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Based on data mining technology integrated platform for clinical trials of new drug research

Author: ZhangDaYu
Tutor: HuangDiMing
School: University of Electronic Science and Technology
Course: Applied Computer Technology
Keywords: Drug clinical trials Data Mining Apriori algorithm Decision Trees Integrated platform
CLC: TP311.52
Type: Master's thesis
Year: 2008
Downloads: 126
Quote: 0
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Abstract


Pharmaceutical industry is an emerging high-tech-intensive industries, with good prospects for development. Drug clinical trials as an important part of the pharmaceutical industry in recent years have been expanding, which the trial management software put forward higher requirements. Automation, intelligence and network will be the main direction of development in this field. Described in this article based on data mining technology integrated platform for clinical trials of new drugs belonging to Sichuan key scientific and technological projects, the project's theme is studied by means of computer information technology, the establishment of an integrated platform for clinical trials of new drugs, clinical trials for new drugs to the entire process norms and monitoring its ability to accurately and efficiently evaluate the efficacy, toxicity and found to provide information support to tap the potential efficacy. Author As a project leader, involved in the project application, requirements analysis, algorithm design, code, and test most of the work. The platform is now in clinical trials of new drugs to the National Center (Chengdu) routine test, system stability, running in good condition. This article will focus on the application of data mining technology research. Data mining is to solve pattern recognition, machine learning, database technology in various fields such as large-scale practical application of some of the processes of the proposed set of methods, mainly from large databases efficiently find implicit knowledge or rule in which, and as a human expert decision support. The data mining techniques applied to drug clinical trials which can improve test efficiency, standardize testing procedures, followed by the testing process can effectively reduce the human and subjective factors, the nature of drug testing deepen understanding of the law, but also on the test data in addition Clinical evaluation of theoretical support. This paper will explain the following aspects of the research done in some of the work: 1, through the innovative application of Apriori algorithm, and designed a large sample study found efficacy (CEM) algorithm and the small sample of potential efficacy findings (SLE) algorithms, provide decision support for the efficacy analysis. The algorithm is now using C # code, and applied to the platform. 2, research and design based on decision tree induction subjects selection algorithm model, which will improve the effectiveness and objectivity of the data subject. 3, for project applications particularity and complexity analysis of the various modules within an integrated platform functionality. Built to meet the research needs a comprehensive platform to achieve the function of each module, and then completed a platform for system integration. 4, the design and implementation of dynamic random subjects assigned policy and its algorithm, which can efficiently get new drugs normal subjects groups. The algorithm has been the practical application, and greatly improve the test efficiency and automation. Running in good condition.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Program design,software engineering > Software Engineering > Software Development
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