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【物流讲坛】 Data-driven knowledge discovery for structural MRI of Alzheimer’s disease patients

发布时间:2016-09-26

 

  年痴呆症患者的结构性MRI的基于数据驱动的知识发现     

  主讲人:Giuseppe Di Fatta教授 

  时间:2016927日下午2:30 

  地点:物流学院学术报告厅 

  阿尔茨海默氏病(阿尔茨海默病)是一种慢性的神经退行性疾病,是造成约6%65岁及以上的人群发生老年痴呆症的主要原因。随着成像技术,如磁共振成像(磁共振成像)所产生的人类大脑数据可越来越多的被利用,用于对神经系统疾病的诊断及其成因识别的数据驱动方法引发了更多的兴趣。知识发现过程通常涉及复杂的结合预处理技术,统计方法,机器学习和数据挖掘算法,后处理和可视化技术的数据工作流程。本讲座针对这个方向阐述了详细的研究工作。令人期待的结果,像往常一样,为数据挖掘/数据科学界留下了许多问题和新的挑战。 

  Alzheimer’s disease (AD) is a chronic neurodegenerative disease which is largely responsible for dementia in around 6% of the population aged 65 and above. The growing availability of human brain data generated by imaging techniques, such as Magnetic Resonance Imaging (MRI), have resulted in a growing interest in data-driven approaches for the diagnosis of neurological disorders and for the identification of their causes. The knowledge discovery process typically involves complex data workflows that combine pre-processing techniques, statistical methods, machine learning and data mining algorithms, post-processing and visualisation techniques. This talk presents specific research efforts in this direction. The promising results, as usual, have exposed many issues and new challenges for the data mining/data science community.  

  个人简介: 

 

  Dr Giuseppe Di Fatta is an Associate Professor of Computer Science and the Head of the Department of Computer Science at the University of Reading, UK. In 1999, he was a research fellow at the International Computer Science Institute (ICSI), Berkeley, CA, USA. From 2000 to 2004, he was with the High-Performance Computing and Networking Institute of the National Research Council, Italy. From 2004 to 2006, he was with the University of Konstanz, Germany. His research interests include data mining algorithms, distributed and parallel computing, and multidisciplinary applications. He has published over 90 articles in peer-reviewed conferences and journals. He serves in the editorial board of the Elsevier Journal of Network and Computer Applications. He is the co-founder of the IEEE ICDM Workshop on Data Mining in Networks and has chaired several international events, such as the 2015 International Conference on Internet and Distributed Computing Systems. 

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