CN116259384A - Medical health-based netlike information processing system - Google Patents
Medical health-based netlike information processing system Download PDFInfo
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- CN116259384A CN116259384A CN202310546073.XA CN202310546073A CN116259384A CN 116259384 A CN116259384 A CN 116259384A CN 202310546073 A CN202310546073 A CN 202310546073A CN 116259384 A CN116259384 A CN 116259384A
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Abstract
The invention discloses a medical health-based reticular information processing system, which combines the cumulative probability drafting function of Stata software, uses code debugging to generate a target cumulative probability sequencing graph, and more intuitively, quickly, concisely and clearly displays the cumulative probability sequencing graph of the effective rate of treating the children hand-foot-mouth disease by various traditional Chinese medicine preparations. The medical health-based netlike information processing system can realize that an automatic data processing unit is designed on the basis of adopting stata software, so that data information is automatically picked up and identified directly through each sequencing table generated by importing Addis software, the aim of more effectively combining drawing work between the Addis software and the stata software is fulfilled, simple list guiding operation is realized, an effective accumulated probability sequencing chart for treating the children hand-foot-and-mouth disease by combining various traditional Chinese medicine preparations can be generated quickly, and more visual and concise reading is facilitated for audiences.
Description
Technical Field
The invention relates to the technical field of medical data information processing, in particular to a mesh information processing system for treating children hand-foot-mouth disease based on a medical health traditional Chinese medicine preparation.
Background
Addis software performs prior evaluation and processing on data by using an MCMC method based on a Bayesian framework, and can automatically perform mesh Meta analysis on related data, so that the Addis software is representative of non-programming software for manufacturing mesh Meta analysis at present. In the operation process of the Addis software, an operator only needs to make relevant judgment on consistency and convergence test, and simple operation is carried out according to corresponding prompts, the software can automatically produce results and relevant graphs, and the Addis software mainly comprises the following 7 parts: (1) realizing a model for integrating clinical test data; (2) a graphical user interface for managing the test and analysis; (3) semi-automatic introduction of studies from ClinicalTrials. (4) Semi-automatically generating an analyzed graphical user interface guide; (5) calculating an external program package for analysis; (6) a component of an external graphical user interface for visualization of results; (7) linking functions of external databases. Thus, in mesh Meta analysis, the software can network to extract the data already stored in the database using the relevant numbers.
The stata16 software is the 16 th generation stata software, which is a set of complete and integrated statistical software that provides its user data analysis, data management, and professional charting.
At present, by using Addis software, in the aspect of treating the children hand-foot-mouth disease, the effective rates of various traditional Chinese medicine preparations are subjected to netlike Meta analysis, direct comparison data and indirect comparison data are integrated, a good and bad sequencing probability table of the effective rates of the various traditional Chinese medicine preparations for treating the children hand-foot-mouth disease is obtained, the sequencing cumulative probability is calculated according to the probability sequencing table, stata software is imported, and a cumulative probability sequencing graph capable of showing the effective rates of the various traditional Chinese medicine preparations for treating the children hand-foot-mouth disease is obtained through code control and data processing.
Referring to a health evaluation report generation system with a Chinese patent publication number of CN114373545A, an information processing unit and a touch screen unit are adopted, the information processing unit receives position detection data and generates a health evaluation report, and the health evaluation report is displayed for a patient to check through the touch screen unit. The health evaluation report can be generated rapidly, and the patient can know own physical condition conveniently.
Referring to a clinical test scheme intelligent optimization and evaluation system based on big data with Chinese patent publication No. CN111833974A, the applicable matching degree of the test scheme is obtained through a big data method, the optimized and evaluated test scheme is pushed according to priority, and then a chart is displayed through a display module, so that the efficiency and accuracy of researching the clinical test result are improved in an auxiliary mode.
Comprehensive analysis of the above referenced patents can lead to the following drawbacks:
1) The existing data display chart is not visual, although the health evaluation report generating system and the large data-based clinical test scheme intelligent optimization and evaluation system of the CN114373545A refer to the patent, namely the CN111833974A, generate data charts through data processing algorithms, the data charts are not visual and clear enough, staff is required to open the stata software first in the process of generating the probability sequence chart by introducing each sequencing table generated by adopting the Addis software into the stata software, after graphic objects, data information and each data constraint target information are sequentially filled in sequence, the stata software can generate the corresponding probability sequence chart, the automatic data processing unit cannot be designed on the basis of adopting the stata software, the automatic data information pick-up and identification can not be directly carried out through each sequencing table generated by adopting the stata software, the aim of combining the drawing work between the Addis software and the stata software more effectively can not be achieved, the simple guide table operation can not be realized, the probability chart combining the effective efficiency of treating the children's hand-foot-mouth disease by adopting various traditional Chinese medicine preparations can be generated quickly, and the convenient and clear analysis can not be realized, and the audience can not read conveniently.
2) After the existing Addis software is adopted for tabulation, when new effective cumulative probability sequencing analysis of one or more traditional Chinese medicine preparations is needed to be added in the stata software drafting process, the sequencing table is required to be re-prepared and the effective cumulative probability sequencing graph is re-regenerated, the method is time-consuming and labor-consuming, the problem that assignment relevance is built between the effective cumulative probability data table of the newly added traditional Chinese medicine preparations and a test object generated on the total cumulative probability graph in an assignment mode cannot be solved, and then the aim of quickly introducing the effective cumulative sequencing graph of the newly added same or different medicines cannot be achieved through a method of independently generating and mirroring the mapping, so that the aim of expanding the table graph per se can not be achieved simply and quickly, and the analysis of a large number of medicine test data is quite unfavorable.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a medical health-based mesh information processing system, which solves the problems that the existing chart displayed by data is not visual, an automatic data processing unit cannot be designed on the basis of adopting stata software, the automatic data information pick-up and recognition can not be directly carried out through each sequencing table generated by importing Addis software, the aim of more effectively combining the chart work between the Addis software and the stata software can not be achieved, meanwhile, the aim of expanding the chart can not be achieved simply and rapidly by directly accumulating probability data tables of the effective rates of a plurality of newly added traditional Chinese medicine preparations, establishing assignment relevance between the newly added traditional Chinese medicine preparations and a test object generated on the total accumulated probability chart in an assignment mode and then realizing the rapid introduction of the accumulated sequencing chart of the effective rates of newly added medicines or different medicines by a single generation and mirror image drawing method.
In order to achieve the above purpose, the invention is realized by the following technical scheme: the utility model provides a based on medical treatment health netted information processing system, including the netted Meta analysis system of adis and stata cartography system, netted Meta analysis is done to the effective rate of a plurality of traditional chinese medicine preparation to the netted Meta analysis system, obtain the ordered probability table of this a plurality of traditional chinese medicine preparation treatment children hand-foot-mouth disease effective rate, calculate the cumulative probability data of ordering according to the probability ordered table, send to stata cartography system and generate a cumulative probability sequence diagram that combines this a plurality of traditional chinese medicine preparation treatment children hand-foot-mouth disease effective rate, stata cartography system includes data automatic processing unit, stata software interaction terminal and stata software big database, the automatic processing unit of data includes micro-processing module, data import module, data classification unit, data pickup module and newly-increased data type recognition module, still include:
the data integration analysis unit is used for extracting drawing programs in stata software from the large database of the stata software and carrying out marking integration processing on data corresponding to each node in the ordering probability table for effectively treating the children hand-foot-mouth disease by adopting an integration drawing algorithm;
the pattern generation module is used for importing the effective cumulative probability data values corresponding to the various Chinese medicinal preparations after marking integration into the same established coordinate system, matching lines corresponding to different colors through an integrated drawing algorithm to generate cumulative probability ordering patterns for treating the effective rates of the hand-foot-mouth disease of the various Chinese medicinal preparations, and sending the generated patterns to the stata software interaction terminal through the micro-processing module for display interaction;
the newly-added data expansion unit is used for integrating corresponding effective rate accumulated probability data of the newly-added traditional Chinese medicine preparation into an accumulated probability ordering chart of the generated effective rates of treating the children hand-foot-mouth disease of various traditional Chinese medicine preparations by adopting a mirror assignment algorithm.
Preferably, the micro-processing module is used for controlling each module in the whole automatic data processing unit.
Preferably, the data importing module is used for importing ordered probability tables for obtaining effective rates of treating the children hand-foot-mouth disease by a plurality of traditional Chinese medicine preparations through the Addis mesh Meta analysis system, and calculating ordered accumulated probability data according to the probability ordered tables.
Preferably, the data classification unit is used for identifying and classifying the types of the traditional Chinese medicine preparations in a sequencing probability table according to the effective rate of treating the children hand-foot-mouth disease by the imported traditional Chinese medicine preparations.
Preferably, the data classification unit is composed of n data identification modules, and each data identification module is used for carrying out identification processing on an ordered probability table and accumulated probability data of the effective rate of treating the children hand-foot-mouth disease by using the traditional Chinese medicine preparation.
Preferably, the data picking module is used for picking up data corresponding to each node in the ordering probability table of the effective rate of treating the children hand-foot-mouth disease by various traditional Chinese medicine preparations.
Preferably, the new data type identifying module is configured to determine that the corresponding cumulative probability data of the new added traditional Chinese medicine preparation is another group of cumulative probability data of the original traditional Chinese medicine preparation of the same kind in the system, or is a group of cumulative probability data of a brand-new traditional Chinese medicine preparation.
Preferably, after the stata drawing system finishes drawing, the generated graphic file is converted into a feedback script file and sent to the Addis mesh Meta analysis system, and the feedback script file is shared and displayed through an interactive display terminal in the Addis mesh Meta analysis system.
Preferably, the integrated drawing algorithm specifically includes the following steps:
s1, recognizing Chinese medicine preparation names of a sequencing probability table for effectively treating the children hand-foot-mouth disease of the imported Chinese medicine preparations one by one through a character recognition algorithm program by n recognition modules in a data classification unit, and marking according to a recognition sequence to obtain an effective rate accumulated probability data matrix U for effectively treating the children hand-foot-mouth disease of each Chinese medicine preparation, wherein the effective rate accumulated probability data matrix U comprises the following specific steps:
the method comprises the steps of carrying out a first treatment on the surface of the Wherein: m represents the number of Chinese medicinal preparation types, n is the number of cumulative probability statistical nodes,
in order to identify an effective rate accumulated probability data sequence of the m-th traditional Chinese medicine preparation for treating the children hand-foot-mouth disease,
the accumulated probability data of the nth statistical node in the effective rate accumulated probability data for treating the children hand-foot-and-mouth disease for the identified mth traditional Chinese medicine preparation;
s2, extracting the data from the stata software big database through a data integration analysis unitGenerating a marking sequence by taking a pre-edited graph
Wherein
Generating a color for the mth graphic;
s3, generating a marking sequence X by the graph in the step S2 and an effective rate accumulated probability data matrix of the effective rate of treating the children hand-foot-mouth disease by each traditional Chinese medicine in the step S1
Integrating according to the generating sequence to obtain the figure color mark sequence
；
S4, the micro-processing module controls the graph generating module to integrate and process the graph color marking sequence obtained according to the step S3
And generating mark points in a coordinate system formed by the same effective accumulated probability and statistical nodes according to effective accumulated probability data of the effective rate of treating the children hand-foot-mouth disease of the traditional Chinese medicine preparation in the sequence, generating a graph of the color through the type color of the corresponding mark on the mark points of the same type, and analogizing, namely generating an accumulated probability sequencing graph of the effective rate accumulated probability of treating the children hand-foot-mouth disease of the m traditional Chinese medicine preparations in n statistical nodes.
Preferably, the mirror assignment algorithm specifically includes the following steps:
t1, when a new ordering probability table for effectively treating the hand-foot-and-mouth disease of the traditional Chinese medicine preparation and ordering accumulated probability data corresponding to the probability ordering table are imported through the data importing module, the newly added data type identifying module randomly generates a sequence corresponding to the effective rate accumulated probability data for effectively treating the hand-foot-and-mouth disease of the traditional Chinese medicine preparation
And (2) andidentifying the names of the traditional Chinese medicine preparations in the ordering probability table of the effective rate of treating the children hand-foot-mouth disease by the newly added traditional Chinese medicine preparations through a character identification algorithm program;
t2, when the identified Chinese medicinal preparation name is the existing Chinese medicinal preparation name in the system, the Chinese medicinal preparation sequence corresponding to the existing Chinese medicinal preparation name is
The micro-processing module finds the original sequence of the traditional Chinese medicine preparation
And generate
Identical mirror sequences
Handle
All the accumulated probability data of each node in the network are replaced by
Is to make
The mirror sequence
According to the original sequence U of the traditional Chinese medicine preparation x Is marked by a graphic color
Generating curve patterns with the same color and different line types on the same coordinate system;
t3, when the identified Chinese medicinal preparation name is not the existing Chinese medicinal preparation name in the system, the micro-processing module enables the newly-added data expansion unit control system to be in the original Chinese medicinal preparation matrix
Is developed and generated on the basis of (1)Image marking of (a)
Simultaneously, the system is matched and integrated to obtain a graph color marking sequence
Thus, a new color-corresponding curve pattern is generated on the same coordinate system.
The invention provides a medical health-based mesh information processing system. Compared with the prior art, the method has the following beneficial effects:
(1) According to the medical health-based mesh information processing system, a target cumulative probability ranking map (SUCRA) is generated by combining the cumulative probability mapping function of Stata software and using code debugging, so that the cumulative probability ranking map for treating the children hand-foot-mouth disease by various traditional Chinese medicine preparations is more visual, quicker, simpler and clearer, the effect of which treatment scheme is better can be seen at one glance by a spectator, an automatic data processing unit can be designed on the basis of the Stata software, the data information is directly picked up and identified by importing each ranking table generated by Addis software, the aim of more effectively combining the mapping work between the Addis software and the Stata software is well achieved, the simple table guiding operation is realized, the effective cumulative probability ranking map for treating the children hand-foot-mouth disease by combining various traditional Chinese medicine preparations can be quickly generated, the spectator can conveniently read more intuitively and concisely, and the reading analysis of the reading map of staff is greatly facilitated.
(2) According to the medical health-based mesh information processing system, after the existing Addis software is adopted for tabulation, in the process of converting into stata software for drafting, when effective accumulated probability sequencing analysis of a new traditional Chinese medicine preparation or traditional Chinese medicine preparations is needed, the ordered list is not required to be re-prepared and an effective accumulated probability sequencing graph is re-generated, time and labor are saved, the effect that the effective accumulated probability data list of the newly-added traditional Chinese medicine preparations is directly established with a test object generated on the total accumulated probability graph in a valuation mode is achieved, and then the effective accumulated sequencing graph of the newly-added traditional Chinese medicine preparation or the different medicine preparations is rapidly imported by a method of generating and mirroring the method, so that the aim of expanding the table graph itself is well achieved, and the analysis of a large amount of medicine test data is very beneficial.
(3) According to the medical health-based mesh information processing system, by combining Addis software and Stata software, the Addis can realize higher-level iterative operation, a consistency model is adopted for detection, the convergence is judged by a potential scale reduction parameter PSRF (potentialscalereducedfactor), the convergence of an iterative effect is good when PSRF is 1.00-1.05, the model is stable and reliable, otherwise, an extended button is adopted for carrying out larger-parameter iterative operation until PSRF is 1.00-1.05.
Drawings
FIG. 1 is a schematic block diagram of a system of the present invention;
FIG. 2 is a block diagram of the stata mapping system of the present invention;
FIG. 3 is a logic schematic diagram of the mirror assignment algorithm of the present invention;
FIG. 4 is a graph of the prior art split target cumulative probability ordering of various traditional Chinese medicine formulations generated by stata software;
fig. 5 is a graph of a centralized target cumulative probability ranking for various Chinese medicinal preparations generated by the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. 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.
Referring to fig. 1-3, two technical schemes are provided in the embodiment of the present invention: a medical health-based mesh information processing system, comprising the following embodiments:
the utility model provides a based on medical treatment health netted information processing system, including the netted Meta analysis system of Addis and stata cartography system, the netted Meta analysis system of Addis carries out netted Meta analysis with the effective rate of a plurality of traditional chinese medicine preparation, obtain the ordered probability table of the effective rate of a plurality of traditional chinese medicine preparation treatment children hand-foot-mouth disease, calculate the cumulative probability data of ordering according to the probability ordered table, send to stata cartography system and generate a cumulative probability ordering diagram that combines the effective rate of a plurality of traditional chinese medicine preparation treatment children hand-foot-mouth disease, stata cartography system includes data automatic processing unit, stata software interaction terminal and stata software big database, the data automatic processing unit includes micro-processing module, the data import module, data classification unit, data pick-up module and newly-increased data type identification module, still include:
the data integration analysis unit is used for extracting drawing programs in stata software from the large database of the stata software and carrying out marking integration processing on data corresponding to each node in the ordering probability table for effectively treating the children hand-foot-mouth disease by adopting an integration drawing algorithm;
the pattern generation module is used for importing the effective cumulative probability data values corresponding to the various Chinese medicinal preparations after marking integration into the same established coordinate system, matching lines corresponding to different colors through an integrated drawing algorithm to generate cumulative probability ordering patterns for treating the effective rates of the hand-foot-mouth disease of the various Chinese medicinal preparations, and sending the generated patterns to the stata software interaction terminal through the micro-processing module for display interaction;
the newly-added data expansion unit is used for integrating corresponding effective rate accumulated probability data of the newly-added traditional Chinese medicine preparation into an accumulated probability ordering chart of the generated effective rates of treating the children hand-foot-mouth disease of various traditional Chinese medicine preparations by adopting a mirror assignment algorithm.
In the embodiment of the invention, the micro-processing module is used for controlling each module in the whole data automatic processing unit.
In the embodiment of the invention, the data importing module is used for importing ordered probability tables for obtaining effective rates of treating the children hand-foot-mouth disease by a plurality of traditional Chinese medicine preparations through an Addis mesh Meta analysis system and calculating ordered accumulated probability data according to the probability ordered tables.
In the embodiment of the invention, the data classification unit is used for identifying and classifying the types of the traditional Chinese medicine preparations in the effective ordering probability table for treating the children hand-foot-and-mouth disease according to the imported traditional Chinese medicine preparations, the data classification unit consists of n data identification modules, and each data identification module is used for identifying and processing the ordering probability table and the accumulated probability data of the effective ordering probability table for treating the children hand-foot-and-mouth disease of one traditional Chinese medicine preparation.
In the embodiment of the invention, the data pickup module is used for picking up the data corresponding to each node in the ordering probability table of the effective rate of treating the children hand-foot-mouth disease by various traditional Chinese medicine preparations.
In the embodiment of the invention, the newly added data type identification module is used for judging that the corresponding effective rate accumulated probability data of the newly added traditional Chinese medicine preparation is another group of accumulated probability data of the original traditional Chinese medicine preparation of the same kind in the system or is a group of accumulated probability data of a brand-new traditional Chinese medicine preparation.
In the embodiment of the invention, after the stata drawing system finishes drawing, the generated graphic file is converted into a feedback script file and sent to the Addis mesh Meta analysis system, and the feedback script file is shared and displayed through an interactive display terminal in the Addis mesh Meta analysis system.
In the embodiment of the invention, the integrated drawing algorithm specifically comprises the following steps:
s1, recognizing Chinese medicine preparation names of a sequencing probability table for effectively treating the children hand-foot-mouth disease of the imported Chinese medicine preparations one by one through a character recognition algorithm program by n recognition modules in a data classification unit, and marking according to a recognition sequence to obtain an effective rate accumulated probability data matrix U for effectively treating the children hand-foot-mouth disease of each Chinese medicine preparation, wherein the effective rate accumulated probability data matrix U comprises the following specific steps:
the method comprises the steps of carrying out a first treatment on the surface of the Wherein: m represents the number of Chinese medicinal preparation types, n is the number of cumulative probability statistical nodes,
in order to identify an effective rate accumulated probability data sequence of the m-th traditional Chinese medicine preparation for treating the children hand-foot-mouth disease,
the accumulated probability data of the nth statistical node in the effective rate accumulated probability data for treating the children hand-foot-and-mouth disease for the identified mth traditional Chinese medicine preparation;
s2, extracting a pre-edited graph generation mark sequence from the stata software big database through a data integration analysis unit
Wherein
Generating a color for the mth graphic;
s3, generating a marking sequence X by the graph in the step S2 and an effective rate accumulated probability data matrix of the effective rate of treating the children hand-foot-mouth disease by each traditional Chinese medicine in the step S1
Integrating according to the generating sequence to obtain the figure color mark sequence
；
S4, the micro-processing module controls the graph generating module to integrate and process the graph color marking sequence obtained according to the step S3
And generating mark points in a coordinate system formed by the same effective accumulated probability and statistical nodes according to effective accumulated probability data of the effective rate of treating the children hand-foot-mouth disease of the traditional Chinese medicine preparation in the sequence, generating a graph of the color through the type color of the corresponding mark on the mark points of the same type, and analogizing, namely generating an accumulated probability sequencing graph of the effective rate accumulated probability of treating the children hand-foot-mouth disease of the m traditional Chinese medicine preparations in n statistical nodes.
The embodiment of the invention is different from the embodiment 1 in the technical scheme that: the mirror assignment algorithm specifically comprises the following steps:
t1, when a new ordering probability table for effectively treating the hand-foot-and-mouth disease of the traditional Chinese medicine preparation and ordering accumulated probability data corresponding to the probability ordering table are imported through the data importing module, the newly added data type identifying module randomly generates a sequence corresponding to the effective rate accumulated probability data for effectively treating the hand-foot-and-mouth disease of the traditional Chinese medicine preparation
And identifying the names of the traditional Chinese medicine preparations in the ordering probability table of the effective rate of treating the children hand-foot-mouth disease by the newly added traditional Chinese medicine preparations through a character identification algorithm program;
t2, when the identified Chinese medicinal preparation name is the existing Chinese medicinal preparation name in the system, the Chinese medicinal preparation sequence corresponding to the existing Chinese medicinal preparation name is
The micro-processing module finds the original sequence of the traditional Chinese medicine preparation
And generate
Identical mirror sequences
Handle
All the accumulated probability data of each node in the network are replaced by
Is to make
The mirror sequence
According to the original sequence U of the traditional Chinese medicine preparation x Is marked by a graphic color
Generating curve patterns with the same color and different line types on the same coordinate system;
t3, when the identified Chinese medicinal preparation name is not the existing Chinese medicinal preparation name in the system, the micro-processing module enables the newly-added data expansion unit control system to be in the original Chinese medicinal preparation matrix
Is expanded to generate new image marks on the basis of
Simultaneously, the system is matched and integrated to obtain a graph color marking sequence
Thus, a new color-corresponding curve pattern is generated on the same coordinate system.
In the embodiment of the invention, the character recognition algorithm adopts the existing universal character recognition OCR recognition algorithm, and the 0CR recognition principle is as follows: the input image data is analyzed by a specific characteristic engineering method, useful information is extracted, a classifier is constructed, then characters in the image are identified and classified, and finally a character identification result is obtained. Character recognition is mainly divided into four steps: text acquisition, filtering, feature extraction and character classification.
(1) And (3) character acquisition: the text acquisition step typically uses a scanner or camera to convert text and other document content into image format for computer processing.
(2) And (3) filtering: the filtering step is to process the obtained image, reduce the interference background, correct the pixel missing problem, blur the image, etc. so as to extract the character information effectively.
(3) Feature extraction: the feature extraction step is to convert the image of the filtering result into features required for modeling, typically by using edge detection techniques, converting the characters into vectors, and then modeling and training the vectors.
(4) Character classification: the character classification step is to classify the characters by using algorithms such as cluster analysis or machine learning according to the extracted features, so as to obtain a character recognition result.
The Chinese medicinal preparations in fig. 4 and 5 of the present invention include XYP+XY, XECQ+XY, YHN+XY, LQ+ XY, XY, RDN +XY, TRQ+XY, PDL+XY, and GLXDD+XY, which are 9 kinds in total, and the abscissa in fig. 4 and 5 is the statistical node rank, and the ordinate is the cumulative probability value Cumulative Probability.
And all that is not described in detail in this specification is well known to those skilled in the art.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. The utility model provides a based on medical treatment health netted information processing system, includes Addis netted Meta analytic system and stata drawing system, netted Meta analysis is done to the effective rate of a plurality of traditional chinese medicine preparation to Addis netted Meta analytic system, obtains the ordered probability table of this a plurality of traditional chinese medicine preparation treatment children hand-foot-mouth disease effective rate, calculates the cumulative probability data of ordering according to the probability ordered table, sends to stata drawing system and generates a cumulative probability ordering diagram that combines this a plurality of traditional chinese medicine preparation treatment children hand-foot-mouth disease effective rate, its characterized in that: the sta drawing system comprises a data automatic processing unit, a sta software interaction terminal and a sta software big database, wherein the data automatic processing unit comprises a micro-processing module, a data importing module, a data classifying unit, a data picking-up module and a newly-added data type identifying module, and further comprises:
the data integration analysis unit is used for extracting drawing programs in stata software from the large database of the stata software and carrying out marking integration processing on data corresponding to each node in the ordering probability table for effectively treating the children hand-foot-mouth disease by adopting an integration drawing algorithm;
the pattern generation module is used for importing the effective cumulative probability data values corresponding to the various Chinese medicinal preparations after marking integration into the same established coordinate system, matching lines corresponding to different colors through an integrated drawing algorithm to generate cumulative probability ordering patterns for treating the effective rates of the hand-foot-mouth disease of the various Chinese medicinal preparations, and sending the generated patterns to the stata software interaction terminal through the micro-processing module for display interaction;
the newly-added data expansion unit is used for integrating corresponding effective rate accumulated probability data of the newly-added traditional Chinese medicine preparation into an accumulated probability ordering chart of the generated effective rates of treating the children hand-foot-mouth disease of various traditional Chinese medicine preparations by adopting a mirror assignment algorithm.
2. A medical health-based mesh information processing system according to claim 1, wherein: the micro-processing module is used for controlling each module in the whole data automatic processing unit.
3. A medical health-based mesh information processing system according to claim 1, wherein: the data importing module is used for importing ordered probability tables for effectively treating the children hand-foot-mouth disease by a plurality of traditional Chinese medicine preparations obtained through the Addis mesh Meta analysis system and calculating ordered accumulated probability data according to the probability ordered tables.
4. A medical health-based mesh information processing system according to claim 1, wherein: the data classification unit is used for identifying and classifying the types of the traditional Chinese medicine preparations in the ordering probability table according to the effective rate of treating the children hand-foot-mouth disease by the imported traditional Chinese medicine preparations.
5. The medical health-based mesh information processing system according to claim 4, wherein: the data classification unit consists of n data identification modules, and each data identification module is used for carrying out identification processing on an ordered probability table and accumulated probability data of the effective rate of treating the children hand-foot-mouth disease by using the traditional Chinese medicine preparation.
6. A medical health-based mesh information processing system according to claim 1, wherein: the data picking module is used for picking up data corresponding to each node in the ordering probability table of the effective rate of treating the children hand-foot-mouth disease by various traditional Chinese medicine preparations.
7. A medical health-based mesh information processing system according to claim 1, wherein: the newly-added data type identification module is used for judging that the corresponding effective rate accumulated probability data of the newly-added traditional Chinese medicine preparation is another group of accumulated probability data of the original traditional Chinese medicine preparation of the same kind in the system or is a group of accumulated probability data of a brand-new traditional Chinese medicine preparation.
8. A medical health-based mesh information processing system according to claim 1, wherein: after the stata drawing system finishes drawing, converting the generated graphic file into a feedback script file, sending the feedback script file into the Addis mesh Meta analysis system, and carrying out sharing display through an interactive display terminal in the Addis mesh Meta analysis system.
9. A medical health based mesh information processing system as in claim 5, wherein: the integrated drawing algorithm specifically comprises the following steps:
s1, recognizing Chinese medicine preparation names of a sequencing probability table for effectively treating the children hand-foot-mouth disease of the imported Chinese medicine preparations one by one through a character recognition algorithm program by n recognition modules in a data classification unit, and marking according to a recognition sequence to obtain an effective rate accumulated probability data matrix U for effectively treating the children hand-foot-mouth disease of each Chinese medicine preparation, wherein the effective rate accumulated probability data matrix U comprises the following specific steps:
the method comprises the steps of carrying out a first treatment on the surface of the Wherein: m represents the number of Chinese medicinal preparation types, n is the number of cumulative probability statistical nodes,
in order to identify an effective rate accumulated probability data sequence of the m-th traditional Chinese medicine preparation for treating the children hand-foot-mouth disease,
the accumulated probability data of the nth statistical node in the effective rate accumulated probability data for treating the children hand-foot-and-mouth disease for the identified mth traditional Chinese medicine preparation;
s2, extracting a pre-edited graph generation mark sequence from the stata software big database through a data integration analysis unit
Wherein
Generating a color for the mth graphic;
s3, generating a marking sequence X by the graph in the step S2 and an effective rate accumulated probability data matrix of the effective rate of treating the children hand-foot-mouth disease by each traditional Chinese medicine in the step S1
Integrating according to the generating sequence to obtain the figure color mark sequence
；
S4, the micro-processing module controls the graph generating module to integrate and process the graph color marking sequence obtained according to the step S3
And generating mark points in a coordinate system formed by the same effective accumulated probability and statistical nodes according to effective accumulated probability data of the effective rate of treating the children hand-foot-mouth disease of the traditional Chinese medicine preparation in the sequence, generating a graph of the color through the type color of the corresponding mark on the mark points of the same type, and analogizing, namely generating an accumulated probability sequencing graph of the effective rate accumulated probability of treating the children hand-foot-mouth disease of the m traditional Chinese medicine preparations in n statistical nodes.
10. A medical health based mesh information processing system as in claim 9, wherein: the mirror assignment algorithm specifically comprises the following steps:
t1, when a new ordering probability table for effectively treating the hand-foot-and-mouth disease of the traditional Chinese medicine preparation and ordering accumulated probability data corresponding to the probability ordering table are imported through the data importing module, the newly added data type identifying module randomly generates a sequence corresponding to the effectively accumulated probability data for effectively treating the hand-foot-and-mouth disease of the traditional Chinese medicine preparation
And identifying the names of the traditional Chinese medicine preparations in the ordering probability table of the effective rate of treating the children hand-foot-mouth disease by the newly added traditional Chinese medicine preparations through a character identification algorithm program;
t2, when the identified Chinese medicinal preparation name is the existing Chinese medicinal preparation name in the system, the Chinese medicinal preparation sequence corresponding to the existing Chinese medicinal preparation name is
The micro-processing module finds the original sequence of the traditional Chinese medicine preparation
And generate
Identical mirror sequences
Handle
All the accumulated probability data of each node in the network are replaced by
Is to make
The mirror sequence
According to the original sequence U of the traditional Chinese medicine preparation x Is marked by a graphic color
Generating curve patterns with the same color and different line types on the same coordinate system;
t3, when the identified Chinese medicinal preparation name is not the existing Chinese medicinal preparation name in the system, the micro-processing module enables the newly-added data expansion unit control system to be in the original Chinese medicinal preparation matrix
Is expanded to generate new image marks on the basis of
Simultaneously, the system is matched and integrated to obtain a graph color marking sequence
Thus generating a new color on the same coordinate systemCorresponding curve patterns.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130325498A1 (en) * | 2012-06-05 | 2013-12-05 | United States Of America, As Represented By The Secretary Of The Army | Health Outcome Prediction and Management System and Method |
| EP2863230A1 (en) * | 2013-10-18 | 2015-04-22 | Universite De Bourgogne | A method for predicting the risk of sepsis of a patient undergoing surgery |
| US20180108431A1 (en) * | 2016-10-14 | 2018-04-19 | Celmatix Inc. | Methods and systems for assessing fertility based on subclinical genetic factors |
| CN109508385A (en) * | 2018-11-06 | 2019-03-22 | 云南大学 | A kind of character relation analysis method in web page news data based on Bayesian network |
| CN111863163A (en) * | 2020-06-06 | 2020-10-30 | 吴嘉瑞 | Drug curative effect multi-index evaluation method based on Bayesian network and three-dimensional mathematical model |
| US20210313077A1 (en) * | 2013-03-15 | 2021-10-07 | James Paul Smurro | Augmenting Clinical Intelligence with Federated Learning, Imaging Analytics and Outcomes Decision Support |
-
2023
- 2023-05-16 CN CN202310546073.XA patent/CN116259384B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130325498A1 (en) * | 2012-06-05 | 2013-12-05 | United States Of America, As Represented By The Secretary Of The Army | Health Outcome Prediction and Management System and Method |
| US20210313077A1 (en) * | 2013-03-15 | 2021-10-07 | James Paul Smurro | Augmenting Clinical Intelligence with Federated Learning, Imaging Analytics and Outcomes Decision Support |
| EP2863230A1 (en) * | 2013-10-18 | 2015-04-22 | Universite De Bourgogne | A method for predicting the risk of sepsis of a patient undergoing surgery |
| US20180108431A1 (en) * | 2016-10-14 | 2018-04-19 | Celmatix Inc. | Methods and systems for assessing fertility based on subclinical genetic factors |
| CN109508385A (en) * | 2018-11-06 | 2019-03-22 | 云南大学 | A kind of character relation analysis method in web page news data based on Bayesian network |
| CN111863163A (en) * | 2020-06-06 | 2020-10-30 | 吴嘉瑞 | Drug curative effect multi-index evaluation method based on Bayesian network and three-dimensional mathematical model |
Non-Patent Citations (8)
| Title |
|---|
| KENNY ZHAO: "how to perform network meta-analysis of continous variable using R,GeMTC snd STATA softwares", 《CHINSES JOURNAL OF EVIDENCE-BASED MEDICINE》, pages 861 - 868 * |
| 于莹 等: "四种中药注射液治疗小儿手足口病的网状meta分析", 《山东中医药大学学报》, pages 156 - 163 * |
| 张超 等: "应用stata软件mvmeta程序包实现网状meta分析", 《中国循证医学杂志》, pages 1150 - 1159 * |
| 张超;徐畅;曾宪涛;: "网状Meta分析中网状关系图的绘制", 中国循证医学杂志, no. 11, pages 1382 - 1386 * |
| 曾宪涛 等: "应用addis软件实现网状meta研究", 《中国循证医学杂志》, pages 1508 - 1515 * |
| 曾宪涛;徐畅;张超;李胜;: "网状Meta分析在Stata软件中的实现", 中国循证医学杂志, no. 11, pages 1387 - 1391 * |
| 汪徐林;秦正积;陆益花;张建;张晟;沈毅;: "Stata软件在网状Meta分析中的应用", 现代预防医学, no. 19, pages 3461 - 3482 * |
| 田金徽;李伦;赵晔;葛龙;: "网状Meta分析的撰写与报告", 中国药物评价, no. 06, pages 321 - 333 * |
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