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CN-121980019-A - Research scheme generation method and device, electronic equipment and storage medium

CN121980019ACN 121980019 ACN121980019 ACN 121980019ACN-121980019-A

Abstract

The disclosure provides a research scheme generation method, a research scheme generation device, electronic equipment and a storage medium, and relates to the technical field of automatic research design. The method comprises the steps of finding knowledge segments related to a research concept from a knowledge database built in advance according to the research concept, generating a preliminary research scheme according to the knowledge segments, screening target data from a target database according to the preliminary research scheme, adjusting the preliminary research scheme and rescreening the target data until the target data meet preset requirements if the target data do not meet the preset requirements to obtain an effective data set, carrying out data statistics analysis on the effective data set, adjusting the preliminary research scheme until the statistics analysis result meets the expected result if the statistics analysis result does not meet the expected result set by the preliminary research scheme, and combining the final statistics analysis result to generate a final research scheme. The present disclosure enables real-time optimization of research schemes based on actual data feedback through dynamic adjustment and closed loop feedback mechanisms.

Inventors

  • CAO XINGXING
  • YANG BINGLIN
  • WANG HUAWEI
  • LI WEIXIANG
  • YANG QING

Assignees

  • 北京百度网讯科技有限公司

Dates

Publication Date
20260505
Application Date
20251217

Claims (14)

  1. 1. A method of study generation, wherein the method comprises: acquiring a research conception input by a user; Finding knowledge segments related to the research concept from a pre-constructed knowledge database according to the research concept, and generating a preliminary research scheme according to the knowledge segments; Screening target data meeting the research conditions from a target database according to the research conditions in the preliminary research scheme, and if the target data does not meet the preset requirements, adjusting the preliminary research scheme and rescreening the target data until the target data meets the preset requirements to obtain an effective data set; And carrying out data statistical analysis on the effective data set, and if the statistical analysis result does not accord with the expected result set by the preliminary research scheme, adjusting the preliminary research scheme until the statistical analysis result accords with the expected result, and combining the final statistical analysis result to generate a final research scheme.
  2. 2. The method of claim 1, wherein the finding knowledge segments related to the research concept from a pre-constructed knowledge database according to the research concept and generating a preliminary research scheme from the knowledge segments comprises: Performing generalization and rewrite processing on the research conception to obtain search terms matched with the knowledge database; Finding a knowledge segment matched with the search term in the knowledge database based on the search term; and screening target knowledge segments with the correlation degree meeting a preset threshold from the knowledge segments matched with the search words, and generating a preliminary research scheme according to the target knowledge segments.
  3. 3. The method of claim 2, wherein the generating a preliminary study plan from the target knowledge piece comprises: acquiring metadata of a specific target database and researching design guidelines; The target knowledge segments, the research ideas, metadata of the specific target database, and the research design guidelines are input to a first agent, through which the preliminary research scheme is generated.
  4. 4. A method according to claim 3, wherein, if the target data does not meet the preset requirement, the preliminary study is adjusted and the target data is rescreened until the preset requirement is met, so as to obtain a valid data set, which includes: Verifying the target data by adopting a second agent, and verifying whether the target data meets the requirements of sample size and observation index data size or not by the second agent; And if the target data does not meet the requirements of the sample size and the observed index data size, adjusting the preliminary research scheme and rescreening the target data until the target data meets the requirements of the sample size and the observed index data size, and inducing the target data meeting the requirements into the effective data set.
  5. 5. The method of claim 4, wherein said adjusting and rescreening target data for the preliminary study until sample size and observed index data size requirements are met and generalizing the target data that meets the requirements to the active data set comprises: And transmitting the verification result of the second agent to the first agent, adjusting the research conditions of the preliminary research scheme through the first agent, and rescreening target data until the target data meets the requirements of the sample size and the observed index data size, and inducing the target data meeting the requirements into the effective data set.
  6. 6. The method of claim 4, wherein the method further comprises: and if the target data meets the requirements of the sample size and the observation index data size, the target data is summarized into the effective data set.
  7. 7. The method of claim 4, wherein said verifying the target data with a second agent, verifying, by the second agent, whether the target data meets sample size and observed index data size requirements comprises: acquiring a statistical sample size requirement; And inputting the target data, the preliminary research scheme and the statistical sample size requirement to a second agent, and verifying whether the target data meets the sample size and the observation index data size requirement or not through the second agent.
  8. 8. The method of any of claims 1 to 7, wherein said performing a data statistical analysis on said active dataset comprises: Carrying out data statistical analysis on the effective data set by adopting a statistical analysis method in the preliminary research scheme to obtain a statistical analysis result; and inputting the statistical analysis result and the preliminary research scheme to a third agent, and judging whether the statistical analysis result accords with the expected result set by the preliminary research scheme or not through the third agent.
  9. 9. The method of claim 8, wherein said adjusting the preliminary study plan until the statistical analysis results meet the expected results, and combining final statistical analysis results to generate a final study plan, comprises: And transmitting the judgment result of the third agent to the first agent, adjusting the content of the preliminary research scheme through the first agent, regenerating and analyzing an effective data set based on the adjusted research scheme until the statistical analysis result accords with the expected result, and combining the final statistical analysis result to generate a final research scheme.
  10. 10. The method of claim 9, wherein the combining the final statistical analysis results to generate a final study protocol comprises: And inputting the final statistical analysis result, the research conception, the knowledge segments related to the research conception and the adjusted research scheme to a fourth agent, and generating the final research scheme through the fourth agent.
  11. 11. A study generation apparatus, wherein the apparatus comprises: The acquisition module is used for acquiring the research conception input by the user; the generation module is used for finding knowledge segments related to the research conception from a pre-constructed knowledge database according to the research conception and generating a preliminary research scheme according to the knowledge segments; the first adjustment module is used for screening target data meeting the research conditions from a target database according to the research conditions in the preliminary research scheme, and adjusting and rescreening the preliminary research scheme until the target data meets the preset requirements if the target data does not meet the preset requirements, so as to obtain an effective data set; And the second adjustment module is used for carrying out data statistical analysis on the effective data set, and if the statistical analysis result does not accord with the expected result set by the preliminary research scheme, the preliminary research scheme is adjusted until the statistical analysis result accords with the expected result, and the final statistical analysis result is combined to generate a final research scheme.
  12. 12. An electronic device, comprising: at least one processor, and A memory communicatively coupled to the at least one processor, wherein, The memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-10.
  13. 13. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-10.
  14. 14. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any of claims 1-10.

Description

Research scheme generation method and device, electronic equipment and storage medium Technical Field The disclosure relates to the technical field of artificial intelligence, in particular to the technical fields of natural language processing, machine learning, big data processing and automatic research design, and especially relates to a research scheme generation method, a device, electronic equipment and a storage medium. Background In the current academic research field, especially medical research, paper writing processes face a number of challenges that significantly reduce research efficiency and increase error rates. First, paper ideas confirm that the process is inefficient, researchers often need to manually search and screen a large number of documents, iteratively adjusting research ideas and protocols. Second, the generation of research schemes lacks intelligent support, requiring researchers to manually design research methods and select research objects, a process that is not only time-consuming and labor-consuming, but also prone to error or ignoring key factors. In addition, the verification of the sample size and the data screening process are highly dependent on manual operations, which are not only inefficient, but also have high error rates, and it is difficult to ensure the representativeness of the sample. Finally, statistical analysis processes are cumbersome and prone to error, and lack of automated support makes researchers difficult to ensure that data conforms to preset research schemes and statistical models. These problems highlight the deficiencies of the prior art in terms of automation and intelligence, and there is an urgent need to develop new solutions to improve research efficiency, reduce human error, and enhance the scientificity and reliability of research. Disclosure of Invention The disclosure provides a research scheme generation method, a research scheme generation device, electronic equipment and a storage medium. According to an aspect of the present disclosure, there is provided a study plan generation method including: acquiring a research conception input by a user; Finding knowledge segments related to the research concept from a pre-constructed knowledge database according to the research concept, and generating a preliminary research scheme according to the knowledge segments; Screening target data meeting the research conditions from a target database according to the research conditions in the preliminary research scheme, and if the target data does not meet the preset requirements, adjusting the preliminary research scheme and rescreening the target data until the target data meets the preset requirements to obtain an effective data set; And carrying out data statistical analysis on the effective data set, and if the statistical analysis result does not accord with the expected result set by the preliminary research scheme, adjusting the preliminary research scheme until the statistical analysis result accords with the expected result, and combining the final statistical analysis result to generate a final research scheme. According to another aspect of the present disclosure, there is provided a study plan generating apparatus including: The acquisition module is used for acquiring the research conception input by the user; the generation module is used for finding knowledge segments related to the research conception from a pre-constructed knowledge database according to the research conception and generating a preliminary research scheme according to the knowledge segments; the first adjustment module is used for screening target data meeting the research conditions from a target database according to the research conditions in the preliminary research scheme, and adjusting and rescreening the preliminary research scheme until the target data meets the preset requirements if the target data does not meet the preset requirements, so as to obtain an effective data set; And the second adjustment module is used for carrying out data statistical analysis on the effective data set, and if the statistical analysis result does not accord with the expected result set by the preliminary research scheme, the preliminary research scheme is adjusted until the statistical analysis result accords with the expected result, and the final statistical analysis result is combined to generate a final research scheme. According to a third aspect of the present disclosure, there is provided an electronic device comprising: at least one processor, and A memory communicatively coupled to the at least one processor, wherein, The memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of the above claims. According to a fourth aspect of the present disclosure, there is provided a non-transitory computer-readable storage medium storing computer instructions for causing the computer to perform th