Retrieval system based on medical scientific research information

Abstract

The invention discloses a retrieval system based on medical scientific research information, and relates to the technical field of retrieval of the medical scientific research information.A data acquisition module of the retrieval system is used for acquiring keyword weight GC, word frequency CP, document quantity WP, total keyword quantity ZGall, citation times Y, citation times BY, time difference T and influence factor YY related to the medical scientific research information which is currently retrieved, and the keyword weight GC, the word frequency CP, the document quantity WP, the total keyword quantity ZGall, the citation times Y, the citation times BY, the time difference T and the influence factor YY are acquired; the method comprises the following steps: sequentially calculating an output information correlation score XP, a comprehensive influence index ZYL and a dynamic adjustment factor DY by utilizing a calculation adjustment module, observing and displaying the change trend of the dynamic adjustment factor DY based on the dynamic adjustment factor DY by utilizing a linear visual module, and dynamically adjusting the influence factor YY by utilizing the calculation adjustment module by a retrieval system based on the dynamic adjustment factor DY. According to the method, a plurality of influence factors are comprehensively considered, a dynamic adjustment mechanism is introduced, the change trend is visually reflected, and the accuracy and correlation of information retrieval are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of medical research information retrieval, and in particular to a retrieval system based on medical research information. Background Art

[0002] Medical information retrieval is a vital tool in the medical field. It aims to help medical practitioners obtain accurate and reliable medical information to support clinical decision-making, research and education. The development of this field is closely related to the advancement of information technology. Its history can be traced back to the early 20th century, when medical research mainly relied on printed literature and library resources. However, with the advent of computer technology and the popularization of the Internet, medical information retrieval has undergone significant changes.

[0003] At present, existing medical research information retrieval systems often rely solely on keyword matching, ignoring the differences in the importance of keywords in documents and the overall content of the documents, and only rely on the number of citations to evaluate the influence of information, ignoring the differences in influence between different journals and platforms and the impact of time factors. In addition, existing medical research information retrieval systems are often unable to dynamically adjust relevance scores and influence assessments based on the latest information. Summary of the invention

[0004] The object of the present invention is to provide a solution to the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solution, and the specific implementation steps are as follows: Step 1: Use the data collection module of the retrieval system to collect the keyword weight GC, word frequency CP, document volume WP, and total keyword number ZG related to the medical research information currently being retrieved. all , citation times Y, citation times BY, time difference T, and influence factor YY are collected; Step 2, using the calculation and adjustment module, calculate the output information relevance score XP, the comprehensive impact index ZYL, and the dynamic adjustment factor DY in sequence; Step 3, based on the dynamic adjustment factor DY, using the line visualization module, observe and display the change trend of the dynamic adjustment factor DY; Step 4: Based on the dynamic adjustment factor DY, the retrieval system uses the calculation adjustment module to dynamically adjust the influence factor YY; Among them, the calculation adjustment module includes a search result scoring unit, a medical research information comprehensive impact unit and a search dynamic adjustment feedback unit.

[0006] Optionally, the equipment used by the data acquisition module includes a literature database, a citation management system, a third-party data provider, and a server; The equipment used by the calculation adjustment module includes high-performance computing equipment; The equipment used in the linear visual module includes visualization equipment.

[0007] Optionally, the calculation formula of the search result scoring unit is as follows: ; in: XP is the information relevance score, which reflects the matching degree between the currently retrieved medical research information and the user's search needs; GC is the keyword weight, which indicates the importance of the search keyword in medical research information; CP is the word frequency, which means the proportion of the number of times the search keyword appears in the total text of the currently retrieved medical research information; WP is the number of documents, which means the total number of documents containing the search keywords in the retrieval system; ZG all is the total number of keywords, ZG all Indicates the total number of words in the retrieval system that contain the search keyword; Y is the number of citations, which represents the total number of citations of the currently retrieved medical research information; BY is the number of citations, and BY represents the total number of times the currently retrieved medical research information cites other documents; T is the time difference, which means the difference between the current time and the release time of the currently retrieved medical research information; The literature database and citation management system in the retrieval system record the number of citations Y and the number of citations BY.

[0008] Optionally, the calculation formula of the keyword weight GC is as follows: GC = GC1 × [CP / (1- (CW / ZCW))]; GC1 is the first keyword weight. Specifically, GC1 is the keyword weight GC of the currently retrieved medical research information that was initially published and calculated for the first time; CW is the number of retrieval errors, reflecting the total number of retrieval errors in the currently retrieved medical research information; ZCW is the total number of retrieval errors, reflecting the total number of retrieval errors generated by the retrieval system; The calculation formula of the word frequency CP is as follows: CP = G / ZW; G is the total number of keywords, reflecting the total number of keywords in the currently retrieved medical research information; ZW is the total number of words in the article, reflecting the total number of words in the total medical research information currently retrieved.

[0009] Optionally, the calculation formula of the comprehensive impact unit of medical research information is as follows: ; in: ZYL is the comprehensive impact index; YY is the influence factor.

[0010] Optionally, the calculation formula of the influence factor YY is as follows: YY=QGM / ZQGM+JZL / ZJS; QGM is the monthly journal purchase volume, which means the total monthly purchase volume of the currently retrieved medical research information journals; ZQGM is the total journal purchase volume for the month. ZQGM represents the total journal purchase volume for the month; JZL is the platform search volume for the month. JZL represents the total search volume for the month on the platform including the currently retrieved medical research information; ZJS is the total number of searches on the platform that month. ZJS represents the total number of searches on the platform that month; The retrieval system obtains the journal purchase volume QGM, the total journal purchase volume ZQGM, the platform search volume JZL and the total platform search volume ZJS of the journal and the platform official website through third-party data providers.

[0011] Optionally, the calculation formula of the retrieval dynamic adjustment feedback unit is as follows: ; in: DY is the dynamic adjustment factor.

[0012] Optionally, the trend analysis and adjustment based on the dynamic adjustment factor DY line graph are as follows: If the dynamic adjustment factor DY shows an upward trend on the line graph, it means that the relevance score XP and comprehensive influence of the medical research information are gradually increasing, and the influence of the journal and platform where the medical research information is currently retrieved is increasing; The upward trend calculation formula of the influence factor YY should be adjusted as follows: YY new1 =YY×(1+DY / DY old ); YY new1 is the upward trend influencing factor; DY old is the previous dynamic adjustment factor; The upward trend influence factor YY new1 Replace the influence factor YY in the comprehensive influence unit of the medical research information for calculation next time; If the dynamic adjustment factor DY shows a downward trend on the line graph, it means that the relevance score XP and the comprehensive influence of the medical research information are gradually decreasing, and the influence of the journal and platform where the medical research information is currently retrieved is weakening; The downward trend calculation formula of the influence factor YY should be adjusted as follows: YY new2 =YY×(1-DY / DY old ); YY new2 is the downward trend influencing factor; The downward trend influence factor YY new2 Replace the influence factor YY in the comprehensive influence unit of the medical research information for calculation next time.

[0013] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention provides a search result scoring unit to calculate the information relevance score XP, which comprehensively considers the keyword weight GC, word frequency CP, document volume WP, and total number of keywords ZG all , citation times Y, citation times BY, and time difference T factors, and thus can more accurately evaluate the relevance of information, especially by introducing the product of keyword weight GC and word frequency CP, as well as the sum of citation times Y and citation times BY, which can more carefully reflect the importance of keywords in documents and the citation status of information.

[0014] 2. The comprehensive impact unit of medical research information of the present invention combines the calculation of information relevance score XP, document volume WP, keyword weight GC, number of citations Y, and document volume WP to reflect the importance of keywords in the document collection and their weighted contribution by the number of citations Y. The adjustment items of influence factor YY, number of citations Y, and time difference T can more comprehensively evaluate the comprehensive influence of information. In particular, by introducing the influence factor YY, it can reflect the differences between different journals and platforms, making the evaluation results more objective and accurate.

[0015] 3. The dynamic adjustment feedback unit of the present invention can dynamically adjust the relevance score of information according to the comprehensive impact index ZYL, the number of citations Y, the number of citations BY, the information relevance score XP, the keyword weight GC and the time difference T factor by calculating the dynamic adjustment factor DY, and use a line graph to observe the change trend of the dynamic adjustment factor DY, intuitively see the dynamic change of the information influence, and adjust the upward trend influence factor YY according to the needs new1 / Downward trend influence factor YY new2, thereby achieving dynamic adjustment and optimization of the information relevance score. This cyclic impact mechanism allows the retrieval system to dynamically adjust the information relevance score XP according to the latest comprehensive impact index, thereby improving the accuracy and relevance of the retrieval results.

[0016] 4. The system of the present invention not only improves the accuracy and relevance of information retrieval, but also realizes real-time monitoring and adjustment of information influence by introducing a dynamic adjustment mechanism, thereby enabling the XP to more comprehensively evaluate the overall value and influence of medical research information, and provide more accurate and comprehensive information support for scientific research. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is a method flow chart of the retrieval system based on medical research information; Figure 2 It is a structural schematic diagram of the calculation adjustment module of the present invention; Figure 3 It is a schematic diagram of the rising trend of the dynamic adjustment factor DY in the present invention; Figure 4 It is a schematic diagram of the downward trend of the dynamic adjustment factor DY in the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] This retrieval system based on medical research information is different from the existing retrieval systems. The existing retrieval systems ignore the differences in the importance of keywords in documents and the overall content of the documents, ignore the differences in the influence of different journals and platforms and the impact of time factors, and lack a dynamic loop feedback mechanism. This algorithm unit comprehensively considers multiple influencing factors, introduces a dynamic adjustment mechanism, intuitively reflects changing trends, and improves the accuracy and relevance of information retrieval.

[0020] For example, see Figures 1 to 4 This implementation provides a retrieval system based on medical research information. The specific implementation steps are as follows: Step 1: Use the data collection module of the retrieval system to collect the keyword weight GC, word frequency CP, document volume WP, and total keyword number ZG related to the medical research information currently being retrieved. all , citation times Y, citation times BY, time difference T, and influence factor YY are collected; Step 2, using the calculation and adjustment module, calculate the output information relevance score XP, the comprehensive impact index ZYL, and the dynamic adjustment factor DY in sequence; Step 3, based on the dynamic adjustment factor DY, using the line visualization module, observe and display the change trend of the dynamic adjustment factor DY; Step 4: Based on the dynamic adjustment factor DY, the retrieval system uses a calculation adjustment module to dynamically adjust the influence factor YY; The calculation and adjustment module includes a search result scoring unit, a medical research information comprehensive impact unit, and a search dynamic adjustment feedback unit; The equipment used in the data collection module includes literature database, citation management system, third-party data provider, and server; The equipment used in the calculation adjustment module includes high-performance computing equipment; The equipment used in the linear visualization module includes visualization equipment.

[0021] In this embodiment, the system, through the mutual cooperation of three algorithm units, together constitutes the core part of the retrieval system based on medical research information, providing strong support for the retrieval and utilization of medical research information. Combining the three operation results of XP, ZYL and DY, specifically, XP is the information relevance score, and its score introduces a variety of factors. These factors together constitute a multi-dimensional indicator for evaluating information relevance, enhancing the system's adaptability to different types of information. ZYL is a comprehensive impact index, which can calculate the comprehensive impact index of medical research information. This index not only reflects the direct relevance of the information, but also introduces the influence and timeliness of the information, providing the system with a more comprehensive evaluation index. DY is Dynamic adjustment factor, this factor not only reflects the current status of the information, but also takes into account the future development trend and potential influence of the information. By adjusting the relevance score of the information, the dynamic adjustment factor unit can help the system better adapt to new information and demand changes, and improve the accuracy and relevance of the retrieval results. The calculation result of DY uses the changing trend of the line graph and the targeted adjustment of the influence factor YY, which can also affect the feedback to the next XP, ZYL and DY calculation, so that the three algorithms of this system have a high correlation and entanglement. The cyclic influence mechanism of DY on ZYL not only improves the accuracy and relevance of the retrieval results, but also significantly enhances the flexibility and continuous improvement ability of the retrieval system.

[0022] See also Figures 1 to 4 , the calculation formula of the search result scoring unit is as follows: ; in: XP is the information relevance score, which reflects the matching degree between the currently retrieved medical research information and the user's search needs; GC is the keyword weight, which indicates the importance of the search keyword in medical research information; CP is the word frequency, which means the proportion of the number of times the search keyword appears in the total text of the currently retrieved medical research information; WP is the number of documents, which means the total number of documents containing the search keywords in the retrieval system; ZG all is the total number of keywords, ZG all Indicates the total number of words in the retrieval system that contain the search keyword; Y is the number of citations, which represents the total number of citations of the currently retrieved medical research information; BY is the number of citations, and BY represents the total number of times the currently retrieved medical research information cites other documents; T is the time difference, which means the difference between the current time and the release time of the currently retrieved medical research information; The literature database and citation management system in the retrieval system record the number of citations Y and the number of citations BY; The calculation formula of keyword weight GC is as follows: GC = GC1 × [CP / (1- (CW / ZCW))]; GC1 is the first keyword weight. Specifically, GC1 is the keyword weight GC of the currently retrieved medical research information that was initially published and calculated for the first time; CW is the number of retrieval errors, reflecting the total number of retrieval errors in the currently retrieved medical research information; ZCW is the total number of retrieval errors, reflecting the total number of retrieval errors generated by the retrieval system; The calculation formula of word frequency CP is as follows: CP = G / ZW; G is the total number of keywords, reflecting the total number of keywords in the currently retrieved medical research information; ZW is the total number of words in the article, reflecting the total number of words in the total medical research information currently retrieved.

[0023] In this embodiment: First, in this algorithm unit, " "This ratio in the calculation part measures the ratio of the prevalence of a keyword in a document collection to its importance. A high " " ratio means that the keyword is more common, while a low " "The ratio indicates that the keyword is unique and professional. It serves as an adjustment item in the XP calculation of information relevance score to help balance the prevalence and importance of keywords, thereby more accurately evaluating the relevance of information. "This product in the calculation part represents the actual importance of the keyword in the document, that is, the product of the keyword weight and the number of times it appears in the document. It reflects the actual frequency and importance of the keyword in the document and is the core part of the information relevance score XP calculation; “ "This sum represents the citation and citation of medical research information, which is an important indicator for evaluating the influence and popularity of information. It serves as a positive adjustment item in the calculation of information relevance score XP, increasing the contribution of citation and citation times to information relevance. "This negative value represents the attenuation effect of the time difference T on the information relevance, that is, the newer the information, the higher its relevance is usually. It serves as a negative adjustment item in the calculation of the information relevance score XP to reduce the relevance score of outdated information; In summary, this algorithm unit not only reflects the direct importance of keywords in the document through the product of keyword weight GC and word frequency CP, but also considers the universality and uniqueness of keywords in the entire document collection through the adjustment of document volume WP, so as to more accurately evaluate the weight of keywords. The introduction of citation times Y and citation times BY makes the relevance score not only based on the document content, but also considers the degree of recognition from the external academic community, which is crucial for evaluating the authority and influence of scientific research information. The introduction of time difference T makes newer information obtain higher weight in relevance evaluation, which reflects the value decay law of scientific research information over time and helps users obtain the latest scientific research results.

[0024] See also Figures 1 to 4 , the calculation formula of the comprehensive impact unit of medical research information is as follows: ; in: ZYL is the comprehensive impact index; YY is the influence factor; The calculation formula of influence factor YY is as follows: YY=QGM / ZQGM+JZL / ZJS; QGM is the monthly journal purchase volume, which means the total monthly purchase volume of the currently retrieved medical research information journals; ZQGM is the total journal purchase volume for the month. ZQGM represents the total journal purchase volume for the month; JZL is the platform search volume for the month. JZL represents the total search volume for the month on the platform including the currently retrieved medical research information; ZJS is the total number of searches on the platform that month. ZJS represents the total number of searches on the platform that month; The retrieval system obtains the journal purchase volume QGM, the total journal purchase volume ZQGM, the platform search volume JZL and the total platform search volume ZJS of the journal and the platform official website through third-party data providers.

[0025] In this embodiment, first, The " part combines the information relevance score XP and the prevalence of keywords in the document collection and their importance in a specific document, forming the basis for the calculation of the comprehensive impact index ZYL, which reflects the relevance of information and its importance weighted by the number of citations, while the " "This product represents the contribution of the influence of the journal and platform where the information is located to the comprehensive impact index. This calculation part adds the direct impact of the journal and platform influence on the comprehensive impact index ZYL, so that the comprehensive impact index ZYL can more comprehensively evaluate the comprehensive influence of the information; “ "This adjustment item is used to balance the impact of the number of citations Y on the time difference T. That is, as the number of citations increases, the impact of the time difference T on the comprehensive impact index ZYL gradually decreases. As an adjustment item in the calculation of the comprehensive impact index ZYL, it is used to balance the relationship between the timeliness and influence of information; It is worth noting that this algorithm unit introduces the influence factor YY, so that the influence of different journals, platforms and authors can be quantified and integrated into the calculation of the comprehensive impact index ZYL. This helps to screen out more valuable scientific research information based on the authority of the information source. By dividing by the square root of the number of citations Y+1, the comprehensive impact unit of medical research information makes a more reasonable adjustment to the time difference T, which not only takes into account the attenuation effect of time on the influence of information, but also avoids extreme situations caused by too few citations.

[0026] See also Figures 1 to 4 , the calculation formula for retrieving the dynamic adjustment feedback unit is as follows: ; in: DY is the dynamic adjustment factor.

[0027] In this embodiment, the algorithm unit first " The calculation part combines the information relevance score XP and the importance of keywords in a specific document to form one of the bases for calculating the dynamic adjustment factor DY, reflecting the relevance of information and its importance weighted by the comprehensive impact index, while " "This product represents the contribution of citations and citations to the dynamic adjustment factor DY, which is adjusted by the comprehensive impact index ZYL. It increases the direct impact of citations and citations on the dynamic adjustment factor DY and balances its impact through the adjustment of the comprehensive impact index; “ "This adjustment item is used to balance the impact of the comprehensive impact index ZYL and the time difference T on the dynamic adjustment factor DY. That is, as the comprehensive impact index ZYL increases, the impact of the time difference on the dynamic adjustment factor DY gradually decreases. It is used as an adjustment item in the calculation of the dynamic adjustment factor DY to further balance the relationship between the comprehensive influence and timeliness of information. The calculation of the dynamic adjustment factor DY of this algorithm unit is based on the comprehensive impact index ZYL and related information, which can reflect the changes in the influence of information in real time and adjust the information relevance score XP accordingly. This mechanism enables the retrieval system to quickly adapt to new scientific research information, thereby providing more accurate and timely retrieval results; The adjustment result of the dynamic adjustment factor DY not only affects the current search results, but also affects the parameter setting for the next calculation of the information relevance score XP through the feedback mechanism. This cyclic influence mechanism enables the retrieval system to continuously optimize itself and maintain its accuracy and flexibility. By observing the changing trend of the dynamic adjustment factor DY through a line graph, we can intuitively understand the dynamic changes of information influence, and then adjust the influence factor YY parameters according to actual needs to achieve a more accurate retrieval strategy.

[0028] For example 2, please refer to Figures 1 to 4 , based on the dynamic adjustment factor DY line chart trend analysis and adjustment are as follows: If the dynamic adjustment factor DY shows an upward trend on the line graph, it means that the relevance score XP and comprehensive influence of the medical research information are gradually increasing, and the influence of the journal and platform where the medical research information is currently retrieved is increasing; The upward trend calculation formula of the influence factor YY should be adjusted as follows: YY new1 =YY×(1+DY / DY old ); YY new1 is the upward trend influencing factor; DY old is the previous dynamic adjustment factor; The upward trend influence factor YY new1 Replace the influence factor YY in the comprehensive influence unit of the medical research information for calculation next time; If the dynamic adjustment factor DY shows a downward trend on the line graph, it means that the relevance score XP and the comprehensive influence of the medical research information are gradually decreasing, and the influence of the journal and platform where the medical research information is currently retrieved is weakening; The downward trend calculation formula of the influence factor YY should be adjusted as follows: YYnew2 =YY×(1-DY / DY old ); YY new2 is the downward trend influencing factor; The downward trend influence factor YY new2 Replace the influence factor YY in the comprehensive influence unit of the medical research information for calculation next time.

[0029] In this embodiment, the search result scoring unit is usually a comprehensive evaluation model, which is the basis for calculating the initial influence factor of each medical research information - influence factor YY. This initial value reflects the popularity and quality of the information at the initial release; In the comprehensive impact unit of medical research information, when the dynamic adjustment factor DY shows an upward trend, the comprehensive impact unit of medical research information is used to adjust the influence factor YY. new1 =YY×(1+DY / DY old )” This formula takes into account the rising proportion of the dynamic adjustment factor DY, and reflects the rising trend to the influence factor YY through multiplication. The adjusted rising trend influence factor YY new1 Higher than the initial value, it reflects the positive feedback and increased influence of the information in the market; On the contrary, when the dynamic adjustment factor DY in the retrieval dynamic adjustment feedback unit shows a downward trend, the retrieval dynamic adjustment feedback unit is used to adjust the influence factor downward, "YY new2 =YY×(1-DY / DY old )” This formula also takes into account the decline ratio of the dynamic adjustment factor DY, but the difference is that it deducts a part from the initial influence factor through subtraction operation to reflect the negative impact of information or the reduction of market acceptance. The adjusted downward trend influence factor YY new2 It is lower than the initial value, which provides a direction for improvement for journals and platforms; This embodiment can dynamically adjust the influence factor according to the real-time changes of the dynamic adjustment factor DY through a circular feedback mechanism. This dynamic adjustment makes the calculation of the influence factor closer to the actual situation and improves the accuracy of the evaluation. The circular feedback mechanism can quickly capture the changing trend of the dynamic adjustment factor DY and adjust the influence factor at the first time. This timeliness helps journals and platforms to respond to changes in retrieval in a timely manner and adjust strategies to improve the quality and influence of information. By continuously adjusting the influence factor YY, journals and platforms can more clearly understand which information is more popular with readers and which information needs to be improved. This feedback mechanism encourages journals and platforms to continuously improve the quality of medical research information, and by optimizing the calculation of the influence factor YY, more accurately evaluate the quality and contribution of scientific research results, and provide more valuable references and incentives for scientific research. It is worth noting that the line chart uses time as the horizontal axis and the dynamic adjustment factor DY value as the vertical axis. The dynamic adjustment factor DY values ​​at each time point are connected by continuous broken lines to form a clear trend line. This visualization method allows observers to intuitively see the changing trend of the dynamic adjustment factor DY over time, whether it is rising, falling or fluctuating, it can be seen at a glance; By observing the line graph, we can find abnormal points and turning points in the trend of the dynamic adjustment factor DY. Specifically, when the dynamic adjustment factor DY value suddenly drops, it means that there are problems with the quality and relevance of some medical research information. On the contrary, when the dynamic adjustment factor DY value continues to rise, it indicates that some information has high quality and value, and the demand is increasing. These abnormal points and turning points provide clues to discover potential problems and opportunities. Compared with the traditional evaluation method based on a single time point and static data, using a line chart to observe the trend of the dynamic adjustment factor DY can more comprehensively reflect the dynamic changes in medical research information. This dynamic evaluation method helps to more accurately judge the value, quality and influence of information, thereby providing a more reliable basis for evaluation. In summary, using line graphs to observe the trend of the dynamic adjustment factor DY has beneficial effects in intuitively displaying trend changes, discovering potential problems and opportunities, assisting decision-making, improving evaluation accuracy, and promoting scientific research exchanges and cooperation. Therefore, in the evaluation and management of scientific research information, this visualization method should be fully utilized to provide more comprehensive, accurate and valuable reference information.

[0030] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A retrieval system based on medical research information, characterized in that: The specific implementation steps are as follows: Step 1: Use the data collection module of the retrieval system to collect the keyword weight GC, word frequency CP, document volume WP, and total keyword number ZG related to the medical research information currently being retrieved. all , citation times Y, citation times BY, time difference T, and influence factor YY are collected; Step 2, using the calculation and adjustment module, calculate the output information relevance score XP, the comprehensive impact index ZYL, and the dynamic adjustment factor DY in sequence; Step 3, based on the dynamic adjustment factor DY, using the line visualization module, observe and display the change trend of the dynamic adjustment factor DY; Step 4: Based on the dynamic adjustment factor DY, the retrieval system uses the calculation adjustment module to dynamically adjust the influence factor YY; Among them, the calculation adjustment module includes a search result scoring unit, a medical research information comprehensive impact unit and a search dynamic adjustment feedback unit.

2. The medical research information retrieval system according to claim 1 is characterized in that: The equipment used in the data acquisition module includes a literature database, a citation management system, a third-party data provider, and a server; The equipment used by the calculation adjustment module includes high-performance computing equipment; The equipment used by the linear visual module includes visualization equipment.

3. The medical research information retrieval system according to claim 2, characterized in that: The calculation formula of the search result scoring unit is as follows: ； in: XP is the information relevance score, which reflects the matching degree between the currently retrieved medical research information and the user's search needs; GC is the keyword weight, which indicates the importance of the search keyword in medical research information; CP is the word frequency, which means the proportion of the number of times the search keyword appears in the total text of the currently retrieved medical research information; WP is the number of documents, which means the total number of documents containing the search keywords in the retrieval system; ZG all is the total number of keywords, ZG all Indicates the total number of words in the retrieval system that contain the search keyword; Y is the number of citations, which represents the total number of citations of the currently retrieved medical research information; BY is the number of citations, and BY represents the total number of times the currently retrieved medical research information cites other documents; T is the time difference, which means the difference between the current time and the release time of the currently retrieved medical research information; The literature database and citation management system in the retrieval system record the number of citations Y and the number of citations BY.

4. The medical research information retrieval system according to claim 3, characterized in that: The calculation formula of the keyword weight GC is as follows: GC = GC1 × [CP / (1- (CW / ZCW))]; GC1 is the first keyword weight. Specifically, GC1 is the keyword weight GC of the currently retrieved medical research information that was initially published and calculated for the first time; CW is the number of retrieval errors, reflecting the total number of retrieval errors in the currently retrieved medical research information; ZCW is the total number of retrieval errors, reflecting the total number of retrieval errors generated by the retrieval system; The calculation formula of the word frequency CP is as follows: CP = G / ZW; G is the total number of keywords, reflecting the total number of keywords in the currently retrieved medical research information; ZW is the total number of words in the article, reflecting the total number of words in the total medical research information currently retrieved.

5. The medical research information retrieval system according to claim 4, characterized in that: The calculation formula of the comprehensive impact unit of medical research information is as follows: ； in: ZYL is the comprehensive impact index; YY is the influence factor.

6. The medical research information retrieval system according to claim 5, characterized in that: The calculation formula of the influence factor YY is as follows: YY=QGM / ZQGM+JZL / ZJS; QGM is the monthly journal purchase volume, which means the total monthly purchase volume of the currently retrieved medical research information journals; ZQGM is the total journal purchase volume for the month. ZQGM represents the total journal purchase volume for the month; JZL is the platform search volume for the month. JZL represents the total search volume for the month on the platform including the currently retrieved medical research information; ZJS is the total number of searches on the platform that month. ZJS represents the total number of searches on the platform that month; The retrieval system obtains the journal purchase volume QGM, the total journal purchase volume ZQGM, the platform search volume JZL and the total platform search volume ZJS of the journal and the platform official website through third-party data providers.

7. The medical research information retrieval system according to claim 6, characterized in that: The calculation formula of the retrieval dynamic adjustment feedback unit is as follows: ； in: DY is the dynamic adjustment factor.

8. The medical research information retrieval system according to claim 7, characterized in that: Based on the dynamic adjustment factor DY line chart trend analysis and adjustment are as follows: If the dynamic adjustment factor DY shows an upward trend on the line graph, it means that the relevance score XP and comprehensive influence of the medical research information are gradually increasing, and the influence of the journal and platform where the medical research information is currently retrieved is increasing; The upward trend calculation formula of the influence factor YY should be adjusted as follows: YY new1 =YY×(1+DY / DY old ): YY new1 is the upward trend influencing factor; DY old is the previous dynamic adjustment factor; The upward trend influence factor YY new1 Replace the influence factor YY in the comprehensive influence unit of the medical research information for calculation next time; If the dynamic adjustment factor DY shows a downward trend on the line graph, it means that the relevance score XP and the comprehensive influence of the medical research information are gradually decreasing, and the influence of the journal and platform where the medical research information is currently retrieved is weakening; The downward trend calculation formula of the influence factor YY should be adjusted as follows: YY new2 =YY×(1-DY / DY old ): YY new2 is the downward trend influencing factor; The downward trend influence factor YY new2 Replace the influence factor YY in the comprehensive influence unit of the medical research information for calculation next time.

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