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1.Applied-information Technology in Improving the Administration of Drugs that Target Safety Information Warning Platform 2.Applied-information technology in fusion SVM partial least squares analysis of experimental data in the body of PET лл~~ |
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Paulwolf
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xwpjk996: 金幣+20, ★★★★★最佳答案 2014-12-02 16:05:48
xwpjk996: 金幣+20, ★★★★★最佳答案 2014-12-02 16:05:48
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Accession number: 20142317800696 Title: Applied-information technology in improving the administration of drugs that target safety information warning platform Authors: Xiong, Wang Ping1 Email author xiaoxiongxwp@126.com; Zhou, Xian1; Xu, Guo Liang1; Xiong, Ling Zhu1 Author affiliation: 1 Jiang Xi University of Traditional Chinese Medicine, NanChang, JiangXi, China Source title: Applied Mechanics and Materials Abbreviated source title: Appl. Mech. Mater. Volume: 540 Monograph title: Advanced Research on Mechanics, Manufacturing Engineering and Applied Technology II Issue date: 2014 Publication year: 2014 Pages: 431-434 Language: English ISSN: 16609336 E-ISSN: 16627482 ISBN-13: 9783038350958 Document type: Conference article (CA) Conference name: 2nd International Conference on Applied Mechanics and Manufacturing System, AMMS 2014 Conference date: April 26, 2014 - April 27, 2014 Conference location: Zhengzhou, China Conference code: 105441 Sponsor: Beijing Gireida Education Research Center; International Science and Education Researcher Association; VIP-Information Conference Center Publisher: Trans Tech Publications Abstract: In this paper, in order to improve safety as the goal of rational drug use by Oracle to establish a standardized and practical information on pharmaceutical information database to. Net development tools, monitored irrational drug prescription from a doctor or prescription medication before, pharmacy consultation and exchange of information, providing pharmacy services in three areas to build knowledge in order to improve the administration of information security as the goal of early warning systems and medicine formulations. © (2014) Trans Tech Publications, Switzerland. Number of references: 7 Main heading: Information technology Controlled terms: Artificial intelligence - Decision support systems - Knowledge management - Manufacture - Medicine - Security of data Uncontrolled terms: Development tools - Drug prescriptions - Early Warning System - Exchange of information - Pharmaceutical information - Pharmacy information - Rational drug use - Safety information Classification code: 461.6 Medicine and Pharmacology - 537.1 Heat Treatment Processes - 723 Computer Software, Data Handling and Applications - 903 Information Science - 903.3 Information Retrieval and Use DOI: 10.4028/www.scientific.net/AMM.540.431 Database: Compendex Compilation and indexing terms, © 2014 Elsevier Inc. |
2樓2014-12-01 23:38:12
Paulwolf
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Accession number: 20142517841029 Title: Applied-information technology in fusion SVM partial least squares analysis of experimental data in the body of PET Authors: Zhou, Xian1; Xiong, Ying1; Xiong, Wang Ping1 Email author xiaoxiongxwp@126.com; Xiong, Ling Zhu1 Author affiliation: 1 Jiang Xi University of Traditional Chinese Medicine, NanChang, JiangXi, China Source title: Advanced Materials Research Abbreviated source title: Adv. Mater. Res. Volume: 951 Monograph title: Advanced Research on Intelligent System, Mechanical Design Engineering and Information Engineering III Issue date: 2014 Publication year: 2014 Pages: 185-188 Language: English ISSN: 10226680 ISBN-13: 9783038351320 Document type: Conference article (CA) Conference name: 3rd International Conference on Intelligent Materials and Mechanical Engineering, MEE 2014 Conference date: May 24, 2014 - May 25, 2014 Conference location: Guangzhou, China Conference code: 105673 Sponsor: Beijing Gireida Education Research Center; ISER Association; VIP-Information Conference Center, China Publisher: Trans Tech Publications Ltd Abstract: Experimental data for the human body PET multi-variable, non-linear distribution and other characteristics, the use of fusion partial least squares support vector machine variables effectively extracted from the principal component, reducing the number of variables and the exclusion of noise information to construct a linear regression with the dependent variables model, fitting the model has good accuracy and generalization for PET clinical trials provide effective technical support and research ideas. © (2014) Trans Tech Publications, Switzerland. Number of references: 7 Main heading: Principal component analysis Controlled terms: Data mining - Design - Information technology - Intelligent systems - Least squares approximations - Multivariable systems - Polyethylene terephthalates - Support vector machines Uncontrolled terms: Dependent variables - Noise information - Non-linear distribution - Nonlinear data - Partial least square (PLS) - Partial least squares analysis - Principal Components - SVM Classification code: 408 Structural Design - 723 Computer Software, Data Handling and Applications - 815.1.1 Organic Polymers - 903 Information Science - 921.6 Numerical Methods - 922.2 Mathematical Statistics - 961 Systems Science DOI: 10.4028/www.scientific.net/AMR.951.185 Database: Compendex Compilation and indexing terms, © 2014 Elsevier Inc. |
3樓2014-12-01 23:38:46
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