CN117789920A - Nursing management system and method based on data mining - Google Patents
Nursing management system and method based on data mining Download PDFInfo
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Abstract
The invention discloses a nursing management system and a nursing management method based on data mining, which relate to the technical field of nursing management, wherein a database is arranged, patient information is collected and registered to obtain a patient end, corresponding nursing training information is matched and searched in the database based on the patient information to serve as target nursing training information, training plan information is formulated for a corresponding patient by referring to the nursing training information, training videos of the training plan information are collected from the patient end, and training limb information of the patient end is extracted based on the training videos. The invention can monitor the corresponding information respectively, can accurately know the nonstandard factors of the nursing training actions, better gives suggestions and has better auxiliary effect of the nursing training actions.
Description
Technical Field
The invention relates to the technical field of nursing management, in particular to a nursing management system and method based on data mining.
Background
Along with the progress of medical management, corresponding training muscles are required in exercises of conditions such as uncoordinated limbs or injuries, so that targeted exercises are required to complete targeted muscle training, the standard conditions of the muscle training are difficult to judge in the process of the muscle training at present, effective guiding advice cannot be achieved, and effective nursing training of the muscles is difficult to better assist patients.
Disclosure of Invention
The invention aims to provide a nursing management system and method based on data mining, which are used for solving the defects in the background technology.
In order to achieve the above object, the present invention provides the following technical solutions: a data mining-based care management method, comprising the steps of:
setting a database, wherein the database comprises patient state information and corresponding nursing training information;
collecting patient information, registering to obtain a patient end, and searching corresponding nursing training information in a database based on the patient information in a matching way to serve as target nursing training information;
adjusting the target nursing training information based on the patient information to obtain patient reference nursing training information;
developing training plan information corresponding to patient reference nursing training information, wherein the training plan information comprises training time and training intensity implemented by the patient reference nursing training information;
and acquiring training videos of the patient end for implementing training program information, extracting training limb information of the patient end based on the training videos, acquiring distinguishing information of patient reference nursing training information and the training limb information of the patient end, obtaining training indexes, taking the training limb information of the patient end corresponding to the training indexes which do not meet preset conditions as unqualified training, and giving training advice information according to the distinguishing information.
In a preferred embodiment, the step of setting up a database comprises:
setting patient state information, wherein the patient state information comprises patient limb state information and patient limb basic information;
setting corresponding nursing training information based on patient state information, wherein the nursing training information comprises nursing training videos and corresponding training limb action information in the nursing training videos;
dividing nursing training information based on basic information of the patient limb to obtain targeted nursing training information;
and extracting training limb action information corresponding to the nursing training video and storing the training limb action information to obtain a database.
In a preferred embodiment, the step of extracting and storing the training limb action information corresponding to the nursing training video to obtain a database includes:
acquiring a humanoid outline in a nursing training video, and automatically marking humanoid bones based on the humanoid outline to obtain a virtual humanoid bone model;
marking joints in the virtual humanoid bone model, and marking a track ball corresponding to bones among the joints in the virtual humanoid bone model, wherein the track ball comprises a fixed ball, a motion ball outside the fixed ball and a center point in the fixed ball;
paving a plurality of unit grids based on the fixed ball setting grids, marking size information corresponding to the unit grids, determining corresponding zero points between the action ball and the fixed ball, fixing the fixed ball in the initially set direction all the time, and enabling the moving ball to move along with joints in the virtual humanoid skeleton model and skeletons among the joints;
and acquiring training limb motion information in the nursing training video based on the track ball, wherein the training limb motion information comprises a moving track bar of a central point in the nursing training video and azimuth change size information between the moving track bar corresponding to the action ball and the fixed ball, and storing the training limb motion information to obtain a database.
In a preferred embodiment, the step of matching and searching the corresponding nursing training information in the database based on the patient information as the target nursing training information includes:
acquiring patient identity information, body type information and patient state information as patient information, and registering a patient end based on the patient information;
and inquiring in a database based on the patient information to obtain matched nursing training information serving as target nursing training information.
In a preferred embodiment, the step of adjusting the target care training information based on the patient information to obtain patient reference care training information includes:
acquiring body type information of a patient end, wherein the body type information comprises a humanoid outline skeleton image and corresponding joints, and constructing a current patient virtual model based on the body type information;
acquiring a virtual humanoid skeleton model corresponding to target nursing training information and a track ball in the virtual humanoid skeleton model, and acquiring the proportional position of the track ball in the virtual humanoid skeleton model;
and setting a corresponding track ball and corresponding target nursing training information in the current patient virtual model based on the proportional position, and adjusting training limb action information of the track ball as patient reference nursing training information.
In a preferred embodiment, the step of developing training plan information for the corresponding patient with reference to the care training information includes:
based on the patient reference nursing training information, corresponding to the patient end, formulating training time implemented by the patient reference nursing training information and carrying out timing reminding;
the strength of the patient's training with reference to the care training information is determined based on the training time.
In a preferred embodiment, the step of collecting training videos of implementing training program information at the patient end, extracting training limb information at the patient end based on the training videos, obtaining distinguishing information of nursing training information and training limb information at the patient end for a patient and obtaining training indexes, taking the training limb information at the patient end corresponding to the training indexes which do not meet preset conditions as unqualified training, and giving training advice information according to the distinguishing information includes:
acquiring a training video of implementing training plan information of a patient end, extracting a current patient virtual model in the training video, and acquiring training limb information of the patient end in the training video based on the current patient virtual model;
the method comprises the steps of obtaining distinguishing information of patient-side training limb information and patient-side training limb information, and obtaining training indexes, wherein the distinguishing information comprises distinguishing information of total deflection of a moving ball in the patient-side training limb information and the patient-side nursing limb information, and distinguishing information of bar-shaped proportion change of a central point moving track in the patient-side training limb information and the patient-side nursing limb information;
and taking training limb information of a patient end corresponding to the training index which does not meet the preset condition as unqualified training, and giving training suggestion information according to the distinguishing information.
The invention also provides a nursing management system based on data mining, which comprises:
the setting module is used for setting a database, wherein the database comprises patient state information and corresponding nursing training information;
the matching module is connected with the setting module and used for collecting patient information and registering to obtain a patient end, and matching and searching corresponding nursing training information in the database based on the patient information to serve as target nursing training information;
the adjusting module is connected with the matching module and used for adjusting the target nursing training information based on the patient information to obtain patient reference nursing training information;
the setting module is connected with the adjusting module and used for setting training plan information corresponding to the patient reference nursing training information, wherein the training plan information comprises training time and training intensity implemented by the patient reference nursing training information;
the judging module is connected with the formulating module and is used for acquiring training videos of training program information implemented by the patient end, extracting training limb information of the patient end based on the training videos, acquiring distinguishing information of nursing training information and training limb information of the patient end by a patient to obtain training indexes, taking the training limb information of the patient end corresponding to the training indexes which do not meet preset conditions as unqualified training, and giving training suggestion information according to the distinguishing information.
In the technical scheme, the invention has the technical effects and advantages that:
the invention better guides the training of the follow-up training patients and detects the training accuracy, can decompose the actions into the deflection and the swing amplitude of the actions, can monitor the corresponding information respectively, can accurately know the nonstandard factors of the nursing training actions, better gives suggestions and has better auxiliary effect of the nursing training actions.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present invention, and other drawings may be obtained according to these drawings for a person having ordinary skill in the art.
FIG. 1 is a flow chart of the method of the present invention.
Fig. 2 is a system block diagram of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In embodiment 1, referring to fig. 1, the nursing management method based on data mining according to the embodiment includes the following steps:
s1, setting a database, wherein the database comprises patient state information and corresponding nursing training information;
s2, collecting patient information and registering to obtain a patient end, and searching corresponding nursing training information in a database based on the patient information in a matching way to serve as target nursing training information;
s3, adjusting the target nursing training information based on the patient information to obtain patient reference nursing training information;
s4, training plan information is formulated corresponding to the patient reference nursing training information, wherein the training plan information comprises training time and training intensity implemented by the patient reference nursing training information;
s5, acquiring training videos of training program information of the patient end, extracting training limb information of the patient end based on the training videos, acquiring distinguishing information of patient reference nursing training information and the training limb information of the patient end, obtaining training indexes, taking the training limb information of the patient end corresponding to the training indexes which do not meet preset conditions as unqualified training, and giving training suggestion information according to the distinguishing information;
as described in the above steps S1-S5, with the progress of medical management, corresponding training muscles are required in exercises of conditions such as uncoordinated limbs or injuries, and thus, specific exercises are required to complete specific muscle training, at present, standard conditions of muscle training are difficult to judge in the process of muscle training, effective guiding advice cannot be achieved, and therefore, effective nursing training of muscles is difficult to better assist patients, the follow-up training patients are better guided and trained, the training accuracy is detected, actions can be decomposed into deflection and swing amplitude of the actions, corresponding information can be monitored respectively, factors of nonstandard nursing training actions can be accurately known, advice is better given, and better nursing training action assisting effect is achieved;
in one embodiment, the step S1 of setting up a database includes:
s11, setting patient state information, wherein the patient state information comprises patient limb state information and patient limb basic information;
s12, setting corresponding nursing training information based on patient state information, wherein the nursing training information comprises nursing training videos and corresponding training limb action information in the nursing training videos;
s13, dividing nursing training information based on basic information of the patient limb to obtain targeted nursing training information;
s14, extracting training limb action information corresponding to the nursing training video and storing the training limb action information to obtain a database;
in one embodiment, the step S14 of extracting and storing the training limb motion information corresponding to the nursing training video to obtain a database includes:
s141, acquiring a humanoid outline in a nursing training video, and automatically marking humanoid bones based on the humanoid outline to obtain a virtual humanoid bone model;
s142, marking joints in the virtual humanoid skeleton model, and marking a track ball corresponding to bones among the joints in the virtual humanoid skeleton model, wherein the track ball comprises a fixed ball, a motion ball outside the fixed ball and a center point in the fixed ball;
s143, laying a plurality of unit grids based on the fixed ball setting grids, marking size information corresponding to the unit grids, determining corresponding zero points between the action balls and the fixed balls, fixing the fixed balls in the initially set direction all the time, and enabling the moving balls to move along with joints in the virtual humanoid skeleton model and skeletons among the joints;
s144, acquiring training limb motion information in a nursing training video based on a track ball, wherein the training limb motion information comprises a moving track bar of a central point in the nursing training video and azimuth change size information between the moving track bar corresponding to the action ball and a fixed ball, and storing the training limb motion information to obtain a database;
as described in the above steps S11-S13, the patient limb status information, such as lower limb muscle strength training or limb training body data of some diseases, is collected and set according to the big data and the history data, the patient limb status information is basic quality information of the patient' S age body, the management end selects and sets, the information is collected to obtain the corresponding rehabilitation nursing training action through the patient limb status information, the patient limb status information is collected to obtain the most suitable patient action training by referring to the basic body information of the patient, for example, rehabilitation exercise training adopted by the old crowd and the less aged people of the body basic condition are different training exercises, and then the corresponding nursing training information is set based on the patient status information, wherein the nursing training information comprises nursing training videos and corresponding training limb action information in the nursing training videos, the corresponding nursing training videos and the corresponding training limb action information in the nursing training videos are set to serve as nursing training information according to historical data and big data, the corresponding training limb action information in the nursing training videos serves as limb purposes of training and training, the nursing training information is divided through patient limb basic information to obtain targeted nursing training information, the nursing training information is divided through technical mining to obtain the nursing training information suitable for the patient limb basic information to serve as targeted nursing training information, the humanoid outline in the acquired nursing training videos is obtained, the humanoid skeleton is automatically marked based on the humanoid outline to obtain a virtual humanoid skeleton model, in order to obtain the virtual humanoid skeleton model, the motion information is obtained through monitoring the skeleton, joints in the virtual humanoid skeleton model are marked, a track ball is marked corresponding to the skeleton between the joints in the virtual humanoid skeleton model, wherein the track ball comprises a fixed ball, an action ball outside the fixed ball and a center point in the fixed ball, for example, a fixed ball is virtually marked in the skeleton between the joints in the virtual humanoid skeleton model, the fixed ball moves along with the skeleton but always does not rotate towards the direction, the position corresponding to the movement but does not rotate, at the moment, the marked position can be marked as the initial position of the fixed ball, then the action ball is arranged outside the fixed ball, the action ball is in a binding state with the skeleton, the action ball deflects and rotates and moves along with the movement of the skeleton, and the center point is used for obtaining the movement track of the skeleton, the moving track of the action under a period of time forms a moving track bar through a center point, a plurality of unit grids are paved based on a fixed ball setting grid, corresponding unit grid marking size information, the unit network can be similar to the setting of the longitude and latitude lines of the earth, the corresponding zero point between the action ball and the fixed ball is determined, the corresponding zero point of the action ball follows the change information in the nursing training video to be the deflection change size of the fixed ball corresponding to the action ball, the moving track bar of the center point in the nursing training video and the azimuth change size information between the moving track bar corresponding to the action ball and the fixed ball are recorded in the nursing training video, the deflection change size of the fixed ball corresponding to the action ball is stored corresponding to the moving track bar, and the training limb action information of nursing training video personnel can be better reflected, the follow-up training patients can be better guided and trained, the training accuracy is detected, the actions can be decomposed into the deflection of the actions (deflection change size of movement calculation) and the swing amplitude (movement track bar of the center point), the follow-up information can be respectively monitored, the factors of nonstandard nursing training actions can be accurately known, suggestions are better given, and the follow-up training device has better auxiliary action of the nursing training actions;
in one embodiment, the step S2 of matching and searching the corresponding nursing training information in the database based on the patient information as the target nursing training information includes:
s21, acquiring patient identity information, body type information and patient state information as patient information, and registering a patient end based on the patient information;
s22, inquiring in a database based on patient information to obtain matched nursing training information as target nursing training information;
as described in the above steps S21-S22, patient identity information, body type information and patient status information are collected as patient information, where the patient identity information includes information such as age, sex and name, where the body type information is collected by video, the patient status information includes patient limb status information and patient limb basic information, where the patient status information is patient personnel information of current nursing, and then patient information is registered to obtain a patient end, patient information of the patient end is queried in a database to obtain matched nursing training information as target nursing training information, so that suitable nursing training information can be searched for a patient, a better data mining function is provided, and the management efficiency of patient training can be improved;
in one embodiment, the step S3 of adjusting the target care training information based on the patient information to obtain the patient reference care training information includes:
s31, acquiring body type information of a patient end, wherein the body type information comprises a humanoid outline skeleton image and corresponding joints, and constructing a current patient virtual model based on the body type information;
s32, acquiring a virtual humanoid skeleton model corresponding to the target nursing training information and a track ball in the virtual humanoid skeleton model, and acquiring the proportional position of the track ball in the virtual humanoid skeleton model;
s33, setting a corresponding track ball and corresponding target nursing training information in a current patient virtual model based on the proportional position, and adjusting training limb action information of the track ball to serve as patient reference nursing training information;
the method comprises the steps of (a) acquiring body type information of a patient end, wherein the body type information comprises a human outline skeleton image and corresponding joints, constructing a current patient virtual model based on the body type information, wherein the body type information is a human outline skeleton image and corresponding joints, wherein the joints are used for dividing bones, virtually setting a track ball on the bones, then acquiring a virtual human skeleton model corresponding to target care training information and a track ball in the virtual human skeleton model, acquiring proportional positions of the track ball in the virtual human skeleton model, for example, setting the track ball at middle positions of bones between the joints, wherein the proportional positions are half positions of bones, then setting the corresponding track ball and training limb motion information of the track ball corresponding to target care training information in the current patient virtual model, obtaining the training limb motion information according to the change of the set positions, amplifying or shrinking a moving track bar of a center point but not changing the shape, obtaining the size information of the change between the track bar corresponding to the track ball and a fixed ball, adjusting the position of the track ball corresponding to the track ball based on the proportional positions in the current patient virtual model and the corresponding target care training information, adjusting the actual patient training standard of the patient end based on the corresponding to be used as a patient training standard for adjusting the patient training information, the body type information of the current patient end can be better attached to the body type information of the current patient end to obtain training limb action information aiming at the patient end, the training actions of the patient end can be effectively monitored, the qualification of nursing training of the patient end is guaranteed, and better nursing training auxiliary effect is achieved;
in one embodiment, the step S4 of developing training plan information for the corresponding patient with reference to the nursing training information includes:
s41, formulating training time implemented by the patient with reference to the nursing training information and carrying out timing reminding on the basis of the corresponding patient end of the patient with reference to the nursing training information;
s42, determining the training intensity of the patient with reference to the nursing training information based on the training time;
as described in the above steps S41-S42, when determining that the patient end performs the nursing training, the patient end needs to systematically make training time implemented by the patient reference nursing training information and perform timing reminding based on the patient reference nursing training information corresponding to the patient end, where the training time is a period of the nursing training, and perform timing reminding, and then determine the training strength of the patient reference nursing training information based on the training time, where the training strength is the number of groups made by the corresponding patient reference nursing training information, so that the patient end can be better intelligently managed, and better nursing assistance training effect is achieved;
in one embodiment, the step S5 of collecting training videos of implementing training program information at the patient end, extracting training limb information at the patient end based on the training videos, obtaining distinguishing information of nursing training information and training limb information at the patient end for the patient to obtain training indexes, taking the training limb information at the patient end corresponding to the training indexes which do not meet preset conditions as unqualified training, and giving training advice information according to the distinguishing information includes:
s51, acquiring a training video of implementing training plan information of a patient end, extracting a current patient virtual model in the training video, and acquiring training limb information of the patient end in the training video based on the current patient virtual model;
s52, obtaining distinguishing information of patient-side training limb information and patient-side training limb information, and obtaining a training index, wherein the distinguishing information comprises distinguishing information of total deflection of a moving ball in the patient-side training limb information and the patient-side training limb information, and distinguishing information of bar-shaped proportion change of a central point moving track in the patient-side training limb information and the patient-side training limb information;
the calculation formula of the training index is as follows:
wherein, the method comprises the steps of, wherein,in order to train the index of the person,the differential information of the total deflection number of the movable ball in the training limb information of the patient end and the nursing training information of the patient reference,the method is characterized in that the method is the distinguishing information of the change of the bar-shaped proportion of the movement track of the central point in the training limb information of the patient end and the patient reference nursing training information,the proportion of the differential information of the total deflection of the moving ball in the training limb information of the patient end,the proportion of the distinguishing information of the change of the shape proportion of the central point moving track bar in the central point moving track bar of the whole training limb information at the patient end,、and (3) withAre all constants that are greater than zero,to train the evaluation factor, it should be noted that,、、and (3) withThe larger the value of (c) is,the smaller the number, the less standard the training limb motion representing the patient side;
s53, training limb information of a patient end corresponding to the training index which does not meet the preset condition is used as unqualified training, and training suggestion information is given according to the distinguishing information;
as described in the above steps S51-S53, a training video of implementing training program information at the patient end is obtained, a current patient virtual model in the training video is extracted, training limb information at the patient end in the training video is obtained based on the current patient virtual model, the current patient virtual model at the patient end is combined with the acquired training video based on the current patient virtual model in the training video, the current patient virtual model in the training video is extracted, training limb information at the patient end in the training video is obtained based on the current patient virtual model, and then distinguishing information of patient reference care training information and training limb information at the patient end is obtained, wherein the distinguishing information comprises distinguishing information of the total deflection number of a moving ball in the patient reference care training information and distinguishing information of the strip-shaped proportion change of the central point movement track of the patient end training limb information and the patient reference care training information, then the training index is obtained for quantitative judgment, the training limb information at the patient end which does not meet preset conditions is used as unqualified training, training advice information is given according to the distinguishing information, the training advice information can be used for reminding the patient end according to the distinguishing information, for example, distinguishing information can be given out distinguishing information at the patient end, and more accurate training advice can be given to a patient limb, and a patient can be better in a certain training advice direction when the patient can be raised towards a certain limb, and the patient has a certain training advice effect, and a certain training advice effect can be better when the patient training advice is better;
embodiment 2 referring to fig. 2, a care management system based on data mining includes:
the setting module is used for setting a database, wherein the database comprises patient state information and corresponding nursing training information;
the matching module is connected with the setting module and used for collecting patient information and registering to obtain a patient end, and matching and searching corresponding nursing training information in the database based on the patient information to serve as target nursing training information;
the adjusting module is connected with the matching module and used for adjusting the target nursing training information based on the patient information to obtain patient reference nursing training information;
the setting module is connected with the adjusting module and used for setting training plan information corresponding to the patient reference nursing training information, wherein the training plan information comprises training time and training intensity implemented by the patient reference nursing training information;
the judging module is connected with the formulating module and is used for acquiring training videos of training program information implemented by the patient end, extracting training limb information of the patient end based on the training videos, acquiring distinguishing information of nursing training information and training limb information of the patient end by a patient to obtain training indexes, taking the training limb information of the patient end corresponding to the training indexes which do not meet preset conditions as unqualified training, and giving training suggestion information according to the distinguishing information.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (8)
1. The nursing management method based on data mining is characterized by comprising the following steps:
setting a database, wherein the database comprises patient state information and corresponding nursing training information;
collecting patient information, registering to obtain a patient end, and searching corresponding nursing training information in a database based on the patient information in a matching way to serve as target nursing training information;
adjusting the target nursing training information based on the patient information to obtain patient reference nursing training information;
developing training plan information corresponding to patient reference nursing training information, wherein the training plan information comprises training time and training intensity implemented by the patient reference nursing training information;
and acquiring training videos of the patient end for implementing training program information, extracting training limb information of the patient end based on the training videos, acquiring distinguishing information of patient reference nursing training information and the training limb information of the patient end, obtaining training indexes, taking the training limb information of the patient end corresponding to the training indexes which do not meet preset conditions as unqualified training, and giving training advice information according to the distinguishing information.
2. A data mining-based care management method as defined in claim 1, wherein: the step of setting up a database comprises:
setting patient state information, wherein the patient state information comprises patient limb state information and patient limb basic information;
setting corresponding nursing training information based on patient state information, wherein the nursing training information comprises nursing training videos and corresponding training limb action information in the nursing training videos;
dividing nursing training information based on basic information of the patient limb to obtain targeted nursing training information;
and extracting training limb action information corresponding to the nursing training video and storing the training limb action information to obtain a database.
3. A data mining-based care management method as defined in claim 2, wherein: the step of extracting and storing training limb action information corresponding to the nursing training video to obtain a database comprises the following steps:
acquiring a humanoid outline in a nursing training video, and automatically marking humanoid bones based on the humanoid outline to obtain a virtual humanoid bone model;
marking joints in the virtual humanoid bone model, and marking a track ball corresponding to bones among the joints in the virtual humanoid bone model, wherein the track ball comprises a fixed ball, a motion ball outside the fixed ball and a center point in the fixed ball;
paving a plurality of unit grids based on the fixed ball setting grids, marking size information corresponding to the unit grids, determining corresponding zero points between the action ball and the fixed ball, fixing the fixed ball in the initially set direction all the time, and enabling the moving ball to move along with joints in the virtual humanoid skeleton model and skeletons among the joints;
and acquiring training limb motion information in the nursing training video based on the track ball, wherein the training limb motion information comprises a moving track bar of a central point in the nursing training video and azimuth change size information between the moving track bar corresponding to the action ball and the fixed ball, and storing the training limb motion information to obtain a database.
4. A data mining-based care management method as defined in claim 1, wherein: the step of matching and searching corresponding nursing training information in the database based on the patient information as target nursing training information comprises the following steps:
acquiring patient identity information, body type information and patient state information as patient information, and registering a patient end based on the patient information;
and inquiring in a database based on the patient information to obtain matched nursing training information serving as target nursing training information.
5. A data mining-based care management method as defined in claim 1, wherein: the step of adjusting the target nursing training information based on the patient information to obtain patient reference nursing training information comprises the following steps:
acquiring body type information of a patient end, wherein the body type information comprises a humanoid outline skeleton image and corresponding joints, and constructing a current patient virtual model based on the body type information;
acquiring a virtual humanoid skeleton model corresponding to target nursing training information and a track ball in the virtual humanoid skeleton model, and acquiring the proportional position of the track ball in the virtual humanoid skeleton model;
and setting a corresponding track ball and corresponding target nursing training information in the current patient virtual model based on the proportional position, and adjusting training limb action information of the track ball as patient reference nursing training information.
6. A data mining-based care management method as defined in claim 1, wherein: the step of making training plan information for the corresponding patient with reference to the nursing training information comprises the following steps:
based on the patient reference nursing training information, corresponding to the patient end, formulating training time implemented by the patient reference nursing training information and carrying out timing reminding;
the strength of the patient's training with reference to the care training information is determined based on the training time.
7. A data mining-based care management method as defined in claim 1, wherein: the step of acquiring training videos of training program information of a patient end, extracting training limb information of the patient end based on the training videos, acquiring distinguishing information of patient reference nursing training information and the training limb information of the patient end, obtaining training indexes, taking the training limb information of the patient end corresponding to the training indexes which do not meet preset conditions as unqualified training, and giving training advice information according to the distinguishing information, comprises the following steps:
acquiring a training video of implementing training plan information of a patient end, extracting a current patient virtual model in the training video, and acquiring training limb information of the patient end in the training video based on the current patient virtual model;
the method comprises the steps of obtaining distinguishing information of patient-side training limb information and patient-side training limb information, and obtaining a training index, wherein the distinguishing information comprises distinguishing information of total deflection of a moving ball in patient-side training limb information and patient-side training limb information, and distinguishing information of bar-shaped proportion change of a central point moving track in the patient-side training limb information and patient-side training limb information, and a calculation formula of the training index is as follows:
wherein->For training index->For the difference information of the total deflection of the movable ball in the training limb information of the patient end and the nursing training information of the patient reference, +.>For the difference information of the bar-shaped proportion change of the central point moving track in the training limb information of the patient end and the patient reference nursing training information, +.>The proportion of the differential information for total number of deflection of the ball on the patient side to the training limb information, +.>The proportion of the distinguishing information of the change of the shape proportion of the central point moving track bar in the central point moving track bar of the whole training limb information at the patient end,、/>and->Are constants greater than zero, +.>Training an evaluation factor;
and taking training limb information of a patient end corresponding to the training index which does not meet the preset condition as unqualified training, and giving training suggestion information according to the distinguishing information.
8. A data mining-based care management system for implementing a data mining-based care management method as claimed in any one of claims 1 to 7, comprising:
the setting module is used for setting a database, wherein the database comprises patient state information and corresponding nursing training information;
the matching module is connected with the setting module and used for collecting patient information and registering to obtain a patient end, and matching and searching corresponding nursing training information in the database based on the patient information to serve as target nursing training information;
the adjusting module is connected with the matching module and used for adjusting the target nursing training information based on the patient information to obtain patient reference nursing training information;
the setting module is connected with the adjusting module and used for setting training plan information corresponding to the patient reference nursing training information, wherein the training plan information comprises training time and training intensity implemented by the patient reference nursing training information;
the judging module is connected with the formulating module and is used for acquiring training videos of training program information implemented by the patient end, extracting training limb information of the patient end based on the training videos, acquiring distinguishing information of nursing training information and training limb information of the patient end by a patient to obtain training indexes, taking the training limb information of the patient end corresponding to the training indexes which do not meet preset conditions as unqualified training, and giving training suggestion information according to the distinguishing information.
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