair planting effect based on the new microneedle technology cannot be intelligently evaluated, the comprehensiveness is low, and the accurate hair planting decision requirement is difficult to provide for a user in the prior art, and achieves the technical effect that the hair planting effect evaluation pertinence and accuracy are improved by combining the objectivity of the new microneedle technology and the initiative of a plurality of users, and then the support of the hair planting decision requirement is provided for the user.
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 merely some embodiments of the present application and not all embodiments of the present application, and it should be understood that the present application is not limited to the example embodiments described herein.
According to the technical scheme, the data acquisition, storage, use, processing and the like meet relevant regulations of national laws and regulations.
With the increase of the number of hair transplant people, the hair transplant technology is rapidly developed, and the traditional hair transplant technology is difficult to meet the hair transplant quality requirement of a user at the current stage, so that the new microneedle technology can be used as the new hair transplant technology to carry out hair transplant operation with higher precision according to the characteristics of the user, but the hair transplant effect evaluation method and system aiming at the new microneedle technology are not perfect, and the hair transplant process cannot be evaluated accurately and comprehensively, so that the intelligent evaluation method for the hair transplant effect of the new microneedle technology can realize the intelligent and accurate evaluation of the hair transplant process of the new microneedle technology.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
the application provides an intelligent evaluation method and system for hair-planting effect of a new microneedle technology, and solves the technical problems that hair-planting effect based on the new microneedle technology cannot be intelligently evaluated, comprehensiveness is low, and accurate hair-planting decision requirements are difficult to provide for users in the prior art. Analyzing the preset hair planting design data of a first user according to a first microneedle device to obtain first microneedle planting data, further analyzing the parameter types in the first microneedle 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 microneedle planting data. Further, index evaluation feedback is carried out on a first user through a subjective index matrix, first hair planting feedback information of the first user is obtained, index evaluation feedback of a plurality of doctor users related to the first user is carried out on a plurality of related users, and second hair planting feedback information is obtained. And inputting the obtained second microneedle planting data, the first hair planting feedback information and the second hair planting feedback information into a two-dimensional effect evaluation model, and outputting a final hair planting comprehensive evaluation result according to the built two-dimensional effect evaluation model.
For better understanding of the above technical solutions, the following detailed descriptions will be provided in conjunction with the drawings and the detailed description of the embodiments.
Example one
As shown in fig. 1, an embodiment of the present application provides an intelligent evaluation method for hair-transplant effect of a new microneedle technology, where the method is applied to an intelligent evaluation system for hair-transplant effect of a new microneedle technology, the system is communicatively connected to 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 as a new hair transplantation technology can perform hair transplantation operation with higher accuracy according to the characteristics of a user, but the hair transplantation effect evaluation method and system for the new microneedle technology are not perfect and cannot evaluate the hair transplantation process accurately and comprehensively, so that the intelligent evaluation method for the hair transplantation effect of the new microneedle technology can realize intelligent and accurate evaluation of the hair transplantation process of the new microneedle technology. The first microneedle device is an instrument set for carrying out microneedle hair transplantation operation on the first user, and comprises a hollow needle head, a surgical needle, a pushing device, a needle head connector, a needle tube body and the like; the first micro-needle planting data is hair transplantation data designed based on the alopecia characteristics of the first user, and comprises a hair transplantation area, hair transplantation density, a planting direction and the like; through obtaining the microneedle planting data of the first user for hair planting, basic data can be provided for the first microneedle device for microneedle planting, and therefore the microneedle planting effect can be accurately monitored.
Step S200: obtaining a first monitoring element set by performing attribute analysis on the first microneedle planting data, wherein the first monitoring element set is a monitoring parameter type set in the microneedle hair planting process;
specifically, the first microneedle planting data comprises a plurality of preset hair planting data, and the hair planting operation for different items comprises different data acquisition types, so that the attributes of the first microneedle planting data are analyzed, and then the first monitoring element set, such as a plurality of monitoring parameter type sets of density, position, speed, direction and the like, is determined according to different data attribute types, so that a corresponding data extraction mode can be adopted according to different attribute types, a data source for objectively evaluating the microneedle hair planting operation is further obtained, and the evaluation accuracy and comprehensiveness are improved.
Step S300: building a two-dimensional effect evaluation model;
specifically, the two-dimensional effect evaluation model includes two basic evaluation models, including an objectivity evaluation model for executing hair-planting operation on the first microneedle device and an evaluation model of a subjective evaluation set of multiple users, 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 the subjective evaluation of the users.
Further, the two-dimensional effect evaluation model is built, wherein two basic evaluation models included in the two-dimensional effect evaluation model have a data interaction unit, so that data transmission can be carried out. The method comprises the steps of firstly building an objective effect evaluation model according to the types of monitoring elements in a first monitoring element set, then carrying out model migration learning based on a mathematical model base frame of the objective effect evaluation model to obtain model data for building a subjective effect evaluation model, and then carrying out input and model updating according to evaluation indexes of multiple users to build 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 obtained by performing attribute analysis on hair-planting data preset by a user, so that real-time data acquisition is performed on all elements in the first monitoring element set, for example, when hair-planting operation of the first microneedle device is monitored, for example, after data obtained by a certain data acquisition device is based on, corresponding data is extracted according to different monitoring elements, so that second microneedle planting data is obtained, evaluation on the operation completion degree of the first microneedle device is realized on the basis of the second microneedle planting data, and an objective evaluation data source is provided for effect evaluation.
Step S500: obtaining a set of associated users of the first user;
step S600: respectively obtaining first hair planting feedback information and second hair planting feedback information of the first user and the associated user set based on a subjective index matrix;
specifically, the associated user set is a hair planting associated doctor user of the first user, and the first user includes a plurality of associated doctor users such as a hair planting designer, a nursing doctor, and an operating doctor when performing hair planting, and further obtains the associated user set.
Furthermore, the subjective index matrix is used for performing matrix construction on evaluation indexes of doctor evaluation and user evaluation, so that corresponding indexes are extracted from a position unit of the subjective index matrix based on a reference dimension of user hair planting effect evaluation, and corresponding hair planting feedback information is output. Furthermore, because the connection relationship between the first user and the index feedback is distributed in a one-to-many manner, and the connection relationship between the associated user set and the index feedback is distributed in a many-to-many manner, based on a subjective index matrix, feedback information corresponding to the first user and the associated user set is obtained, a plurality of index evaluation feedbacks output by the first user are output as the first hair planting feedback information, the index evaluation feedbacks of each user in the associated user set are subjected to grade evaluation and data fitting, and the second hair planting feedback information is output. And then 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: inputting the second microneedle planting data, the first hair planting feedback information and the second hair planting feedback information into the two-dimensional effect evaluation model to obtain a first output result, wherein the first output result is a hair planting comprehensive evaluation result.
Further, the step S700 of inputting the second microneedle planting data, the first hair transplantation feedback information, and the second hair transplantation feedback information into the two-dimensional effect evaluation model to obtain a first output result, in this embodiment of the present invention, further includes:
step S710: inputting the second microneedle planting data, the first hair planting feedback information and the second hair planting 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 hair planting feedback information and the second hair planting feedback information into the subjective effect evaluation model to obtain a first subjective evaluation result;
step S740: and generating the comprehensive evaluation result according to the first objective evaluation result and the first subjective evaluation result and outputting the comprehensive evaluation result.
Specifically, the second microneedle planting data, the first hair planting feedback information and the second hair 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 microneedle operation completion degree, namely a first objective evaluation result, is output; inputting the first hair planting feedback information and the second hair planting feedback information into the subjective effect evaluation model, and outputting the hair planting effect evaluation of the subjective consciousness after the micro-needle operation is finished, namely a first subjective evaluation result. And obtaining the first output result, namely the hair planting comprehensive evaluation result 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 complexity of model training time can be further reduced, the model output efficiency and the accuracy of a model output result are improved, the aim of improving the pertinence and the accuracy of hair planting effect evaluation by combining the objectivity of a new microneedle technology and the intelligent combination of the initiative of a plurality of users is achieved, and the technical effect of providing the support of hair planting decision requirements for the users is further achieved.
Further, as shown in fig. 2, step S500 in the embodiment of the present application further includes:
step S510: obtaining a first association grade by carrying out grade division on the association user set;
step S520: according to the first association level, carrying out order-bearing relation analysis on the associated users in the same level to obtain a first order-bearing sequence;
step S530: carrying out dislocation evaluation on the associated users in the same grade according to the first order sequence to obtain first dislocation evaluation information;
step S540: and after the first dislocation evaluation information is subjected to level weight processing, outputting the second hair planting feedback information.
Specifically, the ranking of the associated user sets is to rank all associated physicians, and the ranking is realized according to the closeness of the operational connection, for example, according to the closeness of the operational connection, all associated user sets are ranked from high to low or from low to high according to the closeness of the operational connection of the hair transplant among the associated physicians of the first user, and physicians in the same interval are automatically ranked to the same rank, so that an accurate data base source is provided for outputting the second hair transplant feedback information through further analysis after ranking the associated user sets.
Further, according to the divided association levels, acquiring the association level with the number of people more than or equal to 2 in the same level, and analyzing the sequential bearing relationship of hair planting operation/nursing for the associated users in the same level to obtain a first sequential bearing sequence, and performing dislocation evaluation on associated users in the same level according to the first order, for example, a first user, a second user and a third user, the second user evaluating the first user, the third user evaluating the second user, the first user evaluating the third user to form a closed loop, outputting the dislocation evaluation in the level, and so on, all the evaluation outputs of all the correlation levels are obtained, the first dislocation evaluation information is generated, and then weighting according to the level of the association level, for example, the weighting coefficient of the lamp with higher association degree is properly increased, and finally outputting the second hair planting feedback information. And by dividing the associated user grade, carrying out sequential sequencing analysis to improve the evaluation feedback accuracy of the second hair planting feedback information output.
Further, as shown in fig. 3, step S530 in this embodiment of the present application further includes:
step S531: performing dispersion analysis according to the first dislocation evaluation information to obtain first evaluation dispersion;
step S532: if the first evaluation dispersion is larger than a preset evaluation dispersion, obtaining a first abnormal index;
step S533: according to the first abnormal index, obtaining the analogy evaluation information of the first analogy index in the first monitoring element set;
step S534: obtaining neighborhood evaluation information according to the positioning of the first abnormal index in the first order-bearing sequence;
step S535: and obtaining first correction evaluation information according to the analogy 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, and when the first evaluation dispersion is higher, it represents that the first misalignment evaluation information includes an abnormal index evaluation, so by determining whether the first evaluation dispersion is greater than a preset evaluation dispersion, if the first evaluation dispersion is greater than the preset evaluation dispersion, the abnormal index is identified to obtain the first abnormal index, and if the first evaluation dispersion is less than the preset evaluation dispersion, it represents that the evaluation quality of the first misalignment evaluation information is higher at present, and the next processing unit is entered.
Further, if the first abnormal index is obtained, it indicates that the evaluation in the first dislocation evaluation information has a malicious evaluation, which affects the accuracy of hair planting effect evaluation, 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 performing user-oriented 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 abnormal index correction evaluation, and outputting the first corrected evaluation information, so that a mode based on dispersion evaluation and multi-party data comprehensive correction is achieved, and the accuracy of outputting the first dislocation evaluation information is improved.
Further, as shown in fig. 4, the obtaining of second microneedle planting data according to the first monitoring element set further includes, in step S400,:
step S410: performing information entropy calculation on all monitoring elements in the first monitoring element set to obtain an information entropy calculation result;
step S420: obtaining N monitoring elements with information entropy larger than preset information entropy according to the information entropy calculation result;
step S430: and taking the N monitoring elements as the preferable monitoring elements to carry out microneedle planting data acquisition, and obtaining the second microneedle planting data.
Specifically, since all the monitoring elements in the first monitoring element set are obtained by analyzing 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 hair loss characteristics of different users are different, so that the 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 the data are analyzed according to the information entropy calculation result, the information entropy calculation is a process of performing entropy calculation according to the information importance degree of the information entropy calculation result, and can represent the importance degree of all the elements, so that N monitoring elements larger than a preset information entropy are obtained according to the information entropy calculation result, wherein the preset information entropy is an entropy threshold value, and when the information entropy is larger than the preset information entropy, the monitoring element is represented as a preferred element for evaluating the hair loss effect, therefore, the N monitoring elements are used as the optimal monitoring elements for microneedle planting data acquisition, the pertinence of the monitoring elements can be improved, and the technical effect of optimizing the calculated data quantity and improving the data calculation efficiency 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 evaluation indexes and evaluation scores;
step S732: obtaining evaluation distribution information of the associated user set;
step S733: judging whether index intersection exists or not 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 treatment according to the proportion 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 an index intersection exists between the evaluation index distribution of the first user and the evaluation index distribution of the associated user set is judged, for example, a corresponding index evaluation is obtained from an index matrix during index evaluation, if an index intersection exists, a larger weight needs to be given to the index evaluation of the intersection part, and other evaluation indexes are normalized according to the basis of normalization processing by using the index intersection part as a basis, for example, if the index intersection in the first user and the associated user set accounts for 30%, a weight increment is performed on a coincidence index within 30%, and all indexes are normalized as a data reference basis of index normalization, so as to output the first subjective evaluation result.
By analyzing the evaluation distribution information of the first user and the associated user set, after determining the intersection evaluation index, the corresponding evaluation score realizes the standardization processing of all evaluation data, such as the user intersection index scores 95 and 100; physician intersection index scores 76, 80; the reference standard is not on a horizontal line, so that standardization 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 accuracy of subjective evaluation result output are achieved.
Further, the steps of the embodiment of the present application further include S800:
step S810: building a first excitation function according to the first microneedle planting data;
step S820: according to the similarity of the historical evaluation data matched by the first excitation function, obtaining a first response result output by the first excitation function, wherein the first response result is a first matched user;
step S830: obtaining an evaluation dataset of the first matching user;
step S840: and generating first auxiliary evaluation data according to the evaluation data set of the first matching user, and performing assistance 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 acquires evaluation data of a user with corresponding characteristics from system historical evaluation data according to the real-time user hair planting characteristics and a monitoring data set as excitation characteristics, and outputs a response result of the first excitation function, wherein the system historical evaluation data is stored in an evaluation database, and calling of the user evaluation data is realized through a calling instruction. And taking the output evaluation data set of the first matching user as auxiliary data to carry out auxiliary evaluation self-check on the real-time user evaluation.
Further, when the planting data characteristics of the first matching user are similar to those of the first user, obtaining evaluation information of the first matching user, firstly calling an objective evaluation result for comparison, if the objective evaluation result is within a preset fluctuation range, then calling and comparing subjective evaluation, if the subjective evaluation data fluctuation of the first matching user evaluation data set and the real-time evaluation data of the first user is large, obtaining first reminding information, and performing auxiliary correction according to the first reminding information, thereby outputting an accurate evaluation result.
Compared with the prior art, the invention has the following beneficial effects:
1. the method comprises the steps of analyzing preset hair planting design data of a first user according to a first microneedle device to obtain first microneedle planting data, further analyzing parameter types in the first microneedle planting data to obtain a first monitoring element set, and carrying out corresponding data acquisition according to the monitoring element types in the first monitoring element set to obtain second microneedle planting data. Further, index evaluation feedback is carried out on a first user through a subjective index matrix, first hair planting feedback information of the first user is obtained, index evaluation feedback of a plurality of doctor users related to the first user is carried out on a plurality of related users, and second hair planting feedback information is obtained. And inputting the obtained second microneedle planting data, the first hair planting feedback information and the second hair planting feedback information into a two-dimensional effect evaluation model, and outputting a final hair planting comprehensive evaluation result according to the built two-dimensional effect evaluation model. The goal of improving the pertinence and the accuracy of the hair planting effect evaluation by combining the objectivity of a new microneedle technology and the initiative of a multi-party user is combined intelligently, and the technical effect of providing the hair planting decision requirement support for the user is achieved.
2. The evaluation median of the neighborhood users is used as the field evaluation information, the analog evaluation information and the neighborhood evaluation information are used as the basis of abnormal index evaluation correction to be corrected, and the first correction evaluation information is output, so that a mode based on dispersion evaluation and multi-party data comprehensive correction is achieved, and the accuracy of outputting the first dislocation evaluation information is improved.
3. Because all the associated doctors are classified, classification is realized according to the closeness degree of the operation connection, and sequential bearing sequencing analysis is performed by dividing the associated user grades to improve the evaluation feedback accuracy of the second hair transplant feedback information output.
4. The method judges whether the evaluation index distribution of the first user and the evaluation index distribution of the associated user set have index intersection, determines the intersection evaluation index and then realizes the standardization processing and weight increment of all evaluation data corresponding to the evaluation score, thereby achieving the technical effects of accurately processing the subjective evaluation data and improving the accuracy of the output of the subjective evaluation result.
Example two
Based on the same inventive concept as the intelligent evaluation method for hair-planting effect of the new microneedle technology in the foregoing embodiment, the present invention further provides an intelligent evaluation system for hair-planting effect of the new microneedle technology, as shown in fig. 6, 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 setting 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 hair transplantation 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 hair transplantation 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;
a first feedback unit 16, where the first feedback unit 16 is configured to obtain first hair planting feedback information and second hair planting 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 hair planting feedback information, and the second hair planting feedback information into the two-dimensional effect evaluation model, so as to obtain a first output result, where the first output result is a hair planting comprehensive evaluation result.
Further, the system further comprises:
a fifth obtaining unit, configured to obtain a first association level by performing level classification on the associated user set;
a sixth obtaining unit, configured to perform order-bearing relationship analysis on associated users in the same level according to the first association level, so as to obtain a first order-bearing sequence;
a seventh obtaining unit, configured to perform misalignment evaluation on associated users in the same level according to the first sequential ordering, and obtain first misalignment 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 hair transplantation 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 abnormal indicator if the first evaluation dispersion is greater than a preset evaluation dispersion;
a tenth obtaining unit, configured to obtain, according to the first abnormal indicator, analog evaluation information of the first analog indicator in the first monitoring element set;
an eleventh obtaining unit, configured to obtain neighborhood evaluation information according to positioning of the first abnormal indicator in the first order-bearing ranking;
the first correction unit is used for obtaining first correction evaluation information according to the analogy 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:
a first input unit, configured to input the second microneedle planting data, the first hair planting feedback information, and the second hair planting feedback information into the two-dimensional effect evaluation model, where the two-dimensional effect evaluation model includes an objective effect evaluation model and a subjective effect evaluation model, and where the objective effect evaluation model and the subjective effect evaluation model data are interactive;
a second input unit, configured to input the second microneedle planting data into the objective effect evaluation model to obtain a first objective evaluation result;
a third input unit, configured to input the first hair planting feedback information and the second hair planting feedback information into the subjective effect evaluation model to obtain a first subjective evaluation result;
and the first generating 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, according to the information entropy calculation result, N monitoring elements whose information entropy is greater than a preset information entropy;
a fourteenth obtaining unit, configured to perform microneedle planting data acquisition on the N monitoring elements as preferred monitoring elements, so as 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 index intersection exists or not according to the evaluation distribution information of the first user and the evaluation distribution information of the associated user set, and if the index intersection exists, a first mark index set is obtained;
and the first processing unit is used for carrying out weight distribution and standardization processing according to the proportion of the first mark index set to obtain the first subjective evaluation result.
Further, the system further comprises:
the second building unit is used for building 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 historical evaluation data, where the first response result is a first matching user;
an eighteenth obtaining unit configured to obtain an evaluation data set of the first matching user;
a first generation unit configured to generate first auxiliary evaluation data from the evaluation data set of the first matching user, and perform assistance based on the first auxiliary evaluation data
Various changes and specific examples of the intelligent evaluation method for hair-transplant effect of a new microneedle technology in the first embodiment in fig. 1 are also applicable to the intelligent evaluation system for hair-transplant effect of a new microneedle technology in this embodiment, and through the foregoing detailed description of the intelligent evaluation method for hair-transplant effect of a new microneedle technology, a person skilled in the art can clearly know the implementation method of the intelligent evaluation system for hair-transplant effect of a new microneedle technology in this embodiment, so for the sake of brevity of the description, detailed description is not repeated here.
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 hair transplantation effect of the new microneedle technology in the foregoing embodiment, the present invention further provides an intelligent evaluation system for hair transplantation effect of the new microneedle technology, wherein a computer program is stored thereon, and when the program is executed by a processor, the steps of any one of the foregoing methods of the intelligent evaluation system for hair transplantation effect of the new microneedle technology are implemented.
Where in fig. 7 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 305 provides an interface between the bus 300 and the 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, and the memory 304 may be used for storing data used by the processor 302 in performing operations.
The embodiment of the application provides an intelligent evaluation method for hair-planting effect of a new microneedle technology, which is applied to an intelligent evaluation system for hair-planting effect of a new microneedle technology, wherein 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 performing attribute analysis on the first microneedle planting data, wherein the first monitoring element set is a monitoring parameter type set in the microneedle hair 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 a set of associated users of the first user; respectively obtaining first hair planting feedback information and second hair planting feedback information of the first user and the associated user set based on a subjective index matrix; inputting the second microneedle planting data, the first hair planting feedback information and the second hair planting feedback information into the two-dimensional effect evaluation model to obtain a first output result, wherein the first output result is a hair planting comprehensive evaluation result. The technical problems that the hair planting effect based on the new microneedle technology cannot be intelligently evaluated, the comprehensiveness is low, and accurate hair planting decision requirements cannot be provided for users in the prior art are solved, the goal of improving the pertinence and the accuracy of hair planting effect evaluation by combining the objectivity of the new microneedle technology and the initiative of a multi-party user is intelligently combined, and further the technical effect of providing support for the hair planting decision requirements for the users is achieved.
Those of ordinary skill in the art will understand that: the various numbers of the first, second, etc. mentioned in this application are only used for the convenience of description and are not used to limit the scope of the embodiments of this application, nor to indicate the order of precedence. "and/or" describes the association relationship of the associated object, indicating that there may be three relationships, for example, a and/or B, which may indicate: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one" means one or more. At least two means two or more. "at least one," "any," or similar expressions refer to any combination of these items, including any combination of item(s) or item(s). For example, at least one (one ) of a, b, or c, may represent: a, b, c, a b, a c, b c, or a b c, wherein a, b, c can be single or multiple.
In the above embodiments, the implementation may be wholly or partially realized 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, cause the processes or functions described in accordance with the embodiments of the application to occur, 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
The instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, where the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wirelessly (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device including one or more available media integrated servers, data centers, and the like. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The various illustrative logical units and circuits described in this application may be implemented or operated upon by general purpose processors, digital signal processors, Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other programmable logic systems, discrete gate or transistor logic, discrete hardware components, or any combination thereof. A general-purpose processor may be a microprocessor, but in the alternative, the 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 conjunction with specific features and embodiments thereof, it will be evident that various modifications and combinations can be made thereto without departing from the spirit and scope of the application. Accordingly, the specification and figures are merely exemplary of the application as defined in the appended claims and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the application. It will be apparent to those skilled in the art that various changes and modifications may 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 its equivalent technology, it is intended that the present application include such modifications and variations.
Claims (10)
1. An intelligent evaluation method for hair-planting effect of new microneedle technology is characterized in that the method is applied to an intelligent evaluation system for hair-planting effect of new microneedle technology, 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 performing attribute analysis on the first microneedle planting data, wherein the first monitoring element set is a monitoring parameter type set in the microneedle hair 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 a set of associated users of the first user;
respectively obtaining first hair planting feedback information and second hair planting feedback information of the first user and the associated user set based on a subjective index matrix;
inputting the second microneedle planting data, the first hair planting feedback information and the second hair planting feedback information into the two-dimensional effect evaluation model to obtain a first output result, wherein the first output result is a hair planting comprehensive evaluation result.
2. The method of claim 1, wherein after obtaining the set of associated users for the first user, the method further comprises:
obtaining a first association grade by carrying out grade division on the associated user set;
according to the first association level, carrying out order-bearing relation analysis on the associated users in the same level to obtain a first order-bearing sequence;
carrying out dislocation evaluation on the associated users in the same grade according to the first order sequence to obtain first dislocation evaluation information;
and after the first dislocation evaluation information is subjected to level weight processing, outputting the second hair planting 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 first evaluation dispersion;
if the first evaluation dispersion is larger than a preset evaluation dispersion, obtaining a first abnormal index;
according to the first abnormal index, obtaining the analogy evaluation information of the first analogy index in the first monitoring element set;
obtaining neighborhood evaluation information according to the positioning of the first abnormal index in the first order-bearing sequence;
and obtaining first correction evaluation information according to the analogy 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 the inputting the second microneedle planting data, the first hair planting feedback information, and the second hair planting feedback information into the two-dimensional effect evaluation model yields a first output result, the method further comprising:
inputting the second microneedle planting data, the first hair planting feedback information and the second hair planting 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;
inputting the second microneedle planting data into the objective effect evaluation model to obtain a first objective evaluation result;
inputting the first hair planting feedback information and the second hair planting feedback information into the subjective effect evaluation model to obtain a first subjective evaluation result;
and generating the comprehensive evaluation result according to the first objective evaluation result and the first subjective evaluation result and outputting the comprehensive evaluation result.
5. The method of claim 4, wherein second microneedle planting data is obtained from the first set of monitored elements, the method further comprising:
performing information entropy calculation on all monitoring elements in the first monitoring element set to obtain an information entropy calculation result;
obtaining N monitoring elements with information entropy larger than preset information entropy according to the information entropy calculation result;
and taking the N monitoring elements as the preferable monitoring elements to carry out microneedle planting data acquisition, and obtaining the second microneedle planting data.
6. The method of claim 4, wherein the method further comprises:
obtaining evaluation distribution information of the first user, wherein the evaluation distribution information comprises evaluation indexes and evaluation scores;
obtaining evaluation distribution information of the associated user set;
judging whether index intersection exists or not 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;
and carrying out weight distribution and standardization treatment according to the proportion of the first marking index set to obtain the first subjective evaluation result.
7. The method of claim 1, wherein the method further comprises:
building 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 matching historical evaluation data of the first excitation function, wherein the first response result is a first matching user;
obtaining an evaluation dataset of the first matching user;
and generating first auxiliary evaluation data according to the evaluation data set of the first matching user, and performing assistance according to the first auxiliary evaluation data.
8. An intelligent evaluation system for hair-planting effect of new microneedle technology, characterized in that the system comprises:
the hair planting device comprises a first obtaining unit, a second obtaining unit and a control unit, wherein the first obtaining unit is used for obtaining first microneedle planting data of a first user according to a first microneedle device, and the first microneedle planting data are preset hair planting design data;
a second obtaining unit, configured to perform attribute analysis on the first microneedle planting data to obtain a first monitoring element set, where the first monitoring element set is a set of monitoring parameter types in a microneedle hair transplantation process;
the first building unit is used for building a two-dimensional effect evaluation model;
a third obtaining unit, configured to obtain second microneedle planting data according to the first monitoring element set, where the second microneedle planting data is hair transplantation operation data monitored in real time;
a fourth obtaining unit, configured to obtain an associated user set of the first user;
a first feedback unit, configured to obtain first hair planting feedback information and second hair planting feedback information of the first user and the associated user set, respectively, based on a subjective index matrix;
the first output unit is used for inputting the second microneedle planting data, the first hair planting feedback information and the second hair planting feedback information into the two-dimensional effect evaluation model to obtain a first output result, wherein the first output result is a hair planting comprehensive evaluation result.
9. An electronic device, comprising a processor and a memory:
the memory is used for storing;
the processor is configured to execute the method of any one of claims 1-7 by calling.
10. A computer program product comprising a computer program and/or instructions, characterized in that the computer program and/or instructions, when executed by a processor, implement the steps of the method of any one of claims 1-7.
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