CN113378554B

CN113378554B - Intelligent interaction method and system for medical information

Info

Publication number: CN113378554B
Application number: CN202110638142.0A
Authority: CN
Inventors: 黄葵; 李井锐; 王先知
Original assignee: Hunan Trasen Technology Co ltd
Current assignee: Hunan Trasen Technology Co ltd
Priority date: 2021-06-08
Filing date: 2021-06-08
Publication date: 2023-12-15
Anticipated expiration: 2041-06-08
Also published as: CN113378554A

Abstract

According to the method and the system for intelligent interaction of the medical information, provided by the application, the description content relevance between the description content of the sample medical information and the description content of the medical information of the key content to be selected is obtained, the key content to be selected is extracted from the key content to be selected, the first key content to be selected is obtained, the interaction content difference degree of the sample medical information and the first key content to be selected is determined according to each target medical information content, the interaction content difference degree is greater than the preset interaction content difference parameter from the first key content to be selected, the second key content to be selected is obtained, and the target interaction key content is determined according to the second key content to be selected. The target interaction scheme has the advantages that a large number of samples are not required to be adopted for verification, so that labor cost can be saved, the matching degree of the target interaction scheme to new data is high, the integrity of target interaction is improved, and the determination of the key content to be selected and the interaction of the first key content to be selected and the second key content to be selected are faster.

Description

Intelligent interaction method and system for medical information

Technical Field

The application relates to the technical field of information interaction, in particular to a method and a system for intelligent interaction of medical information.

Background

With the continued development of artificial intelligence, artificial intelligence is a very broad science that consists of diverse fields, and one of the main objectives of research through artificial intelligence is to enable machines to cope with some complex tasks that normally require human intelligence to accomplish. But the understanding of this "complex work" is different from time to time, from person to person.

In the medical information interaction technology, the interaction efficiency can be greatly improved by utilizing artificial intelligence, so that the time cost can be effectively saved, and the technology related to intelligent interaction has some defects.

Disclosure of Invention

In view of the above, the application provides a method and a system for intelligent interaction of medical information.

In a first aspect, a method for intelligent interaction of medical information is provided, including:

sample medical information of target medical information content to be processed and medical information interaction is carried out on the basis of at least two medical information interaction modes, and the key content to be selected of the target medical information content in the medical information to be processed is determined, wherein the category of the target medical information content is at least one;

respectively carrying out medical information description content identification on corresponding sample medical information and key content to be selected according to each target medical information content to obtain description content of the sample medical information and description content of the key content to be selected;

Acquiring description content relevance between description content of sample medical information corresponding to the same target medical information content and description content of medical information of the to-be-selected key content, extracting the to-be-selected key content of which the description content relevance meets preset relevance parameters from the to-be-selected key content of the target medical information content, and obtaining first to-be-selected key content of each target medical information content;

for each target medical information content, determining the interactive content difference degree of the corresponding sample medical information and the medical information of the first key content to be selected;

extracting the to-be-selected key content of which the interaction content difference degree of the medical information is larger than the preset interaction content difference parameter from the first to-be-selected key content of each target medical information content to obtain second to-be-selected key content of each target medical information content;

and determining target interaction key contents of the target medical information contents according to the second key contents to be selected of each target medical information content.

Further, the sample medical information of the target medical information content to be processed and the medical information to be processed interact with each other based on at least two medical information interaction modes, and the determining of the key content to be selected of the target medical information content in the medical information to be processed includes:

Sample medical information of target medical information contents to be processed is subjected to substantial interaction with the medical information to be processed, and medical information key contents with successful substantial interaction of the target medical information contents in the medical information to be processed are determined and used as candidate key contents of the target medical information contents;

sample interaction is carried out on the sample medical information of the target medical information content to be processed and the medical information to be processed, and medical information key content of which sample interaction of each target medical information content in the medical information to be processed is successful is determined and used as the candidate key content of each target medical information content;

and carrying out description content point interaction on the sample medical information of the target medical information content to be processed and the medical information to be processed, and determining medical information key content with successful description content point interaction of each target medical information content in the medical information to be processed as the candidate key content of each target medical information content.

Further, the sample medical information of the target medical information content to be processed performs substantial interaction with the medical information to be processed, determines medical information key content of which the substantial interaction of each target medical information content in the medical information to be processed is successful, and further includes, before serving as the candidate key content of each target medical information content:

Acquiring a medical information content main label of sample medical information aiming at the sample medical information of target medical information content to be processed;

and if the main label of the medical information content is a preset non-essential content label, not loading the sample medical information of the target medical information content to be processed aiming at the sample medical information of the target medical information content, and performing essential interaction with the medical information to be processed.

Further, the sample medical information of the target medical information content to be processed and the sample medical information to be processed are subjected to sample interaction, and medical information key content of each target medical information content in the medical information to be processed, which is successfully interacted, is determined as the candidate key content of each target medical information content, and the method comprises the following steps:

respectively classifying the sample medical information of the target medical information content to be processed and the medical information to be processed into medical information categories;

sample interaction is carried out on the divided sample medical information and the divided medical information to be processed, and the key content to be selected of the target medical information content in the medical information to be processed is determined according to the interaction result.

Further, for each target medical information content, respectively performing medical information description content identification on corresponding sample medical information and key content to be selected to obtain description content of the sample medical information and description content of the key content to be selected, including:

for each target medical information content, carrying out identification operation on the corresponding sample medical information to obtain identification description content of the sample medical information as description content of the sample medical information;

and aiming at each target medical information content, carrying out identification operation on the corresponding key content to be selected, and obtaining identification description content of the key content to be selected as the medical information description content of the key content to be selected.

Further, the determining, for each target medical information content, the interactive content difference degree of the corresponding sample medical information and the medical information of the first key content to be selected includes:

determining the first interactive content average word number of the corresponding sample medical information and the second interactive content average word number of the corresponding first to-be-selected key content medical information according to each target medical information content;

and calculating the difference value of the average word number of the first interactive content and the average word number of the second interactive content to obtain the interactive content difference degree of the sample medical information of the target medical information content and the medical information of the first key content to be selected.

Further, the determining, for each target medical information content, the first interactive content average word number of the corresponding sample medical information and the second interactive content average word number of the corresponding key content medical information to be selected includes:

if the number of words of sample medical information or corresponding first key content of target medical information content is smaller than the preset number of words, dividing the sample medical information and the first key content into medical information blocks with equal categories according to the same dividing mode, and obtaining sample sub-medical information of the sample medical information and first sub-key content of the first key content;

calculating the average word number of the first interactive contents of each sample sub-medical information and the average word number of the second interactive contents of each first sub-key content to be selected;

the calculating the difference value between the average word number of the first interactive content and the average word number of the second interactive content to obtain the interactive content difference degree between the sample medical information of the target medical information content and the medical information of the first key content to be selected includes: calculating the difference value of the average word numbers of the interactive contents of the sample sub-medical information of the corresponding interactive object in the sample medical information and the key contents to be selected and the first sub-key contents to be selected based on the average word numbers of the first interactive contents and the second interactive contents;

Extracting the to-be-selected key content of which the interaction content difference degree of the medical information is larger than the preset interaction content difference parameter from the first to-be-selected key content of each target medical information content to obtain the second to-be-selected key content of each target medical information content, wherein the method comprises the following steps: and extracting at least one key content to be selected, of which the difference value of the average word number of the interactive content is larger than a preset difference parameter, from the first key content to be selected of each target medical information content, and obtaining second key content to be selected of each target medical information content.

Further, the determining the target interaction key content of the target medical information content according to the second candidate key content of each target medical information content includes:

if the second key content to be selected and other second key content to be selected do not have repetition, determining that the second key content to be selected is the target interaction key content of the corresponding target medical information content;

if the second key content to be selected is repeated with other second key content to be selected, determining the minimum unit key content containing the repeated second key content to be selected from the medical information to be processed, and determining sample medical information of target medical information content corresponding to the minimum unit key content;

The minimum unit key content is interacted with sample medical information of target medical information content corresponding to the minimum unit key content;

and determining a target medical information content which finally corresponds to the minimum unit key content and target interaction key content of the target medical information content in the minimum unit key content according to the interaction result.

Further, the interaction of the minimum unit key content with the sample medical information of the target medical information content corresponding to the minimum unit key content includes:

if the categories of the target medical information content corresponding to the minimum unit key content are at least two, respectively carrying out sample interaction on the minimum unit key content and sample medical information of each corresponding target medical information content to obtain sample interaction key content which is interacted with each sample medical information in the minimum unit key content and a first sample interaction evaluation of the sample medical information and the sample interaction key content, wherein the first sample interaction evaluation is used for representing interaction modes of the sample medical information and the sample interaction key content;

And determining a target medical information content which finally corresponds to the minimum unit key content and target interaction key content of the target medical information content in the minimum unit key content according to the interaction result, wherein the target interaction key content comprises the following components: and determining sample medical information and sample interaction key content with the highest interaction mode according to the first sample interaction evaluation, wherein the sample medical information and the sample interaction key content are respectively used as target medical information content which finally corresponds to the minimum unit key content and target interaction key content of the target medical information content in the minimum unit key content.

In a second aspect, a system for intelligent interaction of medical information is provided, comprising a processor and a memory in communication with each other, the processor being adapted to read a computer program from the memory and execute the computer program to implement the method as described above.

According to the method and the system for intelligent interaction of the medical information, sample medical information of target medical information content to be processed and the medical information to be processed can be interacted on the basis of at least two medical information interaction modes, the key content to be selected of the target medical information content in the medical information to be processed is determined, the category of the target medical information content is at least one, medical information description content identification is respectively carried out on the corresponding sample medical information and the key content to be selected aiming at each target medical information content, the description content of the sample medical information and the medical information description content of the key content to be selected are obtained, the description content relevance between the description content of the sample medical information and the description content of the key content to be selected corresponding to the same target medical information content is obtained, the key content to be selected of which the description content relevance meets preset relevance parameters is extracted from the key content to be selected of the target medical information content to be selected, the interaction degree of the medical information of each target medical information content to be selected is determined, the medical information of the corresponding sample medical information and the first key content to be selected is different from the medical information content to be selected of each target medical information content to be processed, the first key content to be selected is obtained, the first key content to be selected of the target medical information content to be selected is different from the medical information to be selected corresponding to the first key content to be selected, and the first key content to be selected is different from the medical information to be selected, and the first key content to be selected has a great relevance parameter to be selected. Therefore, a large number of samples are not required to be adopted for verification, so that labor cost can be saved, the matching degree of the target interaction scheme to new data is high, the integrity of target interaction is improved, and the determination of the key content to be selected and the interaction of the first key content to be selected and the second key content to be selected are faster.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a flowchart of a method for intelligent interaction of medical information according to an embodiment of the present application.

Fig. 2 is a block diagram of a device for intelligent interaction of medical information according to an embodiment of the present application.

Fig. 3 is a schematic diagram of a system for intelligent interaction of medical information according to an embodiment of the present application.

Detailed Description

In order to better understand the above technical solutions, the following detailed description of the technical solutions of the present application is made by using the accompanying drawings and specific embodiments, and it should be understood that the detailed descriptions of the embodiments and the embodiments of the present application are detailed descriptions of the technical solutions of the present application, and not limiting the technical solutions of the present application, and the embodiments and the technical descriptions of the embodiments of the present application may be combined with each other without conflict.

Referring to fig. 1, a method for intelligent interaction of medical information is shown, which may include the following steps 100-600.

Step 100, carrying out medical information interaction between sample medical information of target medical information content to be processed and the medical information to be processed based on at least two medical information interaction modes, and determining the key content to be selected of the target medical information content in the medical information to be processed.

For example, the target medical information content is of at least one category.

Step 200, respectively carrying out medical information description content identification on the corresponding sample medical information and the key content to be selected according to each target medical information content to obtain description content of the sample medical information and description content of the key content to be selected.

For example, the target medical information content represents a patient's historical illness condition.

Step 300, obtaining description content relevance between description content of sample medical information corresponding to the same target medical information content and description content of medical information of the candidate key content, extracting the candidate key content of which the description content relevance meets preset relevance parameters from the candidate key content of the target medical information content, and obtaining first candidate key content of each target medical information content.

For example, the first candidate key content represents medical interaction information that meets the interaction requirement.

Step 400, for each target medical information content, determining the interactive content difference degree of the corresponding sample medical information and the medical information of the first key content to be selected.

And 500, extracting the key contents to be selected, of which the interactive content difference degree is larger than the preset interactive content difference parameter, from the first key contents to be selected of each target medical information content, and obtaining the second key contents to be selected of each target medical information content.

For example, the second candidate key content represents key medical interaction content extracted from the first candidate key content.

Step 600, determining target interaction key content of each target medical information content according to the second candidate key content of the target medical information content.

For example, the target interaction key content represents a feature of the medical information intelligent interaction.

It may be understood that when the technical solution described in the above step 100-step 600 is executed, the sample medical information of the target medical information content to be processed and the medical information to be processed may be interacted with each other based on at least two medical information interaction modes, so as to determine the candidate key content of the target medical information content in the medical information to be processed, where the category of the target medical information content is at least one, for each target medical information content, the medical information description content identification is performed on the corresponding sample medical information and the candidate key content, so as to obtain the description content of the sample medical information and the medical information description content of the candidate key content, the description content relevance between the description content of the sample medical information and the description content of the candidate key content corresponding to the same target medical information content is obtained, the candidate key content of which the description content relevance satisfies the preset relevance parameter is extracted from the candidate key content of the target medical information content, so as to obtain the first candidate key content of each target medical information content, for each target medical information content, the interaction difference degree of the corresponding sample medical information and the medical information of the first candidate key content is determined, and the first candidate key content is set according to the first candidate key content of each target medical information content, and the first candidate content is set, and the first candidate content of the first candidate content is different, and the first candidate content of the first candidate content is set, and the first and the target content and the first candidate content and the medical information content is different. Therefore, a large number of samples are not required to be adopted for verification, so that labor cost can be saved, the matching degree of the target interaction scheme to new data is high, the integrity of target interaction is improved, and the determination of the key content to be selected and the interaction of the first key content to be selected and the second key content to be selected are faster.

In an alternative embodiment, the inventor finds that when sample medical information of target medical information content to be processed and medical information to be processed are interacted based on at least two medical information interaction modes, there is a problem that the sample medical information of the target medical information content is inaccurate, so that it is difficult to accurately determine the candidate key content of the target medical information content in the medical information to be processed.

And q1, carrying out substantial interaction on sample medical information of target medical information contents to be processed and the medical information to be processed, and determining medical information key contents with successful substantial interaction of each target medical information content in the medical information to be processed as candidate key contents of each target medical information content.

And q2, carrying out sample interaction on the sample medical information of the target medical information content to be processed and the medical information to be processed, and determining medical information key content of which sample interaction of each target medical information content in the medical information to be processed is successful as the candidate key content of each target medical information content.

And q3, carrying out description content point interaction on the sample medical information of the target medical information content to be processed and the medical information to be processed, and determining medical information key content of which the description content point interaction of each target medical information content in the medical information to be processed is successful as the candidate key content of each target medical information content.

It can be understood that when the technical scheme described in the steps q1 to q3 is executed, the problem that the sample medical information of the target medical information content is inaccurate is avoided when the sample medical information of the target medical information content to be processed and the medical information to be processed interact with each other based on at least two medical information interaction modes, so that the key content to be selected of the target medical information content in the medical information to be processed can be accurately determined.

Based on the above basis, the sample medical information of the target medical information content to be processed performs substantial interaction with the medical information to be processed, determines the medical information key content of which the substantial interaction of each target medical information content in the medical information to be processed is successful, and may further comprise the technical scheme described in the following step w1 and step w2 before serving as the candidate key content of each target medical information content.

Step w1, acquiring a medical information content main tag of sample medical information aiming at the sample medical information of target medical information content to be processed.

And step w2, if the main label of the medical information content is a preset non-essential content label, not loading the sample medical information of the target medical information content to be processed aiming at the sample medical information of the target medical information content, and performing essential interaction with the medical information to be processed.

It can be appreciated that when the technical solutions described in the above steps w1 and w2 are executed, the accuracy of the step of performing substantial interaction on the medical information to be processed is improved by precisely obtaining the main label of the medical information content.

In an alternative embodiment, the inventor finds that when sample medical information of the target medical information content to be processed and sample interaction are performed on the sample medical information to be processed, there is a problem that classification of medical information is inaccurate, so that it is difficult to accurately determine medical information key content of each target medical information content in the medical information to be processed, which is the medical information key content to be selected of each target medical information content, and in order to improve the technical problem, the step q2 of performing sample interaction on the sample medical information of the target medical information content to be processed and the step of determining the medical information key content of each target medical information content in the medical information to be processed, which is the medical information key content to be selected of each target medical information content, may specifically include the following steps q2a1 and q2a 2.

And q2a1, respectively classifying the sample medical information of the target medical information content to be processed and the medical information to be processed.

And q2a2, carrying out sample interaction on the divided sample medical information and the divided medical information to be processed, and determining the key content to be selected of the target medical information content in the medical information to be processed according to the interaction result.

It can be understood that when the technical schemes described in the steps q2a1 and q2a2 are executed, the problem of inaccurate classification of medical information is avoided when sample interaction is performed on the sample medical information of the target medical information content to be processed and the medical information to be processed, so that the medical information key content of each target medical information content in the medical information to be processed, which is successfully interacted by the sample, can be accurately determined and used as the selected key content of each target medical information content.

In an alternative embodiment, the inventor finds that, when performing the medical information description content identification on the corresponding sample medical information and the key content to be selected for each target medical information content, there is a problem that the description content of the sample medical information is inaccurate, so that it is difficult to accurately obtain the description content of the sample medical information and the description content of the key content to be selected, and in order to improve the technical problem, in step 200, the step of performing the medical information description content identification on the corresponding sample medical information and the key content to be selected for each target medical information content, so as to obtain the description content of the sample medical information and the description content of the key content to be selected, which may specifically include the technical schemes described in the following steps e1 and e 2.

And e1, aiming at each target medical information content, carrying out identification operation on the corresponding sample medical information to obtain identification description content of the sample medical information as description content of the sample medical information.

And e2, aiming at each target medical information content, carrying out identification operation on the corresponding key content to be selected, and obtaining identification description content of the key content to be selected as the medical information description content of the key content to be selected.

It can be understood that when the technical schemes described in the steps e1 and e2 are executed, and the medical information description content identification is performed on the corresponding sample medical information and the key content to be selected respectively for each target medical information content, the problem that the description content of the sample medical information is inaccurate is avoided, so that the description content of the sample medical information and the description content of the medical information of the key content to be selected can be accurately obtained.

In an alternative embodiment, the inventor finds that, for each target medical information content, there is a problem that the average word number of the first interactive content and the average word number of the second interactive content are inaccurate, so that it is difficult to accurately determine the interactive content difference degree of the corresponding sample medical information and the medical information of the first key content, and in order to improve the technical problem, the step of determining the interactive content difference degree of the corresponding sample medical information and the medical information of the first key content described in step 400 for each target medical information content may specifically include the following technical solutions described in step r1 and step r 2.

And r1, determining the average word number of the first interactive content of the corresponding sample medical information and the average word number of the second interactive content of the corresponding first key content medical information according to each target medical information content.

And r2, calculating the difference value of the average word number of the first interactive content and the average word number of the second interactive content to obtain the interactive content difference degree of the sample medical information of the target medical information content and the medical information of the first key content to be selected.

It can be appreciated that when the technical solutions described in the above steps r1 and r2 are executed, the problem that the average word number of the first interactive content and the average word number of the second interactive content are inaccurate is avoided for each target medical information content, so that the interactive content difference degree of the corresponding sample medical information and the medical information of the first key content to be selected can be accurately determined.

In an alternative embodiment, the inventor finds that, for each target medical information content, there is a problem that the first sub-critical content to be selected is inaccurate, so that it is difficult to accurately determine the average word number of the first interactive content of the corresponding sample medical information and the average word number of the second interactive content of the medical information in the corresponding critical content to be selected, and in order to improve the technical problem, the step of determining, for each target medical information content, the average word number of the first interactive content of the corresponding sample medical information and the average word number of the second interactive content of the medical information in the corresponding critical content to be selected described in the step r1a 1-r 1a4 may specifically include the following technical scheme.

And step r1a1, dividing the sample medical information and the first key content to medical information blocks with equal categories according to the same dividing mode if the number of words of the sample medical information or the corresponding first key content of the target medical information content is smaller than the preset number of words, so as to obtain sample sub-medical information of the sample medical information and the first sub-key content of the first key content.

And r1a2, calculating the average word number of the first interactive contents of each sample sub-medical information and the average word number of the second interactive contents of each first sub-key content to be selected.

Step r1a3, calculating a difference value between the first interactive content average word number and the second interactive content average word number to obtain an interactive content difference degree between the sample medical information of the target medical information content and the medical information of the first key content to be selected, including: and calculating the difference value of the average word numbers of the interactive contents of the sample sub-medical information of the corresponding interactive object in the sample medical information and the key contents to be selected and the first sub-key contents to be selected based on the average word numbers of the first interactive contents and the average word numbers of the second interactive contents.

Step r1a4, extracting the to-be-selected key content with the interaction content difference degree of the medical information greater than the preset interaction content difference parameter from the first to-be-selected key content of each target medical information content to obtain the second to-be-selected key content of each target medical information content, including: and extracting at least one key content to be selected, of which the difference value of the average word number of the interactive content is larger than a preset difference parameter, from the first key content to be selected of each target medical information content, and obtaining second key content to be selected of each target medical information content.

It can be appreciated that when the technical schemes described in the steps r1a1 to r1a4 are executed, the problem that the first sub-key content to be selected is inaccurate is avoided for each target medical information content, so that the average word number of the first interactive content of the corresponding sample medical information and the average word number of the second interactive content of the medical information in the corresponding key content to be selected can be accurately determined.

In an alternative embodiment, the inventor finds that when the second candidate key content of each target medical information content is according to the second candidate key content, there is a problem that the target interaction key content of the target medical information content is inaccurate, so that it is difficult to accurately determine the target interaction key content of the target medical information content, and in order to improve the technical problem, the step of determining the target interaction key content of the target medical information content according to the second candidate key content of each target medical information content described in step 600 may specifically include the following technical scheme described in step y 1-step y 4.

And step y1, if the second key content to be selected and other second key content to be selected do not have repetition, determining that the second key content to be selected is the target interaction key content of the corresponding target medical information content.

And step y2, if the second key content to be selected is repeated with other second key content to be selected, determining the minimum unit key content containing the repeated second key content to be selected from the medical information to be processed, and determining the sample medical information of the target medical information content corresponding to the minimum unit key content.

And step y3, the minimum unit key content is interacted with the sample medical information of the target medical information content corresponding to the minimum unit key content.

And step y4, determining a target medical information content which finally corresponds to the minimum unit key content and target interaction key content of the target medical information content in the minimum unit key content according to the interaction result.

It can be understood that when the technical schemes described in the steps y1 to y4 are executed, the problem of inaccurate target interaction key content is avoided according to the second candidate key content of each target medical information content, so that the target interaction key content of the target medical information content can be accurately determined.

In an alternative embodiment, the inventor finds that when the minimum unit key content and the sample medical information of the target medical information content corresponding to the minimum unit key content are interacted, there is a problem that the minimum unit key content is inaccurate, so that it is difficult to accurately interact the sample medical information of the target medical information content, and in order to improve the technical problem, the step of interacting the minimum unit key content and the sample medical information of the target medical information content corresponding to the minimum unit key content described in the step y3 may specifically include the following technical schemes described in the steps y3a1 and y3a 2.

And step y3a1, if the categories of the target medical information content corresponding to the minimum unit key content are at least two, respectively carrying out sample interaction on the minimum unit key content and the sample medical information of each corresponding target medical information content to obtain sample interaction key content which is interacted with each sample medical information in the minimum unit key content, and a first sample interaction evaluation of the sample medical information and the sample interaction key content, wherein the first sample interaction evaluation is used for representing the interaction mode of the sample medical information and the sample interaction key content.

Step y3a2, determining a target medical information content corresponding to the minimum unit key content finally and a target interaction key content of the target medical information content in the minimum unit key content according to the interaction result, including: and determining sample medical information and sample interaction key content with the highest interaction mode according to the first sample interaction evaluation, wherein the sample medical information and the sample interaction key content are respectively used as target medical information content which finally corresponds to the minimum unit key content and target interaction key content of the target medical information content in the minimum unit key content.

It can be understood that when the technical solutions described in the steps y3a1 and y3a2 are executed, the problem that the minimum unit key content is inaccurate is avoided when the sample medical information of the target medical information content corresponding to the minimum unit key content is interacted, so that the sample medical information of the target medical information content can be interacted accurately.

Based on the above basis, before determining the target interaction key content of each target medical information content according to the second candidate key content of each target medical information content, the technical schemes described in the following step a1 and step a2 may be further included.

Step a1, carrying out sample interaction on corresponding sample medical information and second key contents to be selected according to each target medical information content, and determining second sample interaction evaluation of each second key content to be selected, wherein the second sample interaction evaluation is used for representing interaction modes of the sample medical information and the second key contents to be selected.

And a step a2 of extracting the second sample interaction evaluation from the second key content to be selected, wherein the second sample interaction evaluation satisfies the preset sample interaction score parameter, and obtaining updated second key content to be selected.

It can be appreciated that when the technical solutions described in the above step a1 and step a2 are executed, the accuracy of the updated second candidate key content is improved by accurately determining the second sample interaction evaluation of each second candidate key content.

On the basis of the above, please refer to fig. 2 in combination, there is provided a device 200 for intelligent interaction of medical information, applied to a data processing terminal, the device comprising:

the content determining module 210 is configured to perform medical information interaction with sample medical information of target medical information content to be processed based on at least two medical information interaction modes, and determine a key content to be selected of the target medical information content in the medical information to be processed, where a category of the target medical information content is at least one;

the content obtaining module 220 is configured to identify, for each target medical information content, medical information description content corresponding to the sample medical information and the key content to be selected, so as to obtain description content of the sample medical information and description content of the medical information of the key content to be selected;

a first content obtaining module 230, configured to obtain a description content association between a description content of sample medical information corresponding to the same target medical information content and a description content of a to-be-selected key content of medical information, extract, from the to-be-selected key content of the target medical information content, a to-be-selected key content whose description content association satisfies a preset association parameter, and obtain a first to-be-selected key content of each of the target medical information content;

A difference determining module 240, configured to determine, for each target medical information content, an interaction content difference degree of the corresponding sample medical information and the medical information of the first key content to be selected;

a second content obtaining module 250, configured to extract, from the first key content to be selected of each target medical information content, key content to be selected of the medical information, where the difference degree of the interactive content of the medical information is greater than the preset difference parameter of the interactive content, and obtain second key content to be selected of each target medical information content;

the target content determining module 260 is configured to determine target interaction key content of each target medical information content according to the second candidate key content of the target medical information content.

On the basis of the above, referring to fig. 3 in combination, a system 300 for intelligent interaction of medical information is shown, comprising a processor 310 and a memory 320 in communication with each other, the processor 310 being configured to read and execute a computer program from the memory 320 to implement the method described above.

On the basis of the above, there is also provided a computer readable storage medium on which a computer program stored which, when run, implements the above method.

In summary, based on the above scheme, sample medical information of target medical information content to be processed and medical information interaction with the medical information to be processed are performed based on at least two medical information interaction modes, and the candidate key content of the target medical information content in the medical information to be processed is determined, wherein the category of the target medical information content is at least one, medical information description content identification is performed on the corresponding sample medical information and the candidate key content respectively for each target medical information content, so as to obtain the description content of the sample medical information and the description content of the candidate medical information of the candidate key content, the description content relevance between the description content of the sample medical information and the description content of the candidate medical information corresponding to the same target medical information content is obtained, the candidate key content of which the description content relevance satisfies the preset relevance parameter is extracted from the candidate key content of the target medical information content, so as to obtain first candidate key content of each target medical information content, the interaction content difference degree of the corresponding sample medical information and the medical information of the first candidate key content is determined for each target medical information content, the first candidate key content difference degree of the corresponding to be greater than the preset relevance parameter is extracted from the first candidate key content of each target medical information content, and the second candidate key content is determined according to the first candidate key content of the first candidate content of the target medical information content. Therefore, a large number of samples are not required to be adopted for verification, so that labor cost can be saved, the matching degree of the target interaction scheme to new data is high, the integrity of target interaction is improved, and the determination of the key content to be selected and the interaction of the first key content to be selected and the second key content to be selected are faster.

It should be appreciated that the systems and modules thereof shown above may be implemented in a variety of ways. For example, in some embodiments, the system and its modules may be implemented in hardware, software, or a combination of software and hardware. Wherein the hardware portion may be implemented using dedicated logic; the software portions may then be stored in a memory and executed by a suitable instruction execution system, such as a microprocessor or special purpose design hardware. Those skilled in the art will appreciate that the methods and systems described above may be implemented using computer executable instructions and/or embodied in processor control code, such as provided on a carrier medium such as a magnetic disk, CD or DVD-ROM, a programmable memory such as read only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The system of the present application and its modules may be implemented not only with hardware circuitry such as very large scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, etc., or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., but also with software executed by various types of processors, for example, and with a combination of the above hardware circuitry and software (e.g., firmware).

It should be noted that, the advantages that may be generated by different embodiments may be different, and in different embodiments, the advantages that may be generated may be any one or a combination of several of the above, or any other possible advantages that may be obtained.

While the basic concepts have been described above, it will be apparent to those skilled in the art that the foregoing detailed disclosure is by way of example only and is not intended to be limiting. Although not explicitly described herein, various modifications, improvements and adaptations of the application may occur to one skilled in the art. Such modifications, improvements, and modifications are intended to be suggested within the present disclosure, and therefore, such modifications, improvements, and adaptations are intended to be within the spirit and scope of the exemplary embodiments of the present disclosure.

Meanwhile, the present application uses specific words to describe embodiments of the present application. Reference to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic is associated with at least one embodiment of the application. Thus, it should be emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various positions in this specification are not necessarily referring to the same embodiment. Furthermore, certain features, structures, or characteristics of one or more embodiments of the application may be combined as suitable.

Furthermore, those skilled in the art will appreciate that the various aspects of the application are illustrated and described in the context of a number of patentable categories or circumstances, including any novel and useful procedures, machines, products, or materials, or any novel and useful modifications thereof. Accordingly, aspects of the application may be performed entirely by hardware, entirely by software (including firmware, resident software, micro-code, etc.) or by a combination of hardware and software. The above hardware or software may be referred to as a "data block," module, "" engine, "" unit, "" component, "or" system. Furthermore, aspects of the application may take the form of a computer product, comprising computer-readable program code, embodied in one or more computer-readable media.

The computer storage medium may contain a propagated data signal with the computer program code embodied therein, for example, on a baseband or as part of a carrier wave. The propagated signal may take on a variety of forms, including electro-magnetic, optical, etc., or any suitable combination thereof. A computer storage medium may be any computer readable medium that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code located on a computer storage medium may be propagated through any suitable medium, including radio, cable, fiber optic cable, RF, or the like, or a combination of any of the foregoing.

The computer program code necessary for operation of portions of the present application may be written in any one or more programming languages, including an object oriented programming language such as Java, scala, smalltalk, eiffel, JADE, emerald, C ++, c#, vb net, python, etc., a conventional programming language such as C language, visual Basic, fortran 2003, perl, COBOL 2002, PHP, ABAP, dynamic programming languages such as Python, ruby and Groovy, or other programming languages, etc. The program code may execute entirely on the user's computer or as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any form of network, such as a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet), or the use of services such as software as a service (SaaS) in a cloud computing environment.

Furthermore, the order in which the elements and sequences are presented, the use of numerical letters, or other designations are used in the application is not intended to limit the sequence of the processes and methods unless specifically recited in the claims. While certain presently useful inventive embodiments have been discussed in the foregoing disclosure, by way of example, it is to be understood that such details are merely illustrative and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements included within the spirit and scope of the embodiments of the application. For example, while the system components described above may be implemented by hardware devices, they may also be implemented solely by software solutions, such as installing the described system on an existing server or mobile device.

Similarly, it should be noted that in order to simplify the description of the present disclosure and thereby aid in understanding one or more inventive embodiments, various features are sometimes grouped together in a single embodiment, figure, or description thereof. This method of disclosure, however, is not intended to imply that more features than are required by the subject application. Indeed, less than all of the features of a single embodiment disclosed above.

In some embodiments, numbers describing the components, number of attributes are used, it being understood that such numbers being used in the description of embodiments are modified in some examples by the modifier "about," approximately, "or" substantially. Unless otherwise indicated, "about," "approximately," or "substantially" indicate that the numbers allow for adaptive variation. Accordingly, in some embodiments, numerical parameters set forth in the specification and claims are approximations that may vary depending upon the desired properties sought to be obtained by the individual embodiments. In some embodiments, the numerical parameters should take into account the specified significant digits and employ a method for preserving the general number of digits. Although the numerical ranges and parameters set forth herein are approximations in some embodiments for use in determining the breadth of the range, in particular embodiments, the numerical values set forth herein are as precisely as possible.

Each patent, patent application publication, and other material, such as articles, books, specifications, publications, documents, etc., cited herein is hereby incorporated by reference in its entirety. Except for the application history file that is inconsistent or conflicting with this disclosure, the file (currently or later attached to this disclosure) that limits the broadest scope of the claims of this disclosure is also excluded. It is noted that the description, definition, and/or use of the term in the appended claims controls the description, definition, and/or use of the term in this application if there is a discrepancy or conflict between the description, definition, and/or use of the term in the appended claims.

Finally, it should be understood that the embodiments described herein are merely illustrative of the principles of the embodiments of the present application. Other variations are also possible within the scope of the application. Thus, by way of example, and not limitation, alternative configurations of embodiments of the application may be considered in keeping with the teachings of the application. Accordingly, the embodiments of the present application are not limited to the embodiments explicitly described and depicted herein.

The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and variations of the present application will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the application are to be included in the scope of the claims of the present application.

Claims

1. A method for intelligent interaction of medical information, comprising:

2. The method for intelligent interaction of medical information according to claim 1, wherein the sample medical information of the target medical information content to be processed and the medical information to be processed interact with each other based on at least two medical information interaction modes, and determining the key content to be selected of the target medical information content in the medical information to be processed includes:

3. The method for intelligent interaction of medical information according to claim 2, wherein the sample medical information of the target medical information contents to be processed performs substantial interaction with the medical information to be processed, determines the medical information key content of each target medical information content in the medical information to be processed, and before the medical information key content is used as the candidate key content of each target medical information content, further comprises:

4. The method for intelligent interaction of medical information according to claim 2, wherein the performing sample interaction on the sample medical information of the target medical information content to be processed and the sample interaction on the target medical information to be processed, determining the medical information key content of each target medical information content in the medical information to be processed, as the candidate key content of each target medical information content, includes:

5. The method of intelligent interaction of medical information according to claim 1, wherein for each target medical information content, performing medical information description content identification on corresponding sample medical information and key content to be selected respectively to obtain description content of the sample medical information and description content of the key content to be selected, the method comprises:

6. The method for intelligent interaction of medical information according to claim 1, wherein determining, for each target medical information content, an interaction content difference degree of the corresponding sample medical information and the medical information of the first key content to be selected comprises:

7. The method for intelligent interaction of medical information according to claim 6, wherein determining, for each target medical information content, a first interaction content average word count of corresponding sample medical information and a second interaction content average word count of corresponding candidate key content medical information comprises:

8. The method for intelligent interaction of medical information according to any one of claims 1 to 7, wherein the determining the target interaction key content of the target medical information content according to the second candidate key content of each target medical information content includes:

9. The method for intelligently interacting medical information according to claim 8, wherein the interacting the minimum unit key content with the sample medical information of the target medical information content corresponding to the minimum unit key content comprises:

10. A system for intelligent interaction of medical information, comprising a processor and a memory in communication with each other, the processor being adapted to read a computer program from the memory and execute it to implement the method of any of claims 1-9.