WO2023145983A1

WO2023145983A1 - System providing customized statistical analysis service and method for operating system

Info

Publication number: WO2023145983A1
Application number: PCT/KR2022/001320
Authority: WO
Inventors: 김진섭; 임창우; 김가연
Original assignee: 차라투 주식회사
Priority date: 2022-01-25
Filing date: 2022-01-25
Publication date: 2023-08-03
Also published as: KR20230114700A; KR102485460B1

Abstract

Provided is a method for operating an electronic device, comprising the steps of: connecting to a system for providing a customized statistical analysis service for a medical paper; uploading a first medical paper to the system; providing an analysis tool for performing a statistical analysis corresponding to a research method of the first medical paper, on the basis of original paper medical data disclosed in the first medical paper; receiving analysis option information via the analysis tool; and analyzing medical data on the basis of the analysis option information, and displaying the analysis result of the medical data.

Description

A system providing a customized statistical analysis service and a method of operating the system

The present disclosure relates to a system for providing a customized statistical analysis service.

With the development of technology, manpower and capacity for research are rapidly increasing. However, in certain technical fields where an environment capable of conducting research is not supported, the number of manpower capable of conducting research is not increasing.

In particular, since the medical field is a highly specialized field compared to other technical fields, statistical analysis of medical information or medical data is not easy.

Therefore, it is required to develop a system in which research personnel can receive customized statistical analysis services using medical papers, etc., and continue research.

When a user uploads a prescribed medical thesis to a system that provides a customized statistical analysis service for medical thesis, an analysis tool that performs statistical analysis corresponding to the research method of the uploaded medical thesis is intended to be provided.

It is intended to provide a customized statistical analysis service by setting analysis option information based on a user's input.

According to one embodiment, accessing a system providing a customized statistical analysis service for medical papers; uploading a first medical article into the system; providing an analysis tool for performing a statistical analysis corresponding to a research method of the first medical thesis based on original text information described in the first medical thesis; receiving analysis option information through the analysis tool; and analyzing medical data based on the analysis option information and displaying an analysis result of the medical data.

According to another embodiment, a communication device; processor; user interface devices; and a memory storing instructions executable by the processor, by executing the instructions, the processor accesses a system that provides a customized statistical analysis service for medical papers, and stores a first medical paper in the system. Upload and provide an analysis tool for performing statistical analysis corresponding to the research method of the first medical thesis based on the original information described in the first medical thesis through the user interface device, and through the user interface device, An electronic device is provided that receives analysis option information through the analysis tool, analyzes medical data based on the analysis option information, and displays analysis results of the medical data through the user interface device.

According to another embodiment, a communication device; processor; and a memory storing instructions executable by the processor, wherein the processor obtains a medical paper by executing the instructions, and performs a statistical analysis of the medical paper based on the original text described in the medical paper. Generates an analysis tool that does, obtains medical data and analysis option information different from the original information described in the medical paper, analyzes the medical data based on the analysis option information, and provides analysis results for the medical data , the server is provided.

When a user uploads a prescribed medical thesis to a system that provides a customized statistical analysis service for medical thesis, an analysis tool for performing statistical analysis corresponding to a research method of the uploaded medical thesis may be provided.

By setting analysis option information based on a user's input, a customized statistical analysis service may be provided.

This disclosure may be readily understood in combination with the detailed description that follows and the accompanying drawings, wherein reference numerals denote structural elements.

1 is a conceptual diagram illustrating an operation of providing an analysis tool for performing statistical analysis on medical papers in an electronic device and displaying an analysis result of input medical data based on analysis option information, according to an embodiment.

2 is a flowchart illustrating a method of operating an electronic device according to an exemplary embodiment.

3 is a diagram for explaining a user interface provided by an analysis tool according to an exemplary embodiment.

4 is a diagram for explaining a screen displaying analysis results obtained according to a user interface provided by an analysis tool and analysis option information set in the user interface, according to one embodiment.

5 is a diagram for describing a screen that is output when medical data requested for analysis is not mapped to analysis option information, according to an exemplary embodiment.

6 is a diagram for explaining a screen displaying analysis results obtained according to a user interface provided by an analysis tool and analysis option information set in the user interface, according to another embodiment.

7 is a block diagram illustrating a configuration of an electronic device according to an exemplary embodiment.

8 is a flowchart illustrating a method of operating a server according to an embodiment.

9 is a diagram for explaining a process of generating an analysis tool based on a result of learning medical papers in a server according to an embodiment.

10 is a block diagram illustrating a configuration of a server according to an embodiment.

Accessing a system providing a customized statistical analysis service for medical papers; uploading a first medical article into the system; providing an analysis tool for performing a statistical analysis corresponding to the research method of the first medical thesis based on the original medical data described in the first medical thesis; receiving analysis option information through the analysis tool; and analyzing medical data based on the analysis option information and displaying an analysis result of the medical data.

Hereinafter, various embodiments will be described in detail with reference to the drawings. Embodiments described below may be modified and implemented in various different forms. In order to more clearly describe the characteristics of the embodiments, a detailed description of matters widely known to those skilled in the art to which the following embodiments belong will be omitted.

On the other hand, when a component is said to be "connected" to another component in this specification, this includes not only the case of being 'directly connected', but also the case of being 'connected with another component in between'. In addition, when a certain component "includes" another component, this means that other components may be further included without excluding other components unless otherwise specified.

Also, terms including ordinal numbers such as 'first' or 'second' used in this specification may be used to describe various elements, but the elements should not be limited by the terms. These terms are only used for the purpose of distinguishing one component from another.

Throughout the specification, “electronic device” may be a smart phone, tablet PC, PC, TV, smart TV, mobile phone, personal digital assistant (PDA), laptop, or non-mobile computing device, but is not limited thereto.

The "server" may provide a customized statistical analysis service for medical papers. The server may provide an analysis tool that performs statistical analysis corresponding to research methods of medical papers.

The “analysis tool” may be software or a program that provides an analysis result of medical data by applying an analysis method used to obtain a research method of a medical article to medical data. The analysis tool may be generated based on original text information described in medical papers. A research method in a medical paper may refer to a method used to obtain or analyze a research result described in a medical paper. Original information of the medical paper may include at least one of a title, original medical data, original text graph, original text table, and interrogative text described in the medical paper. Also, the analysis tool may provide an analysis result obtained by analyzing medical data according to analysis option information.

"Analysis option information" may be condition information to be considered for performing analysis of medical data in an analysis tool. For example, the analysis option information may include at least one parameter used for statistical analysis and information for setting a value of the at least one parameter.

1 is a diagram illustrating an operation of providing an analysis tool for performing statistical analysis on medical papers in an electronic device 10 and displaying an analysis result of input medical data based on analysis option information, according to an embodiment. it is a concept

Referring to block 110 of FIG. 1 , the electronic device 10 may access a system that provides a customized statistical analysis service for medical papers based on a user's input, and upload the medical papers 115 to the system. there is. The medical thesis 115 may be determined as a target thesis to be provided with a customized statistical analysis service.

Also, the electronic device 10 may receive information related to the medical thesis 115 . The system may search for the medical paper 115 based on information related to the medical paper 115 and determine the medical paper 115 as a target paper to provide a customized statistical analysis service.

Referring to block 120 of FIG. 1 , the electronic device 10 may provide an analysis tool 125 that performs statistical analysis corresponding to the research method of the medical thesis 115 . For example, the analysis tool 125 may be generated based on original information described in the medical thesis 115 in a system that provides a customized statistical analysis service. The electronic device 10 may execute the analysis tool 125 and display an execution screen of the analysis tool 125 .

Referring to block 130 of FIG. 1 , the electronic device 10 may display an analysis result 135 of input medical data based on analysis option information. For example, the electronic device 10 may receive an input for setting analysis option information to be applied to medical data to be analyzed through the analysis tool 125 . The electronic device 10 may display the analysis result 135 analyzed based on the analysis option information in the analysis tool.

2 is a flowchart illustrating an operating method of the electronic device 10 according to an exemplary embodiment.

Referring to FIG. 2 , in step S210, the electronic device 10 may access a system providing a customized statistical analysis service for medical papers.

In step S220, the electronic device 10 may upload the first medical paper into the system. For example, a user may upload a first medical paper to be used for statistical analysis into the system. The first medical dissertation may be determined as a dissertation to be provided with a customized statistical analysis service.

Also, the electronic device 10 may receive information related to the first medical thesis. For example, the information related to the first medical paper may include at least one of the title, author, keyword, and identification information of the paper of the first medical paper. The system may search for the first medical paper based on information related to the first medical paper, and determine the first medical paper as a target paper to provide a customized statistical analysis service.

In step S230, the electronic device 10 may provide an analysis tool for performing statistical analysis corresponding to the research method of the first medical thesis, based on the original information described in the first medical thesis. For example, analysis tools can be provided on the web.

For example, the analysis tool may provide an analysis result of the medical data by applying the analysis method used to obtain the research method of the medical thesis to the medical data having the same attributes as the original medical data described in the medical thesis. there is.

For example, medical data having the same attributes as the original medical data may be a sample value or a set of sample values for a predetermined parameter.

For example, the analysis tool may be provided through an execution screen in the system.

In step S240, the electronic device 10 may receive analysis option information through the analysis tool. For example, the analysis option information may be condition information to be considered for performing analysis of medical data in an analysis tool. For example, the analysis option information may include at least one parameter used for statistical analysis and information for setting a value of the at least one parameter.

For example, the electronic device 10 may display a user interface for setting information of at least one parameter used for statistical analysis. For example, information on at least one parameter may include information on parameters corresponding to each of the text graph and text table described in the first medical paper.

For example, the electronic device 10 may receive an input for selecting a text graph or text table described in the first medical paper as an analysis result target. The first medical paper may be displayed as thumbnails or page by page. The user may check the first medical paper displayed as a thumbnail and select an original text graph or text table of interest in the first medical paper as an analysis result target. By enabling the user to intuitively select the original text graph or text table of interest in the first medical paper displayed as a thumbnail, the user can easily select the analysis result target and does not directly set parameters or parameter values used in statistical analysis. It has an effect you don't need.

For example, the electronic device 10 may receive an input for selecting an image corresponding to an object as a selected analysis result. For example, the electronic device 10 may provide a user interface through which each of the text graph and text table described in the first medical paper may be selected.

For example, the electronic device 10 may receive an input for setting a region corresponding to a selected analysis result target. For example, the electronic device 10 may receive an input for setting a region corresponding to a selected analysis result target in a drag and drop method.

For example, the electronic device 10 may receive medical data different from original medical data. The electronic device 10 may recommend analysis option information of at least one parameter used for statistical analysis based on a result of comparing the original medical data and the medical data. For example, the electronic device 10 may display a list of analysis result objects that can be analyzed based on a result of comparing the original medical data and the medical data. In addition, the electronic device 10 may leave only a user interface related to an analysis result object that can be analyzed on the screen, and remove a user interface related to an analysis result object that cannot be analyzed from the image. For example, the electronic device 10 may receive analysis option information based on a recommendation result.

In step S250, the electronic device 10 may analyze the medical data based on the analysis option information and display the analysis result of the medical data.

For example, the electronic device 10 may display a user interface for setting analysis option information and an analysis result of medical data together. In this case, the electronic device 10 may receive changed analysis option information through a user interface and display an analysis result of medical data according to the changed analysis option information in real time.

For example, the electronic device 10 may analyze medical data corresponding to a plurality of groups based on analysis option information for each of a plurality of groups classified according to attributes of a plurality of samples. The electronic device 10 may display an analysis result corresponding to a group satisfying a preset condition based on a result of analyzing medical data corresponding to a plurality of groups. For example, the preset condition may be a condition that satisfies a numerical value that can be determined as a meaningful result in a medical paper.

For example, the electronic device 10 may receive medical data different from original medical data. The electronic device 10 may check whether at least one parameter set according to the analysis option information is mapped to medical data. For example, parameters used for statistical analysis according to the analysis option information may be a first parameter and a second parameter. On the other hand, the parameters in the medical data input by the user may be the second parameter and the third parameter. In this case, since there is no data for the first parameter in the medical data input by the user, the analysis tool cannot perform statistical analysis according to the analysis option information. Accordingly, if the medical data is not mapped to at least one parameter, the electronic device 10 may display a message requesting supplementation or change of the medical data.

For example, the electronic device 10 may download information corresponding to an analysis result of medical data from the system. For example, the analysis tool may provide a plurality of formats from which information corresponding to the analysis result can be downloaded.

The analysis tool may provide an analysis result of the medical data by applying the analysis method used to obtain the research method of the medical paper to the medical data. The analysis tool may perform statistical analysis corresponding to research methods described in medical papers. The analysis tool may provide a user interface requesting statistical analysis for each category.

Referring to the image 310 of FIG. 3 , the analysis tool may provide a user interface for setting conditions for statistical analysis for each category. As shown in the image 310 of FIG. 3, the analysis tool may provide a Data item 311, a Table item 312, a Regression item 313, a Plot item 314, and an ROC analysis item 315. there is. When a user selects a predetermined item among a plurality of items, a list of sub-items of the selected item may be displayed. Meanwhile, items provided in the user interface may be set based on user input.

For example, when an input for selecting the Plot item 314 is received, the electronic device 10 may display a list 316 of sub-items for Plot types on the analysis tool. For example, AAA Plot, BBB Plot, and CCC Plot in the list of sub-items 316 may correspond to graphs described in medical papers. Also, sub-items may be recommended based on a user's analysis request history.

For example, when an input for selecting a CCC Plot item is received, the electronic device 10, in order to provide an analysis result for the CCC Plot on the analysis tool, at least one parameter used for statistical analysis corresponding to the CCC Plot, A user interface for setting a value of at least one parameter may be displayed. In addition, when at least one parameter and the value of the at least one parameter are set through the user interface, the electronic device 10 may display the analysis result for the CCC Plot through the analysis tool.

Referring to the image 320 of FIG. 3 , the analysis tool may provide a recommendation item 321 recommending analysis option information of at least one parameter used for statistical analysis. For example, when an input for selecting the Recommendation item 321 is received, the electronic device 10 may display a list of recommendation analysis sub-items. For example, the recommended analysis sub-items may be generated based on a result of comparing original medical data with medical data input by a user. For example, based on data having the same attributes between original medical data and medical data input by a user, a statistical analysis method used in medical papers may be recommended.

Meanwhile, the user interface provided by the analysis tool shown in FIG. 3 is an example, and a user interface composed of other items may be provided.

The analysis tool may provide a user interface for setting analysis option information and analysis results of medical data on a single screen.

As shown in FIG. 4 , the analysis tool may allocate an area of the user interface 410 for setting analysis option information to the left area of the screen, and allocate an area of the medical data analysis result 420 to the right area. there is. The electronic device 10 may display a screen provided by the analysis tool.

For example, the user interface 410 for setting analysis option information includes a first user interface 411 allowing a user to select a predetermined parameter from among a plurality of parameters in setting a parameter used for statistical analysis and parameters A second user interface 412 allowing values to be set may be included.

When analysis option information is changed through the user interface 410, the analysis tool may display analysis results of medical data according to the changed analysis option information in real time.

If a predetermined analysis result of the medical data analysis result 420 satisfies a preset condition, the analysis tool may highlight and display the predetermined analysis result 425 . For example, the preset condition may be a condition that satisfies a numerical value that can be determined as a meaningful result in a medical paper. For example, the analysis tool may display the analysis result 420 by applying a color of a region where a predetermined analysis result 425 is displayed differently from a color of an area where another analysis result is displayed.

Also, the analysis tool may provide items 430 through which the user may acquire information corresponding to the analysis result of the medical data. For example, the items 430 may include a copy item, a print item, a download item, and a My Thesis item. The analysis tool may provide information corresponding to the analysis result to the user according to a selected item among the items 430 .

For example, when a download item is selected among the items 430, the analysis tool provides a plurality of downloadable file formats, and the user can select a predetermined file format. The electronic device 10 may download information corresponding to an analysis result according to a selected file format.

For example, if an item of my thesis is selected among the items 430, the analysis tool may store information corresponding to the analysis result in the user's thesis work folder registered on the system. In addition, the analysis tool may automatically record information corresponding to the analysis result in the user's thesis registered on the system.

When analysis option information is set through the user interface 410, the analysis tool may display analysis results of medical data according to the set analysis option information.

For example, when the properties of medical data used to perform statistical analysis according to the analysis option information are different from the properties of the medical data input by the user, the analysis tool may perform statistical analysis according to the analysis option information. there will be no

For example, medical data used to perform statistical analysis according to the analysis option information may be data for a first parameter and a second parameter. On the other hand, the medical data requested for analysis by the user may be data for the second parameter. In this case, since medical data for the first parameter is additionally required, the analysis tool may display a message 510 requesting additional upload of medical data for the first parameter.

For another example, medical data used to perform statistical analysis according to the analysis option information may be a first parameter, and a value of the first parameter may satisfy a first range. On the other hand, the medical data requested for analysis by the user is a first parameter, and a value of the first parameter may satisfy the second range. When the first range and the second range do not overlap, the analysis tool may display a message requesting supplementation of medical data for the first parameter.

As shown in FIG. 6 , the analysis tool may allocate an area of the user interface 610 for setting analysis option information to the left area of the screen, and allocate an area of the medical data analysis result 620 to the right area. there is. The electronic device 10 may display a screen provided by the analysis tool.

For example, the user interface 610 for setting analysis option information may provide

images

611, 612, and 615 corresponding to the first medical paper. The user interface 610 may provide

images

611, 612, and 615 corresponding to pages constituting the first medical thesis. For example, the user interface 610 may display the first medical paper as a thumbnail.

The analysis tool may receive, through the user interface 610, an input for selecting a text graph or text table of interest from a predetermined page among pages of the first medical thesis. For example, the analysis tool may receive an input for selecting an image 614 corresponding to graphs in the second page of the first medical paper.

When the image 614 corresponding to the graphs in the second page of the first medical paper is selected, a mark indicating that the graphs are selected may be displayed. The analysis tool may provide an analysis result of the medical data by applying an analysis method of deriving graphs described in the first medical paper based on original text information to the medical data input by the user. For example, as shown in FIG. 6 , the analysis result of the medical data may be provided as a graph having the same format as the graphs described in the first medical paper.

For example, the analysis tool may cancel the display of a mark on a predetermined graph by receiving an input for reselecting the predetermined graph in a state in which all graphs are selected. In this case, the analysis tool may provide analysis results corresponding to the graphs other than the unmarked graph.

For example, the analysis tool may display a parameter setting window used to obtain a predetermined graph by receiving an input of double-clicking a predetermined graph among graphs. The analysis tool may receive analysis option information for setting parameters or parameter values through the parameter setting window. The analysis tool may provide an analysis result of medical data according to analysis option information.

7 is a block diagram illustrating a configuration of an electronic device 10 according to an exemplary embodiment.

Referring to FIG. 7 , the electronic device 10 may include a communication device 710, a user interface device 720, a memory 730, and a processor 740. However, not all illustrated components are essential components. The electronic device 10 may be implemented with more components than those illustrated, or the electronic device 10 may be implemented with fewer components. Hereinafter, look at the above components. The electronic device 10 shown in FIG. 7 may correspond identically to the electronic device 10 described in FIGS. 1 to 6 .

The communication device 710 may communicate with an external device. For example, the communication device 710 may communicate with an external device by being connected to a network by wire or wirelessly. Here, the external device may be the server 20 .

The communication device 710 may include a communication module supporting one of various wired/wireless communication methods. The communication module may be a short-distance communication module or a wired communication module.

The user interface device 720 may mean a device that receives data from a user to control the electronic device 10 . The processor 740 may control the user interface device 720 to generate and output a user interface screen for receiving a predetermined command or data from a user.

The user interface device 720 includes an input unit for receiving an input for controlling the operation of the electronic device 10 and displaying information such as a result of the operation of the electronic device 10 or a state of the electronic device 10. An output unit may be included. For example, the user interface device 720 may include a manipulation panel for receiving a user input and a display panel for displaying a screen.

Specifically, the input unit may include, for example, devices capable of receiving various types of user inputs, such as a keyboard, a physical button, a touch screen, a camera, or a microphone. Also, the output unit may include, for example, a display panel or a speaker. However, the user interface device 720 is not limited thereto and may include a device supporting various input/output.

The user interface device 720 may display a screen executed in a system providing a customized statistical analysis service for medical papers. The user interface device 720 may display an execution screen of an analysis tool provided by the system. The user interface device 720 may receive input of predetermined information from the execution screen of the analysis tool. The user interface device 720 may display information about a result of receiving predetermined information on the execution screen of the analysis tool.

The memory 730 may include a flash memory type, a hard disk type, a multimedia card micro type, a card type memory (SD, XD memory, etc.), RAM (RAM; Random Access Memory), SRAM (Static Random Access Memory), ROM (Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), PROM (Programmable Read-Only Memory) among magnetic memory, magnetic disk, and optical disk It may include at least one type of storage medium.

The memory 730 provides at least an analysis tool for performing statistical analysis of medical papers and executes, in the electronic device 10, a method of displaying a result of analyzing medical data based on analysis option information set by a user. One program can be saved. At least one program stored in the memory 730 may be classified into a plurality of modules according to functions.

The processor 740 controls the overall operation of the server 20 and may include at least one processor such as a CPU. The processor 740 may include at least one specialized processor corresponding to each function or may be an integrated processor.

The processor 740 may execute a program stored in the memory 730, read data or a file stored in the memory 730, or store a new file in the memory 730. Also, the processor 740 may execute instructions stored in the memory 730 .

The processor 740 may access a system providing a customized statistical analysis service for medical papers.

The processor 740 may upload the first medical paper into the system. For example, the processor 740 receives an input for selecting a file corresponding to the first medical paper through the user interface device 720, and the file corresponding to the first medical paper according to the received input to the system. can be uploaded to The user may upload the first medical paper to be used for statistical analysis into the system. For example, the system may generate an analysis tool that performs a statistical analysis corresponding to the research method of the first medical thesis, based on original information described in the uploaded first medical thesis.

The processor 740 may execute an analysis tool that performs statistical analysis on the first medical paper through the system. The processor 740 may control the operation of the analysis tool.

For example, medical data having the same attribute as the original medical data may be a sample value or a set of sample values for a predetermined parameter.

The user interface device 720 may receive analysis option information about analysis options to be used in the analysis tool. For example, the analysis option information may be condition information to be considered for performing analysis of medical data in an analysis tool. For example, the analysis option information may include at least one parameter used for statistical analysis and information for setting a value of the at least one parameter.

For example, the user interface device 720 may display a user interface for setting information of at least one parameter used for statistical analysis. For example, information on at least one parameter may include information on parameters corresponding to each of the text graph and text table described in the first medical paper.

For example, the processor 740 may receive an input for selecting a text graph or text table described in the first medical paper as an analysis result target through the user interface device 720 . For example, the first medical paper may be displayed as thumbnails or page by page. The user may check the first medical paper displayed as a thumbnail and select an original text graph or text table of interest in the first medical paper as an analysis result target. By enabling the user to intuitively select the original text graph or text table of interest in the first medical paper displayed as a thumbnail, the user can easily select the analysis result target and does not directly set parameters or parameter values used in statistical analysis. It has an effect you don't need.

For example, the user interface device 720 may receive an input for selecting an image corresponding to a selected analysis result target through a screen provided by an analysis tool. For example, the user interface device 720 may display a user interface through which each of the text graph and text table described in the first medical paper may be selected.

For example, the user interface device 720 may receive an input for setting a region corresponding to a selected analysis result target. For example, the user interface device 720 may receive an input for setting a region corresponding to a selected analysis result target in a drag and drop method.

For example, the processor 740 may receive medical data different from original medical data. The processor 740 may recommend analysis option information of at least one parameter used for statistical analysis based on a result of comparing the original medical data and the medical data. For example, the processor 740 may acquire a list of analysis result objects that can be analyzed based on a result of comparing the original medical data and the medical data, and the user interface device 720 may display the list. In addition, the processor 740 may leave only a user interface related to an analysis result object that can be analyzed on the screen, and remove a user interface related to an analysis result object that cannot be analyzed from the image. For example, the processor 740 may obtain analysis option information based on a recommendation result.

The processor 740 may analyze the medical data based on the analysis option information, and the user interface device 720 may display an analysis result of the medical data.

For example, the user interface device 720 may display a user interface for setting analysis option information and an analysis result of medical data together. In this case, the user interface device 720 may receive the changed analysis option information through the user interface and display the analysis result of the medical data according to the changed analysis option information in real time.

For example, the processor 740 may analyze medical data corresponding to a plurality of groups based on analysis option information for each of a plurality of groups classified according to attributes of a plurality of samples. The user interface device 720 may display an analysis result corresponding to a group satisfying a preset condition based on a result of analyzing medical data corresponding to a plurality of groups. For example, the preset condition may be a condition that satisfies a numerical value that can be determined as a meaningful result in a medical paper.

For example, the processor 740 may receive medical data different from original medical data. The processor 740 may check whether at least one parameter set according to the analysis option information is mapped to medical data. For example, parameters used for statistical analysis according to the analysis option information may be a first parameter and a second parameter. On the other hand, the parameters in the medical data input by the user may be the second parameter and the third parameter. In this case, since there is no data for the first parameter in the medical data input by the user, the analysis tool cannot perform statistical analysis according to the analysis option information. Accordingly, if the medical data is not mapped to at least one parameter, the user interface device 720 may display a message requesting supplementation or change of the medical data.

For example, the processor 740 may download information corresponding to an analysis result of medical data from the system. For example, the analysis tool may provide a plurality of formats from which information corresponding to the analysis result can be downloaded. The processor 740 may download information corresponding to an analysis result according to the selected file format.

8 is a flowchart illustrating a method of operating the server 20 according to one embodiment.

Referring to FIG. 8 , in step S810, the server 20 may obtain medical papers. For example, a user may upload a file corresponding to a medical paper onto a system provided by the server 20 .

In step S820, the server 20 may create an analysis tool for statistical analysis of the medical paper based on the original text described in the medical paper. For example, the server 20 generates an analysis tool that performs statistical analysis corresponding to the research method described in the medical paper based on the title, original medical data, original graph, original text table, and original text described in the medical paper. can do. A method of generating an analysis tool will be described with reference to FIG. 9 .

In step S830, the server 20 may obtain medical data and analysis option information different from the original medical data described in the medical paper. For example, the server 20 may receive medical data different from original medical data from the electronic device 10 . Here, medical data different from the original medical data may refer to data having a different source from the original medical data. Attributes of the medical data may be the same as attributes of the original medical data.

For example, the server 20 may receive, from the electronic device 10 , analysis option information indicating condition information to be considered for performing analysis of medical data in the analysis tool. For example, the analysis option information may include at least one parameter used for statistical analysis and information for setting a value of the at least one parameter.

In step S840, the server 20 may analyze the medical data based on the analysis option information. In step S850, the server 20 may provide an analysis result of the medical data.

For example, the server 20 may provide, to the electronic device 10, a user interface for setting analysis option information and a screen displaying analysis results of medical data together. In this case, the server 20 may receive changed analysis option information from the electronic device 10 and provide the electronic device 10 with an analysis result of medical data according to the changed analysis option information.

For example, the server 20 may analyze medical data corresponding to a plurality of groups based on analysis option information for each of a plurality of groups classified according to attributes of a plurality of samples. The server 20 may provide the electronic device 10 with an analysis result corresponding to a group satisfying a preset condition, based on a result of analyzing medical data corresponding to a plurality of groups. For example, the preset condition may be a condition that satisfies a numerical value that can be determined as a meaningful result in a medical paper.

For example, if the original medical data and the medical data input by the user are not mapped, the server 20 may transmit a message requesting supplementation or change of the medical data to the electronic device 10 .

For example, if there is a request for information corresponding to an analysis result of medical data from the electronic device 10 , the server 20 may transmit information corresponding to the analysis result to the electronic device 10 .

9 is a diagram for explaining a process of generating an analysis tool based on a result of learning medical papers in the server 20 according to an embodiment.

Referring to FIG. 9 , in step S910, the server 20 selects at least one of the title, original medical data, original text graph, original text table, and original text described in the medical thesis 901 from the medical thesis 901 uploaded by the user. information can be extracted.

In step S920, the server 20 may generate an analysis tool for statistical analysis of medical papers based on a result of learning at least one piece of information.

For example, the server 20 may learn at least one piece of information extracted from the medical paper 901 . For example, the server 20 determines original medical data used to derive a text graph or text table representing the research method of the medical thesis 901 as an input value, and the text graph or original text representing the research method. A table can be determined as an output value. The server 20 may learn input values and output values, and based on the learned results, create an analysis tool 930 that performs statistical analysis on the original medical data.

10 is a block diagram showing the configuration of the server 20 according to one embodiment.

Referring to FIG. 10 , the server 20 may include a communication device 1010, a memory 1020, and a processor 1030. However, not all illustrated components are essential components. The server 20 may be implemented with more components than those shown, and the server 20 may be implemented with fewer components. Hereinafter, we look at the above components. The server 20 shown in FIG. 10 may correspond identically to the server 20 described in FIGS. 1 to 9

The communication device 1010 may communicate with an external device. For example, the communication device 1010 may communicate with an external device by being connected to a network by wire or wirelessly. Here, the external device may be the electronic device 10 .

The communication device 1010 may include a communication module supporting one of various wired/wireless communication methods. The communication module may be a short-distance communication module or a wired communication module.

The memory 1020 may include a flash memory type, a hard disk type, a multimedia card micro type, a card type memory (SD, XD memory, etc.), RAM (RAM; Random Access Memory), SRAM (Static Random Access Memory), ROM (Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), PROM (Programmable Read-Only Memory) among magnetic memory, magnetic disk, and optical disk It may include at least one type of storage medium.

The memory 1020 includes at least one program for executing, in the server 20, a method of generating an analysis tool providing statistical analysis of medical papers and providing analysis results based on provided medical data and analysis option information. can be saved At least one program stored in the memory 1020 may be classified into a plurality of modules according to functions.

The processor 1030 controls the overall operation of the server 20 and may include at least one processor such as a CPU. The processor 1030 may include at least one specialized processor corresponding to each function or may be an integrated processor.

The processor 1030 may execute a program stored in the memory 1020, read data or a file stored in the memory 1020, or store a new file in the memory 1020. Also, the processor 1030 may execute instructions stored in the memory 1020 .

The processor 1030 may obtain medical papers. The processor 1030 may create an analysis tool that performs statistical analysis of the medical paper based on the original text described in the medical paper. For example, the processor 1030 generates an analysis tool that performs statistical analysis corresponding to the research method described in the medical paper based on the title, original medical data, original graph, original text table, and original text described in the medical paper. can do.

For example, the processor 1030 may extract at least one information of a title, original medical data, original text graph, original text table, and original text described in a medical article from a medical article uploaded by a user.

The processor 1030 may generate an analysis tool for statistical analysis of medical papers based on a result of learning at least one piece of information.

For example, the processor 1030 may learn at least one piece of information extracted from medical papers. For example, the processor 1030 determines original medical data used to derive a text graph or text table representing a research method of a medical paper as an input value, and uses the text graph or text table representing a research method as an output value. can be determined by The processor 1030 may learn an input value and an output value, and based on the learned result, create an analysis tool that performs statistical analysis on the original medical data.

The processor 1030 may obtain medical data and analysis option information that are different from the original medical data described in medical papers. For example, the server 20 may receive medical data different from original medical data from the electronic device 10 . Here, medical data different from the original medical data may refer to data having a different source from the original medical data. Attributes of the medical data may be the same as attributes of the original medical data.

For example, the processor 1030 may receive, from the electronic device 10 , analysis option information indicating condition information to be considered for performing analysis of medical data in the analysis tool. For example, the analysis option information may include at least one parameter used for statistical analysis and information for setting a value of the at least one parameter.

The processor 1030 may analyze the medical data based on the analysis option information. The processor 1030 may provide an analysis result of the medical data to the electronic device 10 through the communication device 1010 .

For example, the processor 1030 may provide, to the electronic device 10, a user interface for setting analysis option information and a screen displaying analysis results of medical data together. In this case, the processor 1030 may receive changed analysis option information from the electronic device 10 and provide an analysis result of medical data according to the changed analysis option information to the electronic device 10 .

For example, the processor 1030 may analyze medical data corresponding to a plurality of groups based on analysis option information for each of a plurality of groups classified according to attributes of a plurality of samples. The processor 1030 may provide the electronic device 10 with an analysis result corresponding to a group satisfying a preset condition, based on a result of analyzing medical data corresponding to a plurality of groups. For example, the preset condition may be a condition that satisfies a numerical value that can be determined as a meaningful result in a medical paper.

For example, if the original medical data and the medical data input by the user are not mapped, the processor 1030 sends a message requesting supplementation or change of the medical data to the electronic device 10 through the communication device 1010. can transmit.

For example, if there is a request for information corresponding to the analysis result of the medical data from the electronic device 10, the processor 1030 transmits information corresponding to the analysis result to the electronic device 10 through the communication device 1010. can be sent to

The electronic device 10 and server 20 described in this disclosure may be implemented as hardware components, software components, and/or a combination of hardware components and software components. In addition, the present disclosure may be provided in the form of a computer program stored in a computer readable storage medium to perform a method of operating a server and an electronic device. In addition, the present disclosure can be written as a program that can be executed on a computer, and can be implemented in a general-purpose digital computer that operates such a program using a computer-readable storage medium.

Such computer-readable storage media include read-only memory (ROM), random-access memory (RAM), flash memory, CD-ROMs, CD-Rs, CD+Rs, CD-RWs, CD+RWs, DVD-ROMs , DVD-Rs, DVD+Rs, DVD-RWs, DVD+RWs, DVD-RAMs, BD-ROMs, BD-Rs, BD-R LTHs, BD-REs, magnetic tapes, floppy disks, magneto-optical data storage devices, It can be an optical data storage device, hard disk, solid-state disk (SSD), which can store instructions or software, related data, data files, and data structures stored on a processor or computer so that the processor or computer can execute the instructions. It can be any device capable of providing instructions or software, associated data, data files, and data structures.

Although the embodiments have been described in detail above, the scope of the present invention is not limited thereto, and various modifications and improvements of those skilled in the art using the basic concept of the present invention defined in the following claims The form also belongs to the scope of the present invention.

Claims

Accessing a system providing a customized statistical analysis service for medical papers;

uploading a first medical article into the system;

providing an analysis tool for performing a statistical analysis corresponding to a research method of the first medical thesis based on original text information described in the first medical thesis;

receiving analysis option information through the analysis tool; and

and analyzing medical data based on the analysis option information and displaying a result of analyzing the medical data.
According to claim 1,

The step of receiving the analysis option information,

and displaying a user interface for setting information of at least one parameter used for the statistical analysis.
According to claim 2,

The information of the at least one parameter,

A method of operating an electronic device including information of parameters corresponding to each of the original text graph and text table described in the first medical paper.
According to claim 1,

The step of receiving the analysis option information,

A method of operating an electronic device comprising receiving an input for selecting a text graph or text table described in the first medical paper as an analysis result target.
According to claim 4,

Receiving an input for selecting a text graph or text table described in the first medical paper as an analysis result target,

receiving an input for selecting an image corresponding to an object as a result of the selected analysis; and

and receiving an input for setting a region corresponding to the selected analysis result target.
According to claim 1,

The step of receiving the analysis option information,

receiving medical data different from the original medical data described in the first medical paper;

recommending analysis option information of at least one parameter used for the statistical analysis based on a result of comparing the original medical data and the medical data; and

Based on a recommendation result, the method of operating the electronic device comprising the step of receiving the analysis option information.
According to claim 1,

Analyzing medical data based on the analysis option information,

receiving medical data different from the original medical data described in the first medical paper;

checking whether at least one parameter set according to the analysis option information is mapped to the medical data; and

and displaying a message requesting supplementation or change of the medical data if the medical data is not mapped to the at least one parameter.
According to claim 1,

The step of analyzing medical data based on the analysis option information and displaying the analysis result of the medical data,

analyzing medical data corresponding to the plurality of groups based on the analysis option information for each of a plurality of groups classified according to attributes of the plurality of samples; and

and displaying an analysis result corresponding to a group satisfying a preset condition based on a result of analyzing the medical data corresponding to the plurality of groups.
According to claim 1,

Displaying the analysis result of the medical data,

and displaying a user interface for setting the analysis option information and an analysis result of the medical data.
According to claim 1,

The method of operating the electronic device further comprising the step of downloading information corresponding to the analysis result of the medical data from the system.
communication devices;

processor;

user interface devices; and

a memory for storing instructions executable by the processor;

The processor, by executing the instructions,

access to a system that provides customized statistical analysis services for medical papers;

uploading a first medical treatise into the system;

Providing an analysis tool for performing statistical analysis corresponding to the research method of the first medical paper based on the original information described in the first medical paper through the user interface device;

Receiving analysis option information through the analysis tool through the user interface device;

Analyzing medical data based on the analysis option information;

An electronic device that displays an analysis result of the medical data through the user interface device.
According to claim 11,

The processor, by executing the instructions,

An electronic device displaying a user interface for setting information of at least one parameter used for the statistical analysis through the user interface device.
According to claim 11,

The processor, by executing the instructions,

Receiving an input for selecting a text graph or text table described in the first medical paper as an analysis result target;

Acquiring medical data different from the original medical data described in the first medical paper;

An electronic device that analyzes the medical data based on the object as a result of the analysis.
communication device;

processor; and

a memory for storing instructions executable by the processor;

The processor, by executing the instructions,

obtain a medical dissertation;

Based on the original text described in the medical paper, an analysis tool for performing statistical analysis of the medical paper is created,

Acquiring medical data and analysis option information different from the original information described in the medical paper;

Analyzing the medical data based on the analysis option information;

A server that provides analysis results to the medical data.
According to claim 14,

The processor, by executing the instructions,

Extracting at least one information of a title, original medical data, original text graph, original text table, and original text described in the medical paper from the medical paper;

Based on a result of learning the at least one piece of information, a server that generates an analysis tool for providing statistical analysis of the medical paper.