CN112447285A - Decision logic representation method and device based on mind map - Google Patents
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Abstract
The invention discloses a method and a device for expressing decision logic based on a mind map, which comprises the following steps: identifying a thinking guide graph to obtain a corresponding structural description model; generating a decision rule description language corresponding to a decision logic system according to the structural description model; inputting the decision rule description language into the decision logic system to configure a decision flow of the decision logic system; the thinking guide graph is directly used as system input, and the configuration of the decision flow is automatically completed by identifying and analyzing the thinking guide graph, so that a doctor avoids the complex process of learning and being familiar with the operation of a decision logic system, and the working efficiency is improved.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a decision logic representation method and device based on a mind map.
Background
With the extended application of various leading-edge information technologies in medicine, many advances and optimizations are brought to the current medical level. For example, some decision logic systems specially developed for the medical field can help doctors analyze and judge clinical data, and complete part of a programmed and modeled thinking process, even part of diagnosis automatically, instead of the doctors. The decision logic system can effectively assist doctors to work, greatly improves diagnosis and treatment efficiency, and saves precious time for the doctors.
In the prior art, if the decision logic system is required to perform specific information processing for a doctor, the decision flow of the system must be manually configured in advance, and the system can complete information processing in a manner required by the doctor. However, the configuration process of the system is difficult to operate because the architecture of the system is strict and complex, and the system needs to be learned and understood in enough time and can be completed after being familiar with the operation.
Therefore, the configuration method of the decision logic system needs to be mastered, and a great burden is also brought to a doctor. At present, a doctor cannot complete the configuration of the processing flow of the decision logic system in a simple, efficient and easy-to-operate mode.
Disclosure of Invention
The invention provides a decision logic representation method and device based on a mind map, which directly uses the mind map as system input and automatically completes the configuration of a corresponding processing flow based on the mind map.
In a first aspect, the present invention provides a method for representing decision logic based on a mind map, comprising:
identifying a thinking guide graph to obtain a corresponding structural description model;
generating a decision rule description language corresponding to a decision logic system according to the structural description model;
and inputting the decision rule description language into the decision logic system to configure a decision flow of the decision logic system.
Preferably, the mind map includes condition nodes and behavior nodes; the recognizing the mind map and obtaining the corresponding structural description model comprises the following steps:
identifying a thinking guide graph to obtain process condition information included by the condition nodes and process behavior information included by the behavior nodes;
and obtaining a corresponding structural description model according to the process condition information and the process behavior information.
Preferably, the obtaining of the process condition information included in the condition node includes:
obtaining the operation condition included in the condition node as the process condition information;
and/or obtaining the reference condition included by the condition node as the process condition information.
Preferably, the recognizing the mind map and obtaining the process condition information and the process behavior information includes:
and identifying a markup language file corresponding to the thinking guide graph, and obtaining the process condition information and the process behavior information according to the markup language file.
Preferably, the recognizing the mind map and obtaining the process condition information and the process behavior information includes:
and identifying the mind map based on image analysis to obtain the process condition information and the process behavior information.
Preferably, the generating a decision rule description language of a corresponding decision logic system according to the structural description model includes:
and analyzing the structural description model according to a preset analysis scheme matched with the decision logic system to generate a decision rule description language corresponding to the decision logic system.
Preferably, the method further comprises the following steps:
and inputting information to be processed to the decision logic system so that the decision logic system processes the information to be processed according to the configured decision flow.
In a second aspect, the present invention provides a thinking-graph-based decision logic representation apparatus, including:
the map recognizing module is used for recognizing the thinking guide map to obtain a corresponding structural description model;
the analysis module is used for generating a decision rule description language corresponding to the decision logic system according to the structural description model;
and the configuration module is used for inputting the decision rule description language into the decision logic system so as to configure the decision flow of the decision logic system.
In a third aspect, the invention provides a readable medium comprising executable instructions, which when executed by a processor of an electronic device, perform the method according to any of the first aspect.
In a fourth aspect, the present invention provides an electronic device, comprising a processor and a memory storing execution instructions, wherein when the processor executes the execution instructions stored in the memory, the processor performs the method according to any one of the first aspect.
The invention provides a decision logic representation method and device based on a mind map, which directly uses the mind map as system input and automatically completes the configuration of a decision flow by identifying and analyzing the mind map, so that a doctor avoids the complex process of learning and familiar operation of a decision logic system and improves the working efficiency.
Further effects of the above-mentioned unconventional preferred modes will be described below in conjunction with specific embodiments.
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In order to more clearly illustrate the embodiments or the prior art solutions of the present invention, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments described in the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive labor.
FIG. 1 is a schematic flow chart of a method for presenting decision logic based on a mind map according to an embodiment of the present invention;
FIG. 2 is a diagram illustrating a mind map based decision logic representation according to an embodiment of the present invention;
FIG. 3 is a flow chart of another method for presenting decision logic based on mind maps according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a decision logic representation apparatus based on a mind map according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail and completely with reference to the following embodiments and accompanying drawings. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As is known from the foregoing, some decision logic systems specially developed for the medical field can help doctors analyze and judge clinical data, and complete part of programmed and modeled thinking process, or even complete part of diagnosis automatically, instead of the doctors. The decision logic system can realize functions such as helping patients to finish triage by themselves before seeing a doctor, guiding the patients to select corresponding department registration, helping doctors to analyze various test data, helping doctors to finish diagnosis and recommend medication, and the like. The decision logic system can effectively assist doctors to work, greatly improves diagnosis and treatment efficiency, and saves precious time for the doctors.
However, if the decision logic system is required to perform specific information processing for a doctor, the decision flow of the system must be manually configured in advance. In practical situations, the configuration process is difficult to operate, and the system needs to be learned and understood after a sufficient period of time and become familiar with the operation. Learning system operation also places a significant burden on the physician.
Therefore, in the invention, the direct mind map is directly used as the system input, and the configuration of the corresponding processing flow is automatically completed based on the mind map. Referring to fig. 1, a specific embodiment of a method for presenting decision logic based on mind map according to the present invention is shown. The method in this embodiment includes the following steps:
The thinking guide graph is a common schematic diagram and can better embody the process of abstract thinking. Referring to fig. 2, a schematic diagram of the mind map in this embodiment is shown. The thought chart of fig. 2 shows a thought process for determining medication use by a doctor according to the condition of a patient. The thinking process is relatively more patterned, so it is considered herein that the thinking process can be performed by the decision logic system instead of the doctor, so as to improve the working efficiency of the doctor.
If the decision logic system needs to complete the "thinking process", a decision flow corresponding to the "thinking process" needs to be configured into the decision logic system so that the decision logic system can execute according to the flow.
Currently, there are many common software tools for making mind maps in the market, which usually have good operability. Learning and making mind maps is a simple and easy process for a physician to implement. Alternatively, most physicians themselves are skilled in making mind maps. Therefore, according to the method of the embodiment, the doctor can complete the configuration of the decision flow only by directly inputting the thinking guide diagram into the decision logic system, thereby greatly facilitating the operation of the doctor.
Two types of nodes, namely conditional nodes and behavioral nodes, are typically included in the thought graph. The diamond shaped nodes in fig. 2 represent the conditional nodes. The condition node is used for judging and analyzing data through specific analysis conditions. While the circle nodes in fig. 2 represent behavior nodes. The behavior node has the function of reflecting the judgment and analysis results of the condition node and corresponding subsequent behaviors. Furthermore, there are connection lines between various nodes that represent their logical relationship. In addition the end of each case will lead to the corresponding result.
As shown in fig. 2, the meaning of the condition node 201 is to determine whether or not certain patient blood pressure data satisfies the condition a. The judgment result of the conditional node 201 is a binary result, which only includes two cases, yes or no. Namely, the corresponding action node 221 (representing the judgment result as "yes") and the action node 222 (representing the judgment result as "no"). The conditional node 203 is further executed after the action node 221 according to the logical relationship embodied by the connecting line. The meaning of the condition node 203 is to determine in which age interval the age data of the patient is. The judgment result of the condition node 203 is a multivariate result, which corresponds to 4 different cases in fig. 2. In each case there is a respective result, i.e. the recommended medication.
By recognizing the meaning of the thought map, a structural description model which can embody the thought process can be obtained. Specifically, the process condition information included in the condition node and the process behavior information included in the behavior node may be obtained; and obtaining a corresponding structural description model according to the process condition information and the process behavior information.
The process condition information included in the condition node may specifically be a specific analysis condition under which the condition node performs analysis and judgment, and may also be referred to as a node value of the condition node. For example, for the condition node 201, the flow condition information is "whether or not the blood pressure data satisfies the condition a".
The flow behavior information included in the behavior node may specifically be a result of the judgment and analysis, and a corresponding subsequent behavior, which may also be referred to as a node value of the behavior node. For example, for the behavior node 221, the flow behavior information is "yes" as a determination result.
And combining the process condition information and the process behavior information according to the logical relationship in the thinking map to obtain a structured description model reflecting the thinking process in the thinking map. And the structured description model also means a decision flow that the decision logic system will subsequently configure and execute.
For example, in this embodiment, the structural description model can be obtained according to the "thinking process" route of "conditional node 201-behavior node 221-conditional node 203-behavior node 241", and specifically represented as follows:
[ (blood pressure data satisfies condition A) - (Yes) ] - [ (age interval) - (interval 1) ] - [ recommended drug k ]
It is understood that a structural description model in this embodiment only represents a "thinking process" route, i.e., a part of the thinking map. To embody the whole content of the mind map, a plurality of structural description models are generally required to be commonly embodied.
And 102, generating a decision rule description language corresponding to the decision logic system according to the structural description model.
Since different decision logic systems, their infrastructure, and the programming language used by the underlying source code may all be different, their format requirements for the input content will also be different. After the structured description model is determined through the above steps, format conversion and adaptation are performed on the structured description model for a specific decision logic system, so as to generate a decision rule description language corresponding to the decision logic system.
In particular, the respective resolution scheme may be preset for the decision logic system. And then analyzing the structural description model according to the analysis scheme to generate a corresponding decision rule description language. The parsing scheme may be equivalent to a language parser existing in the prior art. The parsing and operation principle of the language parser is relatively mature, and is not described herein. In this embodiment, specific contents of the language parser are not limited, and specific functions of the language parser may be customized according to actual requirements in an application.
For example, according to a corresponding decision logic system, the structured description model can be converted into a configuration language of drools, and then the rule engine configuration is performed. Or if conditions and behavior codes of various languages can be generated directly according to the structural description model for the decision logic system to execute.
And inputting a decision rule description language corresponding to the decision logic system, so that the decision flow configuration of the decision logic system can be automatically completed. After the decision flow configuration is completed, the decision logic system can automatically analyze the clinical data of the patient to be tested according to the thinking process in the thinking diagram shown in fig. 2, continuously analyze the blood pressure data and the age interval, and then recommend corresponding medicines. Thereby assisting the physician in working.
According to the technical scheme, the method has the beneficial effects that: the thinking guide graph is directly used as the input aiming at the decision logic system, and the configuration of the decision flow is automatically completed by identifying and analyzing the thinking guide graph, so that a doctor avoids the complex process of learning and familiar operation of the decision logic system, and the working efficiency is improved.
Fig. 1 shows only a basic embodiment of the method of the present invention, and based on this, certain optimization and expansion can be performed, and other preferred embodiments of the method can also be obtained.
FIG. 3 shows another embodiment of the mind map-based decision logic representation method of the present invention. The present embodiment can be expanded by performing further detailed description on the basis of the foregoing embodiments. The method in this embodiment includes the following steps:
In this embodiment, the recognizing the mind map to obtain the process condition information included in the condition node and the process behavior information included in the behavior node may be specifically performed in two ways.
One mode is specifically as follows: and identifying a markup language file corresponding to the thinking guide graph, and obtaining the process condition information and the process behavior information according to the markup language file. The Markup Language file may be an xml file (Extensible Markup Language) generated in the process of making the mind map. The information included in each node of the thought map and the relationship between the nodes are described in detail in the xml file. Therefore, by analyzing the xml file, the thinking map can be identified.
The other mode is specifically as follows: and identifying the mind map based on image analysis to obtain the process condition information and the process behavior information. That is, the "visual image" displayed by the mind map is directly analyzed by the image analysis technology to extract the process condition information and the process behavior information. The specific technical means of the image analysis technology is not limited in this embodiment. All the related technologies capable of achieving similar effects can be combined in the whole scheme of the embodiment.
It should be further noted that, in this embodiment, the process condition information included in the condition node may be an operation condition included in the condition node itself, or a node value referred to as a condition node. As in the condition node 201 and the condition node 203 described above, the flow condition information is an operation condition included in the condition node itself. For some relatively simple calculation and judgment, such as basic addition, subtraction, multiplication and division operation, simple function operation, numerical judgment, classification and the like, the operation can be completed through the operation conditions included in the condition nodes.
However, in other cases, the specific analysis conditions under which the condition nodes are analyzed and judged are very complicated, and need to be completed by a specific calculation model, for example, by a calculation model obtained based on machine learning training, to complete comprehensive predictive analysis, etc. At this time, the condition node includes a reference condition, and in this embodiment, the reference condition is used as the flow condition information.
It will be appreciated that the reference condition will provide a calling interface that can be connected to the desired computational model. The calling interface may be set in a corresponding condition node when the mind map is manufactured. And the calling interface is still stored in the corresponding step of the flow until the configuration of the decision flow is finished based on the mind map. When the decision flow is actually executed, the corresponding calculation model can be called through the calling interface to analyze and calculate the data when the step is executed, and the calculation result is returned to the decision flow so as to continuously execute the subsequent steps.
And 302, obtaining a corresponding structural description model according to the process condition information and the process behavior information.
And 303, generating a decision rule description language corresponding to the decision logic system according to the structural description model.
After the decision logic system completes the configuration of the decision process, the process can automatically process the information to be processed only by inputting the information to be processed required by the process aiming at the decision logic system, and a corresponding result is obtained.
According to the technical solutions above, on the basis of the embodiment shown in fig. 1, the present embodiment further has the following beneficial effects: the detailed description identifies the thought-guiding graph to obtain the process condition information included by the condition nodes and the process behavior information included by the behavior nodes, and expands the related scheme of citing a calculation model to finish complex condition calculation, so that the process steps can finish complex analysis calculation, and the overall technical scheme of the method is more complete and more fully disclosed.
FIG. 4 is a block diagram illustrating an embodiment of a mind-graph based decision logic device according to the present invention. The apparatus of this embodiment is a physical apparatus for performing the methods described in fig. 1 and fig. 3. The technical solution is essentially the same as that in the above embodiment, and the corresponding description in the above embodiment is also applicable to this embodiment. The device in this embodiment includes:
and the map recognizing module 401 is configured to recognize the mind map to obtain a corresponding structural description model.
And the analysis module 402 is configured to generate a decision rule description language corresponding to the decision logic system according to the structural description model.
A configuration module 403, configured to input the decision rule description language into the decision logic system, so as to configure a decision flow of the decision logic system.
Fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention. On the hardware level, the electronic device comprises a processor and optionally an internal bus, a network interface and a memory. The Memory may include a Memory, such as a Random-Access Memory (RAM), and may further include a non-volatile Memory, such as at least 1 disk Memory. Of course, the electronic device may also include hardware required for other services.
The processor, the network interface, and the memory may be connected to each other via an internal bus, which may be an ISA (Industry standard architecture) bus, a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry standard architecture) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 5, but this does not indicate only one bus or one type of bus.
And the memory is used for storing the execution instruction. In particular, a computer program that can be executed by executing instructions. The memory may include both memory and non-volatile storage and provides execution instructions and data to the processor.
In a possible implementation manner, the processor reads corresponding execution instructions from the nonvolatile memory into the memory and then runs the corresponding execution instructions, and corresponding execution instructions can also be obtained from other devices, so as to form a decision logic representation device based on the mind map on a logic level. The processor executes the execution instructions stored in the memory to implement the thinking-graph-based decision logic representation method provided by any embodiment of the invention through the executed execution instructions.
The method performed by the mind map-based decision logic representing apparatus according to the embodiment of the present invention as shown in fig. 4 can be applied to or implemented by a processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The processor may be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor.
Embodiments of the present invention further provide a readable storage medium, which stores execution instructions, and when the stored execution instructions are executed by a processor of an electronic device, the electronic device can be caused to execute the method for representing decision logic based on a mind map provided in any embodiment of the present invention, and is specifically configured to execute the method shown in fig. 1 or fig. 3.
The electronic device described in the foregoing embodiments may be a computer.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects.
The embodiments of the present invention are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, as for the apparatus embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
It should also be noted that 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. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above description is only an example of the present invention, and is not intended to limit the present invention. Various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.
Claims (10)
1. A method for presenting decision logic based on a mind map, comprising:
identifying a thinking guide graph to obtain a corresponding structural description model;
generating a decision rule description language corresponding to a decision logic system according to the structural description model;
and inputting the decision rule description language into the decision logic system to configure a decision flow of the decision logic system.
2. The method of claim 1, wherein the mind map includes condition nodes and behavior nodes; the recognizing the mind map and obtaining the corresponding structural description model comprises the following steps:
identifying a thinking guide graph to obtain process condition information included by the condition nodes and process behavior information included by the behavior nodes;
and obtaining a corresponding structural description model according to the process condition information and the process behavior information.
3. The method of claim 2, wherein obtaining the process condition information included in the conditional node comprises:
obtaining the operation condition included in the condition node as the process condition information;
and/or obtaining the reference condition included by the condition node as the process condition information.
4. The method of claim 2, wherein the recognizing the mind map and obtaining the process condition information and the process behavior information comprises:
and identifying a markup language file corresponding to the thinking guide graph, and obtaining the process condition information and the process behavior information according to the markup language file.
5. The method of claim 2, wherein the recognizing the mind map and obtaining the process condition information and the process behavior information comprises:
and identifying the mind map based on image analysis to obtain the process condition information and the process behavior information.
6. The method of claim 1, wherein generating a decision rule description language for a corresponding decision logic system according to the structured description model comprises:
and analyzing the structural description model according to a preset analysis scheme matched with the decision logic system to generate a decision rule description language corresponding to the decision logic system.
7. The method according to any one of claims 1 to 6, further comprising:
and inputting information to be processed to the decision logic system so that the decision logic system processes the information to be processed according to the configured decision flow.
8. A mind-map based decision logic representation apparatus, comprising:
the map recognizing module is used for recognizing the thinking guide map to obtain a corresponding structural description model;
the analysis module is used for generating a decision rule description language corresponding to the decision logic system according to the structural description model;
and the configuration module is used for inputting the decision rule description language into the decision logic system so as to configure the decision flow of the decision logic system.
9. A readable medium comprising executable instructions which, when executed by a processor of an electronic device, cause the electronic device to perform the method of any of claims 1 to 7.
10. An electronic device comprising a processor and a memory storing execution instructions, the processor performing the method of any of claims 1-7 when the processor executes the execution instructions stored by the memory.
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| CN115131160A (en) * | 2022-08-30 | 2022-09-30 | 创智和宇信息技术股份有限公司 | Medical insurance information platform and method for configuring medical insurance policy based on planning tree |
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