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麻省大学波士顿校区Prof. Ping Chen 学术讲座

作者: 编辑: 发布时间:2014-07-15

【讲座题目】 Semantic Association Mining


【讲座嘉宾】 Prof .Ping Chen, University of Massachusetts Boston


【讲座时间】7月21日(星期一)下午15:00-16:30


【讲座地点】 米兰网页版,米兰(中国),米兰(中国)315教室


【摘要】  Discovery of risk factors affecting human health is very important. To medical researchers, these risk factors will provide valuable 


reasoning and modeling mechanism that are fundamentally important to medical and health research. In practice, health-related associations (risk factors) can provide basis for clinical decision making, health policy, and public guidance that directly impact 


health of individuals, families, communities, and populations. As the capability to capture and store medical data grows rapidly, 


the need for effective and efficient computation tools that facilitate such discoveries is high and increasing. This project aims to build an 


efficient medical association discovery system to extract significant, valid, non-redundant, and previously unknown associations 


of attributes (risk factors) from medical datasets. The goal and main innovations of this project are:


·         Integrating our knowledge-based approach with objective association mining method to generate only non-trivial, non-


redundant, valid, and previously unknown associations. These associations will serve as hypotheses and be further validated by biostatistic


 methods, which fundamentally changes current subjective formation of hypotheses to objective formation and discover radically different 


new knowledge; 


·         Building a research-grade medical association discovery system with a full suite of efficient and effective components: User Knowledge Acquisition 


Component, Semantic Network Building Component, Non-redundant Association Generation Component, Association Categorization 


Component, and Statistical Validation Component.