報告題目: Patient-centered Deep Learning Model and Diagnosis Service for Persons with Alzheimer’s Disease Services

時間:5月24日下午3點

地點:經管樓207

報告內容：Because pharmaceutical companies have failed to develop Alzheimer’s disease (AD) cure and treatment as of today, AD early detection and intervention becomes increasingly clear to be the best choice of improving quality of life for persons with AD at least in the near future. Thus, developing patient-centric predictive models and enabling self-diagnosis services are of great potential. This talk presents how recurrent neuron neatwork (RNN) models can be adopted in the AD early diagnosis modeling (AD-EDM). In particular, we show that the improved prediction accuracy of RNN AD-EDM can contribute to the delivery of self-diagnosis services for preclinical/early AD patients. By leveraging the fast development of big data technologies and machine learning methods, our AD-EDM tools will make a difference in discovering non-pharmacologic therapy solutions to slow AD progression.

報告人簡介：邱廣華，博士，現任美國賓州州立大學教授，服務科學國際研究會(Services Science Global)的創始人和主席，國際電子工程學會（IEEE）智能運輸系統學會服務與物流技術委員會的主席，運籌學和管理學研究協會（INFORMS）服務科學部的創建主席。他還擔任INFORMS Service Science 和 International Journal of Services Operations and Informatics 的主編, IEEE Transaction on System, Man and Cybernetics 和 IEEE Transaction on Industrial Informatics的副主編,International Journal of Data Mining and Bioinformatics, Journal of Engineering and Applied Sciences的董事編輯，和多家國際期刊的客座編輯。

信息管理與電子商務研究所