CN109065181B - Multi-database interaction method and device based on broad search - Google Patents
Multi-database interaction method and device based on broad search Download PDFInfo
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Abstract
The embodiment of the invention discloses a multi-database interaction method and a device based on broad retrieval, wherein the method comprises the following steps: receiving a retrieval request, wherein the retrieval request comprises a retrieval keyword; interacting with a disease genetic variation and drug interpretation multi-database interaction system according to a retrieval request, carrying out broad retrieval in each database of the disease genetic variation and drug interpretation multi-database interaction system according to a retrieval keyword, and obtaining an evidence grade related to the disease genetic variation and the drug of each database according to a retrieval result; and scoring the retrieval results related to the disease gene variation and the medicines of each database according to the scores of the corresponding databases, and feeding back the scores of the data to an interpretation reporting device for interpretation. By establishing a multi-database interactive system consisting of a gene variation and disease information database, a drug treatment database and a disease and variation literature information database for interactive retrieval, the retrieval process is simple, and more accurate and comprehensive retrieval results can be obtained.
Description
Technical Field
The embodiment of the invention relates to the technical field of computers, in particular to a multi-database interaction method and device based on broad search.
Background
With the rapid increase in the number of genes detected in disease patient samples, more and more new sequence variations are detected in clinical molecular laboratories. Some diseases and drug use are only related to single gene mutation, while most diseases and drug use are related to multiple gene mutations, the connection between gene mutation and drug interpretation is very tight and complex, the clinical significance of a given sequence variation is graded and interpreted, and a disease gene variation and drug database is established.
However, with the huge amount of genetic variation data generated by the development of the second-generation sequencing technology, the processing and analysis of huge genetic variation data and various morphological data (drugs, guidelines, clinical information, literature, etc.) are important for realizing accurate medical treatment of diseases. At present, no unified standard and database about disease genetic variation and drug interpretation exist, and different processing methods and processes are provided for interpretation, collection and arrangement of related genetic variation data by various major companies and clinical institutions, so that how to establish perfect and convenient interactive disease genetic variation and drug databases is an urgent problem to be solved.
Disclosure of Invention
Because the existing method has the problems, the embodiment of the invention provides a multi-database interaction method and device based on broad search.
In a first aspect, an embodiment of the present invention provides a multiple database interaction method based on broad search, including:
receiving a retrieval request of a retrieval terminal, wherein the retrieval request comprises a retrieval keyword;
interacting with a disease genetic variation and drug interpretation multi-database interaction system according to the retrieval request, performing broad retrieval in each database of the disease genetic variation and drug interpretation multi-database interaction system according to the retrieval key words, and obtaining an evidence grade related to the disease genetic variation and the drug of each database according to the retrieval result;
scoring the retrieval results related to the disease gene variation and the medicines of each database according to the scores of the corresponding databases, and feeding back the scores of the data to an interpretation reporting device for interpretation;
wherein each database of the disease genetic variation and drug interpretation multi-database interaction system comprises a genetic variation and disease information database, a drug treatment database and a disease and variation literature information database; the gene variation and disease information database is used for storing data related to gene variation and disease information; the medication database is used for storing medication-related data; the disease and variant literature information database is used for storing data related to the disease and variant literature.
Optionally, the method further comprises:
the interpretation report device interprets a search result of the target database and generates an interpretation report.
Optionally, the method further comprises:
the interpretation result statistic device counts the levels of evidence levels related to the disease genetic variation and the drugs searched in each target database, sends the counted results to the interpretation report device, and receives the interpretation report sent by the interpretation report device.
In a second aspect, an embodiment of the present invention further provides a multiple database interaction apparatus based on broad search, including:
a retrieval request receiving module, configured to receive a retrieval request of a retrieval terminal, where the retrieval request includes a retrieval keyword;
the broad search module is used for interacting with a disease genetic variation and drug interpretation multi-database interaction system according to the search request, carrying out broad search in each database of the disease genetic variation and drug interpretation multi-database interaction system according to the search keyword, and obtaining an evidence grade related to the disease genetic variation and the drug of each database according to the search result;
the evidence grade judging module is used for grading the search results related to the disease gene variation and the medicine of each database according to the scores of the corresponding databases and feeding back the scores of the data to the interpretation reporting device for interpretation;
wherein each database of the disease genetic variation and drug interpretation multi-database interaction system comprises a genetic variation and disease information database, a drug treatment database and a disease and variation literature information database; the gene variation and disease information database is used for storing data related to gene variation and disease information; the medication database is used for storing medication-related data; the disease and variant literature information database is used for storing data related to the disease and variant literature.
Optionally, the apparatus further comprises:
and the interpretation module is used for interpreting the retrieval result of the target database and generating an interpretation report.
Optionally, the apparatus further comprises:
and the statistical module is used for counting the evidence grades of the disease genetic variation and the medicine searched in each target database, counting the heights of the evidence grades, sending the statistical result to the interpretation report device, and receiving the interpretation report sent by the interpretation report device.
In a third aspect, an embodiment of the present invention further provides an electronic device, including:
at least one processor; and
at least one memory communicatively coupled to the processor, wherein:
the memory stores program instructions executable by the processor, which when called by the processor are capable of performing the above-described methods.
In a fourth aspect, an embodiment of the present invention further provides a non-transitory computer-readable storage medium storing a computer program, which causes the computer to execute the above method.
According to the technical scheme, the embodiment of the invention carries out interactive retrieval by establishing a multi-database interactive system consisting of the gene variation and disease information database, the drug therapy database and the disease and variation literature information database, has simple retrieval process and can obtain more accurate and comprehensive retrieval results.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic diagram of a disease genetic variation and drug interpretation multi-database interaction system according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a disease genetic variation and drug interpretation multi-database interaction system according to another embodiment of the present invention;
FIG. 3 is a flowchart illustrating a method for interacting multiple databases according to an embodiment of the present invention;
FIG. 4 is a flowchart illustrating a broad search based multiple data interaction method according to an embodiment of the present invention;
fig. 5 is a flowchart illustrating a method for multiple databases sequentially interacting according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a broad search based multi-database interaction apparatus according to an embodiment of the present invention;
fig. 7 is a logic block diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The following further describes embodiments of the present invention with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
Fig. 1 shows a disease genetic variation and drug interpretation multi-database interactive system provided in this embodiment, which includes: a gene variation and disease information database 101, a medication database 102, and a disease and variation literature information database 103.
The gene variation and disease information database 101, the medication database 102, and the disease and variation literature information database 103 are connected in pairs, respectively.
The genetic variation and disease information database 101 is used to store data related to genetic variation and disease information.
The medication therapy database 102 is used to store medication therapy related data.
The disease and variant literature information database 103 is used for storing data related to disease and variant literature.
Wherein the medication therapy database comprises: a disease and gene variation and drug treatment approval information database, a disease and gene variation and drug treatment expert consensus information database, and a disease and gene variation and drug treatment clinical trial information database.
In the embodiment, a multi-database interaction system composed of a gene variation and disease information database, a drug treatment database and a disease and variation literature information database is established for storing gene variation and drug related data, and the multi-database interaction system is complete in data volume and easy to use.
Further, on the basis of the above embodiment, the system further includes: an interpretation report device and a retrieval interpretation result statistic device.
The interpretation report device is respectively connected with the gene variation and disease information database, the medication database and the disease and variation literature information database and is used for interpreting the received judgment results to generate an interpretation report.
The interpretation result statistic device is respectively connected with the gene variation and disease information database, the drug treatment database, the disease and variation literature information database and the interpretation report device and is used for counting evidence grades related to the disease gene variation and drugs searched in the databases, judging the evidence grades to obtain judgment results, sending the judgment results to the interpretation report device and receiving interpretation reports fed back by the interpretation report device.
Specifically, the present embodiment has 6 databases, 1 statistic device for search and interpretation result and 1 interpretation report device, all of which constitute a complete disease gene variation and drug multidata system. Wherein, the 6 databases comprise 1 primary database which is a gene variation and disease information database and comprises three parts, wherein the first part is a gene variation information database, the second part is a disease information database, and the third part is a disease medicine information database; 1 secondary database which is a drug therapy database, wherein the drug therapy database comprises three sub databases called as a tertiary database, such as a tertiary database 1, a tertiary database 2 and a tertiary database 3 shown in fig. 2, and specifically comprises a disease and genetic variation and drug therapy approval information database, a disease and genetic variation and drug therapy specialist consensus information database, and a disease and genetic variation and drug therapy clinical trial information database; 1 four-level database of disease and variant literature information, as shown in FIG. 2. The retrieval and interpretation result counting device is responsible for counting disease gene variation and medicine-related evidence grades retrieved by the secondary database, the tertiary database and the quaternary database, judging the evidence grades, feeding back a retrieval continuing instruction to the primary database to continue to complete a retrieval process or feeding back a result to the interpretation report device according to a judgment result, and acquiring an interpretation report sent by the interpretation report device to complete an interpretation process; the interpretation report device is responsible for receiving the instruction of the retrieval interpretation result statistical device, completing the final interpretation, forming an interpretation report and completing the interpretation process.
Wherein, the evidence grade is an evaluation grade for prevention, diagnosis, prognosis, treatment, hazard research and the like in the medical field, for example, a set of evidence grades proposed by oxford evidence-based medical center includes grade a evidence, grade B evidence, grade C evidence and grade D evidence: the grade a evidence represents consistent randomized-control clinical studies, cohort studies, all or inconclusive studies, clinical decision rules, validated in different populations; the grade B evidence represents a consistent retrospective cohort study, a prospective cohort study, an ecological study, a result study, a case control study, or an extrapolated conclusion of the grade A evidence; grade C evidence represents the conclusion from case sequence studies or extrapolation of grade B evidence; the grade D evidence represents an expert opinion without critical evaluation or evidence based on basic medical research.
The correlation among 6 databases is as follows:
wherein, the first level database is a gene variation database, the second level database (the first level reading database) is a medication database, and the third level database comprises: an approval database (second-level interpretation database), a consensus database (third-level interpretation database), and a clinical trial database (fourth-level interpretation database), the fourth-level database being a disease and variant literature information database (fifth-level interpretation database).
Further, on the basis of the above embodiments, the gene variation and disease information database includes a gene variation information database, a disease information database, and a disease drug information database.
The database of genetic variation information is used to store one or more selected from the group consisting of: gene name, introduction of gene function background, chromosome position, transcript number, gene variation RS number, signal channel of gene, gene variation nucleotide variation information, gene variation amino acid variation information, and function prediction result of sequence variation at nucleotide and amino acid level.
The disease information database is for storing one or more selected from the group consisting of: disease occurrence part, disease name, occurrence cause, disease characteristics, diagnostic method and index.
The disease drug database is for storing one or more selected from the group consisting of: the disease treatment medicine comprises other novel treatment medicines such as chemical medicines, targeted treatment medicines, immunotherapy medicines, gene therapy medicines and the like
Specifically, the gene variation information database includes gene names, introduction of gene function backgrounds, positions of chromosomes, transcript numbers, RS numbers of gene variations, signal paths of genes, nucleotide variation information (coding) of gene variations, amino acid variation information (protein) of gene variations, prediction results of nucleotide and amino acid level functions of sequence variations, and the like. The information retrieval mode is as follows: diseases, including but not limited to EAC, EVS, 1000 Genome Project, dbSNP, dbVar, ClinVar, OMIM, Human Gene Mutation Database, Human Genome Mutation Society, Leiden Open Mutation Database, DECIPHER, NCBI, RefSeqGene, Locus Reference Genomic (LRG), MitoMap, are searched in various people group databases, disease-specific databases, and sequence databases.
The disease information database includes, but is not limited to, related contents such as disease occurrence part, disease name, occurrence reason, disease feature, diagnostic method and index.
Further, based on the above embodiments, the disease and genetic variation and drug treatment approval information database is used for storing one or more selected from the group consisting of: drug commodity name, common name, indication information, use method, adverse reaction data.
The information retrieval hierarchy of the disease and genetic variation and drug treatment approval information database comprises two layers, wherein the first layer is disease and genetic variation information, and the second layer is genetic variation information.
Specifically, the contents stored in the database of information on approval of disease, genetic variation and drug treatment include drug commodity name, common name, indication information, using method, dosage and management, contraindications, warnings and preventive measures, adverse reaction data, drug interaction and specific use population information, the information retrieval hierarchy is two layers, the first layer is the information on disease + genetic variation, and the second layer is the information on genetic variation, and the retrieval is performed in each database of food and drug administration and drug database, including but not limited to CFDA, FDA, EMA and PMDA.
Further, based on the above embodiments, the disease and genetic variation and drug therapist consensus information database is used for storing diagnosis, treatment, monitoring and/or prognosis information related to the use of a drug with a genetic variation.
The information retrieval level of the disease and genetic variation and drug therapist consensus information database comprises two layers, wherein the first layer is disease and genetic variation information, and the second layer is genetic variation information.
Specifically, the content stored in the disease and genetic variation and drug therapist consensus information database includes recommended diagnosis, treatment, monitoring, prognosis information, etc. for the use of the genetic variation drug. The information retrieval hierarchy is two layers, the first layer is disease + gene variation information, the second layer is gene variation information, and retrieval is carried out in a consensus database of various major guidelines, including but not limited to NCCN, ASCO, CSCO, ESMO and expert consensus of various diseases.
Further, based on the above embodiments, the disease and genetic variation and drug therapy clinical trial information database is used for storing completed clinical trials and clinical trial information in recruitment, and includes one or more selected from the group consisting of: clinical study number, study name, study scheme, mutation detection method, sample number, population characteristics, study result and study conclusion;
the information retrieval level of the disease and genetic variation and drug therapy clinical trial information database comprises two layers, wherein the first layer is disease and genetic variation information, and the second layer is genetic variation information.
Specifically, the contents stored in the clinical trial information database for diseases and genetic variations and drug therapies include completed clinical trials and clinical trial information on recruits, and the contents include one or more selected from the group consisting of: the method comprises the steps of clinical research number, research name, research scheme, variation detection method, sample quantity, population characteristics, research result and research conclusion, wherein the information retrieval level is two layers, the first layer is disease + gene variation information, the second layer is gene variation information, and the information retrieval level is inquired in a clinical test database and comprises but is not limited to Clinicaltrails, a medicine intelligence network, a medicine crossing network and the like.
Further, on the basis of the above embodiments, the disease and variant literature information database is used for storing one or more selected from the group consisting of: journal name, tumor type, genetic variation information, detection method, population characteristics, sample number, research result, research conclusion, literature number PMID and journal IF factor.
The information retrieval hierarchy of the disease and mutation literature information database comprises two layers, wherein the first layer is disease and genetic mutation information, and the second layer is genetic mutation information.
Specifically, the content stored in the disease and variant literature information database includes one or more selected from the group consisting of: journal names, tumor types, genetic variation information, detection methods, population characteristics, sample numbers, research results, research conclusions, PMID (ID number of PubMed literature) and journal IF factors, wherein the information retrieval hierarchy is two layers, the first layer is disease + genetic variation information, the second layer is genetic variation information, and retrieval is performed in various large literature databases, including but not limited to PubMed, Google academy and the like.
In the embodiment, a multi-database interaction system for disease genetic variation and drug interpretation related to diseases is established, so that interpretation standards, procedures and models are established for the disease genetic variation and the drug interpretation. By applying the multi-database system, each variation can be quickly and accurately interpreted according to different levels, and the interpretation standard is rigorous and scientific, so that the system is applicable to accurate treatment of diseases.
Fig. 3 shows a flowchart of a multi-database interaction method provided in this embodiment, including:
s301, receiving a retrieval request of a retrieval terminal, wherein the retrieval request comprises a retrieval keyword.
And S302, interacting with a disease genetic variation and drug interpretation multi-database interaction system according to the retrieval request, and retrieving in the disease genetic variation and drug interpretation multi-database interaction system according to the retrieval key word to obtain disease genetic variation and drug evidence.
The disease gene variation and drug interpretation multi-database interaction system comprises a gene variation and disease information database, a drug treatment database and a disease and variation literature information database; the gene variation and disease information database is used for storing data related to gene variation and disease information; the medication database is used for storing medication-related data; the disease and variant literature information database is used for storing data related to the disease and variant literature.
S303, inquiring a preset correlation table to obtain the correlation between the disease gene variation and the drug evidence, and comparing the correlation with clinical direct medication standards to obtain a comparison result.
And S304, executing corresponding operation according to the comparison result.
Wherein the preset correlation table is a mapping table for storing correlations between disease genetic variation and drug evidence.
In the embodiment, interactive retrieval is carried out by establishing a multi-database interactive system consisting of a gene variation and disease information database, a drug treatment database and a disease and variation literature information database, the retrieval process is simple, and more accurate and comprehensive retrieval results can be obtained.
Further, on the basis of the above method embodiment, S304 specifically includes:
and if the correlation is smaller than the clinical direct medication standard, triggering a continuous retrieval instruction, and retrieving according to the continuous retrieval instruction.
In another embodiment, S304 specifically includes:
if the correlation is more than or equal to the clinical direct medication standard, a corresponding report is provided according to the disease gene variation and the drug evidence.
Specifically, in the multi-data interaction process, there are two processing modes:
the first data interaction processing method is that the method generally performs broad retrieval on all databases to obtain the evidence grade of each database, and is characterized in that the interpretation process is time-consuming, the interpretation result is wide in coverage, and the captured evidence grade result is not prominent, and specifically comprises the following steps: a primary database, namely a gene variation and disease information database, serving as an information retrieval database, receiving an original retrieval instruction 0 and initiating a request for retrieving a database device; and searching in a secondary database and a fourth-level database through related search entries to obtain disease genetic variation and drug evidence, and directly feeding back results to a report interpretation device to finish interpretation.
The first multidata interaction method based on broad search specifically includes the following steps, as shown in fig. 4:
s401, receiving a retrieval request of a retrieval terminal, wherein the retrieval request comprises a retrieval keyword;
s402, interacting with a disease genetic variation and drug interpretation multi-database interaction system according to the retrieval request, carrying out broad retrieval in each database of the disease genetic variation and drug interpretation multi-database interaction system according to the retrieval key words, and obtaining evidence grades related to the disease genetic variation and drugs of each database according to retrieval results;
s403, if the evidence grade is greater than the preset value, determining the database with the evidence grade greater than the preset value as a target database, and feeding back the retrieval result of the target database to an interpretation reporting device for interpretation;
wherein each database of the disease genetic variation and drug interpretation multi-database interaction system comprises a genetic variation and disease information database, a drug treatment database and a disease and variation literature information database; the gene variation and disease information database is used for storing data related to gene variation and disease information; the medication database is used for storing medication-related data; the disease and variant literature information database is used for storing data related to the disease and variant literature.
The broad search refers to searching all databases of a disease genetic variation and drug interpretation multi-database interaction system, and specific search sequences are not set for all databases.
The purpose of the broad search is to obtain all information related to genes and diseases, so that the setting that the evidence value is larger than a preset value is not needed, the broad search is defined as searching all databases for certain genetic variation to obtain the related evidence corresponding to the databases, comparing the related evidence according to the preset scoring table of the corresponding databases to obtain the relationship between all genetic variation and medicine evidence, and feeding back the search result to the interpretation reporting device for interpretation after all the evidence including high, medium and low evidences.
In the embodiment, interactive retrieval is carried out by establishing a multi-database interactive system consisting of a gene variation and disease information database, a drug treatment database and a disease and variation literature information database, the retrieval process is simple, and more accurate and comprehensive retrieval results can be obtained.
The multi-data interaction method based on the broad search can further comprise the following steps:
and S404, the interpretation report device interprets the retrieval result of the target database and generates an interpretation report.
And S405, the interpretation result counting device counts the levels of evidence levels related to the disease genetic variation and the medicines searched in each target database, sends the counted results to the interpretation report device, and receives the interpretation report sent by the interpretation report device.
The second data interaction processing method is that according to the disease genetic variation and the database evidence grade in the drug interpretation database device, data interaction processing is sequentially carried out on the drug genetic variation correlation, and the second data interaction processing method has the advantages that the interpretation flow can be effectively shortened, the most efficient evidence can be captured, and the accuracy of the interpretation result can be improved.
The second method for multiple database sequential interaction specifically includes the following steps, as shown in fig. 5:
s501, receiving an original retrieval instruction of a retrieval terminal, wherein the original retrieval instruction comprises a retrieval keyword;
s502, interacting with a disease genetic variation and drug interpretation multi-database interaction system according to the original retrieval instruction, and retrieving from a genetic variation information database, a disease information database and a disease drug database of the disease genetic variation and drug interpretation multi-database interaction system according to the retrieval key to obtain a drug list;
s503, searching in the disease and genetic variation and drug treatment approval information database according to the drug list and the search key words, and inquiring a preset correlation table according to a search result to obtain a first correlation between the disease genetic variation and the drug evidence;
s504, if the first correlation is smaller than a clinical direct medication standard, triggering a first continuous retrieval instruction, retrieving in a disease and gene variation and drug therapist consensus information database of the disease gene variation and drug interpretation multi-database interactive system according to the first continuous retrieval instruction and the retrieval key, and querying a preset correlation table according to the first correlation and the retrieval result to obtain a second correlation between the disease gene variation and drug evidence;
s505, if the second correlation is smaller than a clinical direct medication standard, triggering a second continuous retrieval instruction, retrieving in a disease and gene variation and drug therapy clinical trial information database of the disease gene variation and drug interpretation multi-database interactive system according to the second continuous retrieval instruction and the retrieval key word, and querying a preset correlation table according to the second correlation and the retrieval result to obtain a third correlation between the disease gene variation and drug evidence;
s506, if the third correlation is smaller than the clinical direct medication standard, triggering a third continuous retrieval instruction, and retrieving in a disease and variant literature information database of the disease gene variant and medication interpretation multi-database interactive system according to the third continuous retrieval instruction and the retrieval key word to obtain a final retrieval result;
and S507, if the first correlation/the second correlation/the third correlation are more than or equal to clinical direct medication standards, reading disease gene variation and medicines.
In the embodiment, interactive retrieval is carried out by establishing a multi-database interactive system consisting of a gene variation and disease information database, a drug treatment database and a disease and variation literature information database, the retrieval process is simple, and more accurate and comprehensive retrieval results can be obtained.
Wherein, S504 specifically includes:
if the first correlation is smaller than the clinical direct medication standard, triggering a first continuous retrieval instruction, retrieving in a disease and gene variation and drug treatment expert consensus information database of the disease gene variation and drug interpretation multi-database interactive system according to the first continuous retrieval instruction and the retrieval key to obtain disease gene variation and drug evidence, feeding back the disease gene variation and drug evidence to the gene variation and disease information database, synthesizing the retrieval results of the drug treatment database by the gene variation and disease information database, feeding back to the interpretation result statistical device, and querying a preset correlation table according to the current comprehensive retrieval result to obtain a second correlation of the disease gene variation and the drug evidence.
S506 specifically includes:
and if the interpretation result statistical device judges that the third correlation is smaller than the clinical direct medication standard, triggering a third continuous retrieval instruction to an interpretation report device, and retrieving in a disease and variation literature information database of the disease gene variation and medication interpretation multi-database interaction system according to the third continuous retrieval instruction and the retrieval key words to obtain a final retrieval result.
The multi-database sequential interaction method further comprises the following steps:
and S505, if the final retrieval result is judged to be smaller than the clinical direct medication standard, feeding back a third continuous retrieval instruction to the gene variation and disease information database.
In the actual interaction process, a primary database, namely a gene variation and disease information database, serves as an information retrieval database, receives an original retrieval instruction 0, and initiates a request for retrieving a database device; searching in a second-level database, namely a second-level unscrambling database, preferentially through related search entries to obtain disease genetic variation and drug evidence, and feeding the disease genetic variation and drug evidence back to a first-level unscrambling database and a search unscrambling result statistical device; the retrieval and interpretation result statistic device is used for judging the correlation between the gene variation of the currently retrieved disease and the drug evidence, and if the correlation reaches the clinical standard of drug administration, a No. 1 interpretation report instruction is sent to the interpretation report device; if the clinical direct medication standard is not met, feeding back the continuous retrieval information to the information retrieval database, and sending a continuous retrieval instruction 1.
The instruction No. 1 is that the interpretation report device can capture the currently searched disease genetic variation and drug evidence data, generate an interpretation report, and end the whole interpretation process.
The continuous search instruction 1 is a process of sequentially searching the third-level interpretation database through the information search database and acquiring disease genetic variation and drug evidence.
Processing continue retrieve instruction 1 includes the following steps:
the primary database, namely the genetic variation and disease information database, serves as an information retrieval database, and receives the continuous retrieval instruction 1 and requests for initiating continuous retrieval of the database device.
And searching in a second-level database, namely a third-level reading database preferentially through related search entries to obtain disease genetic variation and drug evidence, feeding the disease genetic variation and drug evidence back to the first-level reading database, and feeding the disease genetic variation and drug evidence back to the search reading result statistical device after the first-level reading database synthesizes second-level reading results.
The retrieval and interpretation result statistic device judges the correlation between the disease gene variation and the drug evidence which are retrieved by the first level and the second level at present, and if the correlation reaches the clinical standard of drug administration, a No. 2 interpretation report instruction is sent to the interpretation report device; if the clinical direct medication standard is not met, feeding back the continuous retrieval information to the information retrieval database, and sending a continuous retrieval instruction 2.
The instruction No. 2 is that the interpretation report device can capture the currently searched disease genetic variation and drug evidence data, generate an interpretation report, and end the whole interpretation process.
The continuous search instruction 2 refers to a process of sequentially searching the fourth-level interpretation database through the information search database and acquiring disease genetic variation and drug evidence.
Processing continue retrieve instruction 2 includes the steps of:
the primary database, namely the genetic variation and disease information database, serves as an information retrieval database, and receives the continuous retrieval instruction 2 and initiates a request for continuous retrieval of the database device.
And searching in a second-level database, namely a fourth-level reading database preferentially through related search entries to obtain disease genetic variation and drug evidence, feeding the disease genetic variation and drug evidence back to the first-level reading database, and feeding the disease genetic variation and drug evidence back to the search reading result statistical device after the first-level reading database synthesizes second-level and third-level reading results.
The retrieval and interpretation result statistic device judges the correlation between the disease gene variation and the drug evidence which are currently integrated with the first level, the second level and the third level retrieval, and if the correlation reaches the clinical standard of drug administration, a No. 3 interpretation report instruction is sent to the interpretation report device; if the clinical direct medication standard is not met, the continuous retrieval information is fed back to the information retrieval database, and a continuous retrieval instruction 3 is sent.
Issuing the instruction of the interpretation report No. 3 means that the interpretation report device can capture the currently searched disease genetic variation and medicine evidence data, generate an interpretation report and finish the whole interpretation process.
The continuous retrieval instruction 3 refers to a process of sequentially searching the fifth-level interpretation database through the information retrieval database and acquiring disease genetic variation and drug evidence.
Processing continue retrieve instruction 3 includes the steps of:
the primary database, namely a gene variation and disease information database, is used as an information retrieval database, receives a continuous retrieval instruction 3 and initiates a request for continuously retrieving the database device;
and searching in a fourth-level database, namely a fifth-level reading database preferentially through related search entries to obtain disease genetic variation and drug evidence, feeding the disease genetic variation and drug evidence back to the first-level reading database, and feeding the disease genetic variation and drug evidence back to the search reading result statistical device after the first-level reading database synthesizes second-level, third-level reading results and fourth-level reading results.
The retrieval and interpretation result statistic device is used for judging the correlation between the gene variation of the currently retrieved disease and the drug evidence, and issuing a No. 4 interpretation report instruction if the correlation reaches the clinical drug administration standard; if the clinical direct medication standard is not met, a No. 5 reading report instruction is given.
The instruction No. 4 is to generate an interpretation report by interpreting the disease genetic variation and the evidence data of the drug which can be retrieved by the interpretation reporting device, and to end the whole interpretation process.
The instruction of No. 5 interpretation report is to generate an interpretation report by interpreting the disease genetic variation and the evidence data of the drug which can be retrieved by the interpretation report device, and to end the whole interpretation process.
For example, for the search instruction 0, the information processing module generates the following search results:
and for the retrieval result of the retrieval instruction 0, the information statistical module judges that the score is more than or equal to 50 points, triggers the No. 1 interpretation report instruction, and triggers the continued retrieval instruction 1 if the score is not more than 50 points.
For the information processing module to continue to search instruction 1, the search results appear as follows:
and for the retrieval result of the retrieval instruction 1, the information statistical module judges that the score is more than or equal to 50 points, triggers the No. 2 interpretation report instruction, and triggers the continued retrieval instruction 2 if the score is not more than 50 points.
For the information processing module to continue the retrieval instruction 2, the following retrieval results appear:
and for the retrieval result of the retrieval instruction 2, the information statistical module judges that the score is more than or equal to 50 points, triggers the No. 3 reading report instruction, and triggers the continued retrieval instruction 3 if the score is not more than 50 points.
For the information processing module to continue the retrieval instruction 3, the following retrieval results appear:
and for the retrieval result of the retrieval instruction 3, the information statistical module judges that the score is more than or equal to 50 points, triggers the No. 4 interpretation report instruction, and triggers the No. 5 interpretation report instruction if the score is not more than 50 points.
Wherein, the second level interpretation database-consistent drug indications and genetic variation information (CFDA) is recorded as CS 2; second level interpretation database-consistent drug indications with genetic variation information (others) are denoted as OS 2; second level interpretation database-inconsistent drug indications with genetic variation information (CFDA) as CN 2; second level interpretation database-consistent (other) information of drug indications and genetic variation is marked as ON 2; the third level reading database, which is the same as the information of drug indications and genetic variation (domestic), is recorded as CS 3; the third level interpretation database-consistent (other) information of drug indications and genetic variation is recorded as OS 3; the third level reading database, which is marked as CN3 when the drug indications are inconsistent with the genetic variation information (domestically); the third level interpretation database-drug indications consistent with genetic variation information (others) are marked as ON 3.
The final score was rated as follows:
by adopting the interaction method provided by the embodiment, a gene variation and drug interpretation database related to the disease can be established, and interpretation standards, processes and models for the gene variation and the drug interpretation of the disease are established; by using the multi-database interaction method and the multi-database interaction system, each variation can be quickly and accurately interpreted according to different levels, the interpretation standard is strict and scientific, and the method and the system can be applied to accurate treatment of diseases.
Fig. 6 shows a schematic structural diagram of a broad-search-based multi-database interaction device provided by the present embodiment, where the device includes: a retrieval request receiving module 601, a broad retrieval module 602 and an evidence level judging module 603, wherein:
the retrieval request receiving module 601 is configured to receive a retrieval request of a retrieval terminal, where the retrieval request includes a retrieval keyword;
the broad search module 602 is configured to interact with a disease genetic variation and medication interpretation multi-database interaction system according to the search request, perform broad search in each database of the disease genetic variation and medication interpretation multi-database interaction system according to the search keyword, and obtain an evidence grade related to the disease genetic variation and medication in each database according to a search result;
the evidence grade judging module 603 is configured to determine, if the evidence grade is greater than a preset value, the database with the evidence grade greater than the preset value as a target database, and feed back a retrieval result of the target database to the interpretation reporting device for interpretation;
wherein each database of the disease genetic variation and drug interpretation multi-database interaction system comprises a genetic variation and disease information database, a drug treatment database and a disease and variation literature information database; the gene variation and disease information database is used for storing data related to gene variation and disease information; the medication database is used for storing medication-related data; the disease and variant literature information database is used for storing data related to the disease and variant literature.
Specifically, the retrieval request receiving module 601 is configured to receive a retrieval request of a retrieval terminal, where the retrieval request includes a retrieval key; the broad search module 602 is configured to interact with a disease genetic variation and medication interpretation multi-database interaction system according to the search request, perform broad search in each database of the disease genetic variation and medication interpretation multi-database interaction system according to the search keyword, and obtain an evidence grade related to the disease genetic variation and medication in each database according to a search result; the evidence grade determining module 603 is configured to determine, if the evidence grade is greater than the preset value, the database with the evidence grade greater than the preset value as a target database, and feed back a retrieval result of the target database to the interpretation reporting device for interpretation.
In the embodiment, interactive retrieval is carried out by establishing a multi-database interactive system consisting of a gene variation and disease information database, a drug treatment database and a disease and variation literature information database, the retrieval process is simple, and more accurate and comprehensive retrieval results can be obtained.
Further, on the basis of the above embodiment of the apparatus, the apparatus further comprises:
and the interpretation module is used for interpreting the retrieval result of the target database and generating an interpretation report.
Further, on the basis of the above embodiment of the apparatus, the apparatus further comprises:
and the statistical module is used for counting the evidence grades of the disease genetic variation and the medicine searched in each target database, counting the heights of the evidence grades, sending the statistical result to the interpretation report device, and receiving the interpretation report sent by the interpretation report device.
The multiple database interaction device based on broad search in this embodiment may be used to implement the above method embodiments, and the principle and technical effect are similar, and will not be described herein again.
Referring to fig. 7, the electronic device includes: a processor (processor)701, a memory (memory)702, and a bus 703;
wherein the content of the first and second substances,
the processor 701 and the memory 702 complete communication with each other through the bus 703;
the processor 701 is configured to call the program instructions in the memory 702 to execute the methods provided by the above-described method embodiments.
The present embodiments disclose a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, enable the computer to perform the methods provided by the above-described method embodiments.
The present embodiments provide a non-transitory computer-readable storage medium storing computer instructions that cause the computer to perform the methods provided by the method embodiments described above.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
It should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (8)
1. A method for interacting multiple databases based on broad search is characterized by comprising the following steps:
receiving a retrieval request of a retrieval terminal, wherein the retrieval request comprises a retrieval keyword;
interacting with a disease genetic variation and drug interpretation multi-database interaction system according to the retrieval request, performing broad retrieval in each database of the disease genetic variation and drug interpretation multi-database interaction system according to the retrieval key words, and obtaining an evidence grade related to the disease genetic variation and the drug of each database according to the retrieval result;
sequentially carrying out data interaction processing on the drug gene variation correlation according to the level of database evidence in a disease gene variation and drug interpretation database device, if the correlation is smaller than a clinical direct drug administration standard, triggering a continuous retrieval instruction, and retrieving according to the continuous retrieval instruction;
scoring the retrieval results related to the disease gene variation and the medicines of each database according to the scores of the corresponding databases, and feeding back the scores of the data to an interpretation reporting device for interpretation;
wherein each database of the disease genetic variation and drug interpretation multi-database interaction system comprises a genetic variation and disease information database, a drug treatment database and a disease and variation literature information database; the gene variation and disease information database is used for storing data related to gene variation and disease information; the medication database is used for storing medication-related data; the disease and variant literature information database is used for storing data related to the disease and variant literature;
the method comprises the following steps of sequentially carrying out data interaction processing on the correlation of the genetic variation of the medicine according to the level of database evidence in a disease genetic variation and medicine interpretation database device, triggering a continuous retrieval instruction if the correlation is smaller than the clinical direct medication standard, and carrying out retrieval according to the continuous retrieval instruction, and specifically comprises the following steps:
searching in a gene variation information database, a disease information database and a disease medicine database of the disease gene variation and medicine interpretation multi-database interactive system according to the search keyword to obtain a medicine list;
searching in the disease and genetic variation and drug treatment approval information database according to the drug list and the search keywords, and inquiring a preset correlation table according to a search result to obtain a first correlation between the disease genetic variation and the drug evidence;
if the first correlation is smaller than the clinical direct medication standard, triggering a first continuous retrieval instruction, retrieving in a disease and gene variation and drug treatment expert consensus information database of the disease gene variation and drug interpretation multi-database interactive system according to the first continuous retrieval instruction and the retrieval key, and querying a preset correlation table according to the first correlation and the retrieval result to obtain a second correlation between the disease gene variation and the drug evidence;
if the second correlation is smaller than the clinical direct medication standard, triggering a second continuous retrieval instruction, retrieving in a disease and gene variation and drug therapy clinical trial information database of the disease gene variation and drug interpretation multi-database interaction system according to the second continuous retrieval instruction and the retrieval key, and querying a preset correlation table according to the second correlation and the retrieval result to obtain a third correlation between the disease gene variation and drug evidence;
and if the third correlation is smaller than the clinical direct medication standard, triggering a third continuous retrieval instruction, and retrieving in a disease and variation literature information database of the disease gene variation and medication interpretation multi-database interactive system according to the third continuous retrieval instruction and the retrieval key word to obtain a final retrieval result.
2. The method of claim 1, further comprising:
the interpretation report device interprets a search result of the target database and generates an interpretation report.
3. The method of claim 2, further comprising:
the interpretation result statistic device counts the levels of evidence levels related to the disease genetic variation and the drugs searched in each target database, sends the counted results to the interpretation report device, and receives the interpretation report sent by the interpretation report device.
4. A broad search based multi-database interaction apparatus, comprising:
a retrieval request receiving module, configured to receive a retrieval request of a retrieval terminal, where the retrieval request includes a retrieval keyword;
the broad search module is used for interacting with a disease genetic variation and drug interpretation multi-database interaction system according to the search request, carrying out broad search in each database of the disease genetic variation and drug interpretation multi-database interaction system according to the search keyword, and obtaining an evidence grade related to the disease genetic variation and the drug of each database according to the search result;
sequentially carrying out data interaction processing on the drug gene variation correlation according to the level of database evidence in a disease gene variation and drug interpretation database device, if the correlation is smaller than a clinical direct drug administration standard, triggering a continuous retrieval instruction, and retrieving according to the continuous retrieval instruction;
the evidence grade judging module is used for grading the search results related to the disease gene variation and the medicine of each database according to the scores of the corresponding databases and feeding back the scores of the data to the interpretation reporting device for interpretation;
wherein each database of the disease genetic variation and drug interpretation multi-database interaction system comprises a genetic variation and disease information database, a drug treatment database and a disease and variation literature information database; the gene variation and disease information database is used for storing data related to gene variation and disease information; the medication database is used for storing medication-related data; the disease and variant literature information database is used for storing data related to the disease and variant literature;
the method comprises the following steps of sequentially carrying out data interaction processing on the correlation of the genetic variation of the medicine according to the level of database evidence in a disease genetic variation and medicine interpretation database device, triggering a continuous retrieval instruction if the correlation is smaller than the clinical direct medication standard, and carrying out retrieval according to the continuous retrieval instruction, and specifically comprises the following steps:
searching in a gene variation information database, a disease information database and a disease medicine database of the disease gene variation and medicine interpretation multi-database interactive system according to the search keyword to obtain a medicine list;
searching in the disease and genetic variation and drug treatment approval information database according to the drug list and the search keywords, and inquiring a preset correlation table according to a search result to obtain a first correlation between the disease genetic variation and the drug evidence;
if the first correlation is smaller than the clinical direct medication standard, triggering a first continuous retrieval instruction, retrieving in a disease and gene variation and drug treatment expert consensus information database of the disease gene variation and drug interpretation multi-database interactive system according to the first continuous retrieval instruction and the retrieval key, and querying a preset correlation table according to the first correlation and the retrieval result to obtain a second correlation between the disease gene variation and the drug evidence;
if the second correlation is smaller than the clinical direct medication standard, triggering a second continuous retrieval instruction, retrieving in a disease and gene variation and drug therapy clinical trial information database of the disease gene variation and drug interpretation multi-database interaction system according to the second continuous retrieval instruction and the retrieval key, and querying a preset correlation table according to the second correlation and the retrieval result to obtain a third correlation between the disease gene variation and drug evidence;
and if the third correlation is smaller than the clinical direct medication standard, triggering a third continuous retrieval instruction, and retrieving in a disease and variation literature information database of the disease gene variation and medication interpretation multi-database interactive system according to the third continuous retrieval instruction and the retrieval key word to obtain a final retrieval result.
5. The apparatus of claim 4, further comprising:
and the interpretation module is used for interpreting the retrieval result of the target database and generating an interpretation report.
6. The apparatus of claim 5, further comprising:
and the statistical module is used for counting the evidence grades of the disease genetic variation and the medicine searched in each target database, counting the heights of the evidence grades, sending the statistical result to the interpretation report device, and receiving the interpretation report sent by the interpretation report device.
7. An electronic device, comprising:
at least one processor; and
at least one memory communicatively coupled to the processor, wherein:
the memory stores program instructions executable by the processor, the processor invoking the program instructions to perform the method of any of claims 1 to 3.
8. A non-transitory computer-readable storage medium storing a computer program that causes a computer to perform the method according to any one of claims 1 to 3.
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