CN110298564A - Biomedical product evaluation method, device, medium, terminal based on artificial intelligence - Google Patents
Biomedical product evaluation method, device, medium, terminal based on artificial intelligence Download PDFInfo
- Publication number
- CN110298564A CN110298564A CN201910519756.XA CN201910519756A CN110298564A CN 110298564 A CN110298564 A CN 110298564A CN 201910519756 A CN201910519756 A CN 201910519756A CN 110298564 A CN110298564 A CN 110298564A
- Authority
- CN
- China
- Prior art keywords
- product
- evaluation
- index
- biomedical
- evaluation index
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/30—Semantic analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Game Theory and Decision Science (AREA)
- Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Computational Linguistics (AREA)
- General Health & Medical Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application provides biomedical product evaluation method, device, medium, terminal based on artificial intelligence comprising: assessment indicator system is constructed based on biological medicine class document；The assessment indicator system includes the evaluation index that one or more are used to evaluate the product comprehensive performance of biomedical product；It is that every evaluation index assigns corresponding evaluation weight according to preset weight assignment strategy；Using semantic analysis algorithm, the achievement data of every evaluation index is extracted from the document for be associated with biomedical product, generates index score data of the biomedical product in every evaluation index accordingly；According to index score data of the biomedical product in every evaluation index and the evaluation weight data of every evaluation index, the comprehensive performance score data of the biomedical product is generated.The application is reduced because mistake uses product or has used the failure of inappropriate product bring scientific research project, is saved time and the fund cost of life science and field of medicaments scientific research project, is improved field of biomedicine scientific research efficiency.
Description
Technical field
This application involves intelligent Evaluation technical fields, more particularly to the biomedical product evaluation side based on artificial intelligence
Method, device, medium, terminal.
Background technique
With the improvement of living standards, demand of the people to health and medical level is growing.With this condition, global
Each state has all put into a huge sum of money to biomedical research.
Although biomedical research is well-known hard-core technology industry, various novel research directions emerge one after another,
But since product category needed for studying is various (about 100,000 kinds), enormous amount (is greater than 10,000,000 kinds), and size supplier is very more
And it is irregular.
Currently, biological study takes the operation mode in laboratory that clearly industry and quality standard, shopping goods do not have
Having can objective standard for reference；And each product is all only simply enumerated in existing product select tools/website, provides production
Product price, this can not bring enough reference significances to the selection of researcher, and most biological studies is caused to be had to piece
Face has data by oneself with reference to supplier, and even simple multiselect several prods carry out integrated test, this usually needs to expend magnanimity
Time search, test, and in the case where result is undesirable, whole discs inspection.It is very common the result is that discovery scientific research
The quality problems of product itself result in research failure.This makes the energy of researcher be difficult to be absorbed in science itself, seriously
Flow of research has been dragged slowly, huge waste also is caused to scientific input.
Summary of the invention
In view of the foregoing deficiencies of prior art, the application is designed to provide the biological medicine based on artificial intelligence
Product evaluation method, apparatus, medium, terminal, the selection for solving biomedical product in the prior art are unilateral and inaccurate
The problems such as.
In order to achieve the above objects and other related objects, the first aspect of the application provides a kind of biomedical product evaluation
Method is applied to computer equipment；The described method includes: constructing assessment indicator system based on biological medicine class document；Institute's commentary
Valence index system includes the evaluation index that one or more are used to evaluate the product comprehensive performance of biomedical product；According to preset
Weight assignment strategy is that every evaluation index assigns corresponding evaluation weight；Using semantic analysis algorithm, from being associated with biological doctor
The achievement data that every evaluation index is extracted in the document of medicine product generates the biomedical product accordingly and refers in items evaluation
The index score data put on；According to index score data and items of the biomedical product in every evaluation index
The evaluation weight data of evaluation index generate the comprehensive performance score data of the biomedical product.
In some embodiments of the first aspect of the application, which comprises calculate separately identical product classification
The comprehensive performance score data of multiple biomedical products of affiliated difference manufacturer；By these biomedical products by synthesis
The form that performance scores height is ranked up externally is shown.
In some embodiments of the first aspect of the application, which comprises calculate separately identical product classification
The comprehensive performance score data of multiple biomedical products of affiliated difference manufacturer；By these biomedical products according to its institute
The different experiments method of application is sorted out, and by the biomedical product in every a kind of experimental method to press comprehensive performance score
The form that height is ranked up externally is shown.
In some embodiments of the first aspect of the application, which comprises externally show the biopharmaceutical production
Product and product related information；The product related information includes: the use condition letter of the documentation & info of document where product, product
Any one or more of combination of test result information of breath and product in various biological medicine experimental methods.
In some embodiments of the first aspect of the application, the evaluation index includes: that document influence power, document are delivered
Application direction, researcher's scoring, third party evaluation data reporting, the neck of time, document citation times, product in the literature
Study temperature, user's evaluation and any one or more of combination of product demand index in domain.
In some embodiments of the first aspect of the application, the preset weight assignment strategy includes: to comment for items
Valence index assigns fixed evaluation weight；Alternatively, assigning the customized evaluation value tuple obtained from outside for every evaluation index
According to；Alternatively, being assigned according to the correlation degree of every evaluation index and the product comprehensive performance of product to be evaluated for every evaluation index
Give corresponding evaluation weight.
In some embodiments of the first aspect of the application, which comprises commenting in the assessment indicator system
Valence index is screened for outside, and/or the evaluation weight of every evaluation index is arranged for outside, to form the index body customized
System.
In order to achieve the above objects and other related objects, the second aspect of the application provides a kind of biomedical product evaluation
Device comprising: index system establishment module, for constructing assessment indicator system based on biological medicine class document；The evaluation
Index system includes the evaluation index that one or more are used to evaluate the product comprehensive performance of biomedical product；Weight assignment mould
Block, for being that every evaluation index assigns corresponding evaluation weight according to preset weight assignment strategy；Index score generates mould
Block extracts the index number of every evaluation index for utilizing semantic analysis algorithm from the document for be associated with biomedical product
According to generating index score data of the biomedical product in every evaluation index accordingly；Comprehensive performance score generates mould
Block, for commenting according to index score data of the biomedical product in every evaluation index and every evaluation index
Valence weighted data generates the comprehensive performance score data of the biomedical product.
In order to achieve the above objects and other related objects, the third aspect of the application provides a kind of computer-readable storage medium
Matter, is stored thereon with computer program, and the computer program realizes the biomedical product evaluation when being executed by processor
Method.
In order to achieve the above objects and other related objects, the fourth aspect of the application provides a kind of electric terminal, comprising: place
Manage device and memory；The memory is used to execute the memory storage for storing computer program, the processor
Computer program, so that the terminal executes the biomedical product evaluation method.
As described above, biomedical product evaluation method, device, medium, the terminal based on artificial intelligence of the application, tool
Have following the utility model has the advantages that the application constructs the index system for evaluating every biomedical products based on existing document, with
Objective marking mode makes up professional standard in the prior art and objectively evaluates vacancy and make up the one-sidedness of pure subjective assessment,
To greatly reduce because mistake uses product or has used the failure of inappropriate product bring scientific research project, life is greatly saved
Time and the fund cost of science and field of medicaments scientific research project, promote the success rate of product testing, significantly improve biomedicine
Field scientific research efficiency.
Detailed description of the invention
Fig. 1 is shown as the flow diagram of biomedical product evaluation method in one embodiment of the application.
Fig. 2 is shown as the structural schematic diagram of biomedical product evaluating apparatus in one embodiment of the application.
Fig. 3 is shown as the structural schematic diagram of electric terminal in one embodiment of the application.
Specific embodiment
Illustrate presently filed embodiment below by way of specific specific example, those skilled in the art can be by this specification
Disclosed content understands other advantages and effect of the application easily.The application can also pass through in addition different specific realities
The mode of applying is embodied or practiced, the various details in this specification can also based on different viewpoints and application, without departing from
Various modifications or alterations are carried out under spirit herein.It should be noted that in the absence of conflict, following embodiment and implementation
Feature in example can be combined with each other.
As used in herein, singular " one ", "one" and "the" are intended to also including plural form, unless
There is opposite instruction in context.It will be further understood that term "comprising", " comprising " show there are the feature, operation,
Element, component, project, type, and/or group, but it is not excluded for one or more other features, operation, element, component, project, kind
Presence, appearance or the addition of class, and/or group.Term "or" and being interpreted as including property of "and/or" used herein, or meaning
Taste any one or any combination.Therefore, " A, B or C " or " A, B and/or C " mean " it is following any one: A；B；C；A and
B；A and C；B and C；A, B and C ".Only when the combination of element, functions or operations is inherently mutually exclusive under certain modes,
It will appear the exception of this definition.
For the objective standard for selecting lack can for reference of biomedical product in the prior art, it is often necessary to expend
The suitable product of magnanimity time search, because the quality problems of research products itself lead to research or the failure of an experiment, this Shen
It please propose product evaluation method, apparatus, storage medium and electric terminal that data are used based on product citation/history,
Be intended to by delivering the service condition in document to each product, for product provide one it is objective, comprehensively, and reliable
Index system, the index system consider many index of scientist's care, including document influence power, deliver the time, reference time
Number, many factors such as application direction of product make overall merit.
As shown in Figure 1, showing the flow diagram of biomedical product evaluation method in one embodiment of the application.This implementation
Biomedical product evaluation method in example includes step S101~S104.
It should be noted that biomedical product evaluation method provided herein is related to large number of document,
The huge waste for completing or allowing to complete to will also result in social resources is difficult in the case where without the help of intelligent equipment,
So the evaluation method of the application is applied to computer equipment.
The computer equipment is, for example, desktop computer, laptop, tablet computer, smart phone, smart television, a
The PCs such as personal digital assistant (Personal Digital Assistant, abbreviation PDA) comprising memory, storage control
Device processed, one or more processing units (CPU), Peripheral Interface, RF circuit, voicefrequency circuit, loudspeaker, microphone, input/output
(I/O) subsystem, display screen, other outputs or the control components such as equipment and outside port；The computer equipment may be used also
To be server, the server can be arranged in one or more property servers according to many factors such as function, loads,
It can also be made of server cluster be distributed or concentration.
In step s101, assessment indicator system is constructed based on biological medicine class document；The assessment indicator system includes
One or more are used to evaluate the evaluation index of the product comprehensive performance of biomedical product.
It should be strongly noted that the product comprehensive performance of the biomedical product both includes biomedical product itself
Quality, also include applicability of the biomedical product in different scientific experiments, product price or the easy practicability of product
Etc. performance, so that user be helped to find the stronger biomedical product of comprehensive performance according to evaluation index.
In one embodiment, the biological medicine class document refers to the written historical materials for recording biological medicine related content,
It can be printed form, miniature type, computer reading type or document of acoustic image type etc..In addition, the biological medicine class text
The mode of publication offered includes but is not limited to books (textbook, masterpiece, general monograph, science popularization popular literature, informational reference book
Deng), serial publication (such as periodical, newspaper, annual publication), special document (such as patent document, normative document, degree
Paper, Science Report, meeting paper, government publication, archives material, product information etc.) or other bibliography (such as medicines
Product explanation, reagent specification etc.) etc., the present embodiment is not construed as limiting this.
In one embodiment, the biomedical product includes but is not limited to: p53 antibody, protein-interacting research examination
Agent box, p21siRNA, DMEM cell culture medium, cell transfection kit, cell culture serum, MBP enzyme linked immuno-adsorbent assay
Kit, the relevant inhibitor activator such as apoptosis inhibitor of signal path, Autophagy-related
Protein, human recombination protein, nucleic acid electrophoresis apparatus etc..
It in step s 102, is that every evaluation index assigns corresponding evaluation weight according to preset weight assignment strategy.
In one embodiment, the evaluation index includes but is not limited to: document influence power, document deliver time, document quilt
Quote number, product application direction in the literature, researcher's scoring, third party evaluation data reporting, area research temperature,
User's evaluation and product demand index etc..
Wherein, the document citation times include the total degree by other reference citations and/or are all biological medicine
The number of other reference citations of class, the document that preferably there is high-impact in biological medicine industry (such as " Nature ",
The top academic journals such as " Sience ", " Cell ") cited in number.The third party evaluation data reporting is applicable to non-public affairs
Document is opened, also referred to as private material can obtain data reporting by special third party evaluation mechanism or platform.Area research heat
Degree is primarily referred to as whether field applied by the biomedical product belongs to popular research field.Product demand index major embodiment
In the demand of product, output etc..User's evaluation includes author and/or reader to the biological medicine mentioned in document
The evaluation of product is mainly reflected in word evaluation (such as " effect is good ", " effect is poor ", " and not working " keyword), or
Person also may be embodied in author, reader or other users to scoring of the product etc..
In one embodiment, the preset weight assignment strategy includes that fixed evaluation value is assigned for every evaluation index
Weight, that is, the evaluation index fixed for the different equal in-service evaluation weights of biomedical product.It should be noted that this implementation
In the fixed evaluation index of alleged weight include the case where that the weighted value of each evaluation index is identical and immobilizes, also include respectively commenting
The weighted value of valence index is different and the case where immobilizing.
In one embodiment, the preset weight assignment strategy includes assigning for every evaluation index from outside obtaining
Customized evaluation weight data.So-called customized evaluation weight data can for example be formed according to user input data, so as to
For user according to the customized setting evaluation weight of self-demand, the richer more suitable evaluation result that is customized.
In one embodiment, the preset weight assignment strategy includes according to every evaluation index and product to be evaluated
The correlation degree of product comprehensive performance assigns corresponding evaluation weight for every evaluation index, that is, according to product to be evaluated
It is different and preset different evaluation weights.For example, being directed to the more common higher biomedical product of demand, can will evaluate
The weight of demand index this index in index is set as higher, and the weight of other evaluation indexes is accordingly set low；For compared with
For the biomedical product of unexpected winner, the weight of third party evaluation data reporting this index can be set as higher, and be commented other
The weight of valence index accordingly sets low etc..
In one embodiment, the evaluation index in the assessment indicator system is screened for outside, and/or every evaluation index
Evaluation weight for outside be arranged, with formed customize index system.In this present embodiment, user can be according to project demands
Or the factors such as own interests, required evaluation index, and the customized tax weight of evaluation index to be selected are selected, to be formed
The index system of customization, very flexibly and be easier to meet the needs of user is changeable.
In step s 103, using semantic analysis algorithm, items is extracted from the document for be associated with biomedical product and are commented
The achievement data of valence index generates index score data of the biomedical product in every evaluation index accordingly.
In one embodiment, using natural language analysis algorithm (Natural Language Processing, NLP)
Or the tools such as machine learning (Machine Learning, ML) semantic analysis algorithm, and combine python, Pandas, Math,
The data processing tools such as collections and Mysql carry out the operation such as word segmentation processing and contextual analysis processing to literature content,
Extracted from document and integrate relevant evaluation index, achievement data etc., and it is special to integrate biomedical product information, biology
Various information such as industry dictionary form objective product evaluation system.It should be noted that NLP tool itself has belonged to existing skill
Art, therefore repeat no more in the present embodiment.
Specifically, being extracted from literature content using semantic analysis algorithm the time is delivered as evaluation index " document is delivered
The achievement data of time ", deliver the time it is later represent that this document is more recent, then the index score of the evaluation index is higher；
Conversely, deliver the time it is more early represent that this document is more remote, then the index score of the evaluation index is lower.Based on similar original
Reason, the periodical that document is delivered is more famous, and the application direction of product is wider, and the scoring of researcher is higher, third party evaluation report
Accuse data it is better, area research is burning hoter, and product consumption is higher, then this document document influence power, document deliver the time,
Document citation times, product application direction in the literature, researcher's scoring, third party evaluation data reporting, field are ground
The index score data studied carefully in the evaluation indexes such as temperature, user's evaluation and product demand index is higher.
In step S104, according to index score data of the biomedical product in every evaluation index and each
The evaluation weight data of item evaluation index, generate the comprehensive performance score data of the biomedical product.
In one embodiment, which comprises calculate separately the multiple of the affiliated different manufacturers of identical product classification
The comprehensive performance score data of biomedical product, and by these biomedical products to be arranged by comprehensive performance score height
The form of sequence is externally shown, for example, these biomedical products are sorted from high to low by comprehensive performance score, consequently facilitating making
User quickly and efficiently chooses high-quality from the biomedical product for being under the jurisdiction of same category but being produced by different manufacturers of magnanimity
Measure product.
In one embodiment, which comprises calculate separately the multiple of the affiliated different manufacturers of identical product classification
The comprehensive performance score data of biomedical product, and by these biomedical products according to different experiments method applied by it
Sorted out, and the form by the biomedical product in every a kind of experimental method to be ranked up by comprehensive performance score height
Externally show.
For example, user's search is used in p53 (gene name) antibody in immunoblotting (western blot),
Can then be identified from magnanimity document it is all can be in the inner P53 product used of immunoblotting (western blot), and press
It is shown from high to low according to the quality score of P53 product, consequently facilitating user is under the jurisdiction of same category but by difference from magnanimity
The high quality of products for being applied to immunoblotting is quickly and efficiently chosen in the biomedical product of producer's production.
In one embodiment, which comprises externally show the biomedical product and product related information；It is described
Product related information includes: the documentation & info of document where product, the use condition information of product and product in various biologies
Any one or more of combination of test result information in pharmaceutical experiment method.
Such as: user on displayed page by finger when being touched or key mouse tool clicks all one's life object medical product, example
Such as click P53 antibody product, then displayed page can show the related information of P53 antibody product, such as: P53 antibody product
Document source information, the use condition information of P53 antibody product, P53 antibody product are in immunoblotting (western
Blot test result data in) etc., the function effectively avoid quadratic search, comprehensive, objective, expeditiously convenient for user
Grasp the quality condition of the product.
As shown in Fig. 2, showing the structural schematic diagram of biomedical product evaluating apparatus in one embodiment of the application.The dress
Set includes: index system establishment module 21, weight assignment module 22, index score generation module 23 and comprehensive performance score
Generation module 24.
Index system establishment module 21 is used to construct assessment indicator system based on biological medicine class document；The evaluation index
System includes the evaluation index that one or more are used to evaluate the product comprehensive performance of biomedical product；Weight assignment module 22 is used
In being that every evaluation index assigns corresponding evaluation weight according to preset weight assignment strategy；Index score generation module 23 is used
In utilizing semantic analysis algorithm, the achievement data of every evaluation index is extracted from the document for be associated with biomedical product, according to
To generate index score data of the biomedical product in every evaluation index；Comprehensive performance score generation module 24 is used
In the evaluation value according to index score data of the biomedical product in every evaluation index and every evaluation index
Tuple evidence generates the comprehensive performance score data of the biomedical product.
It should be noted that biomedical product evaluating apparatus provided in this embodiment, embodiments thereof and biopharmaceutical production
The embodiment of product evaluation method is similar, and so it will not be repeated.In addition, it will be appreciated that the division of the modules of apparatus above is only
A kind of division of logic function can be completely or partially integrated on a physical entity in actual implementation, can also be physically
It separates.
As shown in figure 3, showing the structural schematic diagram of another electric terminal provided by the embodiments of the present application.This example provides
Electric terminal, comprising: processor 31 and memory 32；Memory 32 connect with processor 31 by system bus and completes phase
Communication between mutually, memory 32 hold electric terminal for running computer program for storing computer program, processor 31
Each step in row S101~S104 above.
System bus mentioned above can be Peripheral Component Interconnect standard (Peripheral Component
Interconnect, abbreviation PCI) bus or expanding the industrial standard structure (Extended Industry Standard
Architecture, abbreviation EISA) bus etc..The system bus can be divided into address bus, data/address bus, control bus etc..
Only to be indicated with a thick line in figure, it is not intended that an only bus or a type of bus convenient for indicating.Communication connects
Mouth is for realizing the communication between database access device and other equipment (such as client, read-write library and read-only library).Storage
Device may include random access memory (Random Access Memory, abbreviation RAM), it is also possible to further include non-volatile deposit
Reservoir (non-volatile memory), for example, at least a magnetic disk storage.
Above-mentioned processor can be general processor, including central processing unit (Central Processing Unit,
Abbreviation CPU), network processing unit (Network Processor, abbreviation NP) etc.；It can also be digital signal processor
(Digital Signal Processing, abbreviation DSP), specific integrated circuit (Application Specific
Integrated Circuit, abbreviation ASIC), field programmable gate array (Field-Programmable Gate Array,
Abbreviation FPGA) either other programmable logic device, discrete gate or transistor logic, discrete hardware components.
In one embodiment, the application provides a kind of computer readable storage medium, is stored thereon with computer program, institute
State each step realized in S101~S104 above when computer program is executed by processor.Those of ordinary skill in the art can
To understand: realizing that all or part of the steps of above-mentioned each method embodiment can be by the relevant hardware of computer program come complete
At.Computer program above-mentioned can be stored in a computer readable storage medium.When being executed, it includes upper for executing to the program
The step of stating each method embodiment；And storage medium above-mentioned includes: that ROM, RAM, magnetic or disk etc. are various can store
The medium of program code.
In conclusion the application provides biomedical product evaluation method, device, medium, terminal based on artificial intelligence,
The application constructs the index system for evaluating every biomedical products based on existing document, with objective marking mode more
It mends professional standard in the prior art and objectively evaluates vacancy and make up the one-sidedness of pure subjective assessment, to greatly reduce because of mistake
The failure for missing using product or having used inappropriate product bring scientific research project, greatly saves life science and field of medicaments section
An object time and fund cost are ground, the success rate of product testing is promoted, significantly improves field of biomedicine scientific research efficiency.Institute
With the application effectively overcomes various shortcoming in the prior art and has high industrial utilization value.
The principles and effects of the application are only illustrated in above-described embodiment, not for limitation the application.It is any ripe
Know the personage of this technology all can without prejudice to spirit herein and under the scope of, carry out modifications and changes to above-described embodiment.Cause
This, those of ordinary skill in the art is complete without departing from spirit disclosed herein and institute under technical idea such as
At all equivalent modifications or change, should be covered by claims hereof.
Claims (10)
1. a kind of biomedical product evaluation method based on artificial intelligence, which is characterized in that be applied to computer equipment；It is described
Method includes:
Assessment indicator system is constructed based on biological medicine class document；The assessment indicator system includes one or more for evaluating life
The evaluation index of the product comprehensive performance of object medical product；
It is that every evaluation index assigns corresponding evaluation weight according to preset weight assignment strategy；
Using semantic analysis algorithm, the achievement data of every evaluation index is extracted from the document for be associated with biomedical product,
Index score data of the biomedical product in every evaluation index is generated accordingly；
According to the evaluation of index score data of the biomedical product in every evaluation index and every evaluation index
Weighted data generates the comprehensive performance score data of the biomedical product.
2. the method according to claim 1, wherein the described method includes:
Calculate separately the comprehensive performance score data of multiple biomedical products of the affiliated different manufacturers of identical product classification；
These biomedical products are externally shown in the form being ranked up by comprehensive performance score height.
3. according to the method described in claim 2, it is characterized in that, which comprises
Calculate separately the comprehensive performance score data of multiple biomedical products of the affiliated different manufacturers of identical product classification；
These biomedical products are sorted out according to different experiments method applied by it, and will be in every a kind of experimental method
Biomedical product externally shown in the form being ranked up by comprehensive performance score height.
4. according to the method in claim 2 or 3, which is characterized in that the described method includes:
Externally show the biomedical product and product related information；The product related information includes: document where product
Documentation & info, product test result information in various biological medicine experimental methods of use condition information and product
Any one or more of combination.
5. the method according to claim 1, wherein the evaluation index includes: that document influence power, document are delivered
Application direction, researcher's scoring, third party evaluation data reporting, the neck of time, document citation times, product in the literature
Study temperature, user's evaluation and any one or more of combination of product demand index in domain.
6. the method according to claim 1, wherein the preset weight assignment strategy includes:
Fixed evaluation weight is assigned for every evaluation index；Or
The customized evaluation weight data obtained from outside are assigned for every evaluation index；Or
According to the correlation degree of every evaluation index and the product comprehensive performance of product to be evaluated, phase is assigned for every evaluation index
The evaluation weight answered.
7. the method according to claim 1, wherein the described method includes:
Evaluation index in the assessment indicator system is screened for outside, and/or every evaluation index evaluation weight for outside
Setting, to form the index system customized.
8. a kind of biomedical product evaluating apparatus based on artificial intelligence characterized by comprising
Index system establishment module, for constructing assessment indicator system based on biological medicine class document；The assessment indicator system
Evaluation index including one or more product comprehensive performances for being used to evaluate biomedical product；
Weight assignment module, for being that every evaluation index assigns corresponding evaluation weight according to preset weight assignment strategy；
Index score generation module extracts each for utilizing semantic analysis algorithm from the document for be associated with biomedical product
The achievement data of item evaluation index, generates index score data of the biomedical product in every evaluation index accordingly；
Comprehensive performance score generation module, for the index goals for according to the biomedical product in every evaluation index
Accordingly and the evaluation weight data of every evaluation index, the comprehensive performance score data of the biomedical product is generated.
9. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program quilt
Processor realizes the biomedical product evaluation method described in any one of claims 1 to 7 based on artificial intelligence when executing.
10. a kind of electric terminal characterized by comprising processor and memory；
The memory is for storing computer program；
The processor is used to execute the computer program of the memory storage, so that the terminal executes such as claim 1
To the biomedical product evaluation method described in any one of 7 based on artificial intelligence.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910519756.XA CN110298564A (en) | 2019-06-17 | 2019-06-17 | Biomedical product evaluation method, device, medium, terminal based on artificial intelligence |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910519756.XA CN110298564A (en) | 2019-06-17 | 2019-06-17 | Biomedical product evaluation method, device, medium, terminal based on artificial intelligence |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110298564A true CN110298564A (en) | 2019-10-01 |
Family
ID=68028118
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910519756.XA Pending CN110298564A (en) | 2019-06-17 | 2019-06-17 | Biomedical product evaluation method, device, medium, terminal based on artificial intelligence |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110298564A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114242188A (en) * | 2021-12-02 | 2022-03-25 | 清华大学 | Method and device for screening electrochemical nitrogen fixation catalytic material and storage medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104978347A (en) * | 2014-04-11 | 2015-10-14 | 中国中医科学院中医临床基础医学研究所 | Data mining method and data mining system for sensitive keywords in Chinese biomedical literature database |
| CN106156483A (en) * | 2016-01-18 | 2016-11-23 | 李雪 | A kind of risk evaluating method based on data in literature, device and server |
| CN107256426A (en) * | 2017-06-19 | 2017-10-17 | 湖北省食品药品监督检验研究院 | A kind of drug safety confidence index system and construction method based on intelligent algorithm |
| CN108074115A (en) * | 2016-11-11 | 2018-05-25 | 上海文化广播影视集团有限公司 | A kind of TV programme copyright valve estimating system and its appraisal procedure |
| CN109299062A (en) * | 2018-07-02 | 2019-02-01 | 北京市天元网络技术股份有限公司 | A kind of quality evaluating method and system towards document category digital resource metadata |
| US20190172584A1 (en) * | 2017-05-12 | 2019-06-06 | The Regents Of The University Of Michigan | Individual and cohort pharmacological phenotype prediction platform |
-
2019
- 2019-06-17 CN CN201910519756.XA patent/CN110298564A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104978347A (en) * | 2014-04-11 | 2015-10-14 | 中国中医科学院中医临床基础医学研究所 | Data mining method and data mining system for sensitive keywords in Chinese biomedical literature database |
| CN106156483A (en) * | 2016-01-18 | 2016-11-23 | 李雪 | A kind of risk evaluating method based on data in literature, device and server |
| CN108074115A (en) * | 2016-11-11 | 2018-05-25 | 上海文化广播影视集团有限公司 | A kind of TV programme copyright valve estimating system and its appraisal procedure |
| US20190172584A1 (en) * | 2017-05-12 | 2019-06-06 | The Regents Of The University Of Michigan | Individual and cohort pharmacological phenotype prediction platform |
| CN107256426A (en) * | 2017-06-19 | 2017-10-17 | 湖北省食品药品监督检验研究院 | A kind of drug safety confidence index system and construction method based on intelligent algorithm |
| CN109299062A (en) * | 2018-07-02 | 2019-02-01 | 北京市天元网络技术股份有限公司 | A kind of quality evaluating method and system towards document category digital resource metadata |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114242188A (en) * | 2021-12-02 | 2022-03-25 | 清华大学 | Method and device for screening electrochemical nitrogen fixation catalytic material and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Dao et al. | DeepYY1: a deep learning approach to identify YY1-mediated chromatin loops | |
| Clarke et al. | Appyters: Turning Jupyter Notebooks into data-driven web apps | |
| Leonelli | What difference does quantity make? On the epistemology of Big Data in biology | |
| Small | Cited documents as concept symbols | |
| Lance et al. | Multimodal single cell data integration challenge: results and lessons learned | |
| Cavalcanti et al. | Drivers of digital transformation adoption: A weight and meta-analysis | |
| Clarke et al. | Addressing data sparseness in contextual population research: Using cluster analysis to create synthetic neighborhoods | |
| Montepare | Subjective age: Toward a guiding lifespan framework | |
| Khan et al. | Five steps to conducting a systematic review | |
| Peters | Bio-informational capitalism | |
| Block et al. | Are family firms doing more innovation output with less innovation input? A replication and extension | |
| GARCÍA‐CARDEÑA et al. | Mechanosensitive endothelial gene expression profiles: scripts for the role of hemodynamics in atherogenesis? | |
| Ioannidis | The importance of potential studies that have not existed and registration of observational data sets | |
| Hoerl et al. | Applying statistical thinking to ‘Big Data’problems | |
| Ribes et al. | Organizing for ontological change: The kernel of an AIDS research infrastructure | |
| Pleasant et al. | Measuring health literacy in adults: An overview and discussion of current tools | |
| Chen et al. | Trans-species learning of cellular signaling systems with bimodal deep belief networks | |
| Whaley et al. | Knowledge organization systems for systematic chemical assessments | |
| Petek Šter et al. | Prediction of intended career choice in family medicine using artificial neural networks | |
| Han et al. | MAResNet: predicting transcription factor binding sites by combining multi-scale bottom-up and top-down attention and residual network | |
| O’Toole et al. | Types, topics and trends: A ten-year review of research journals in science education | |
| Yi et al. | Impact of energy enterprise exports on technological innovation: PSM analysis based on Chinese industrial enterprise database | |
| Pin et al. | The development of public perception research in the genomics field: an empirical analysis of the literature in the field | |
| CN110298564A (en) | Biomedical product evaluation method, device, medium, terminal based on artificial intelligence | |
| Beer | Lost in words |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20191001 |
|
| RJ01 | Rejection of invention patent application after publication |