您的位置 > 首页 > 会议讲座 > 信息管理与电子商务研究所系列讲座

信息管理与电子商务研究所系列讲座

来源:电子科技大学经济管理学院 | 2019-07-17 | 发布:经管之家

讲座题目:Individualized Prediction of Depressive Disorder in the Elderly: A Multitask

Deep Learning Approach

主讲人:张清鹏 副教授

主持人: 袁华 教授

时间:2019年7月16日(星期二)下午16:00

地点:电子科技大学清水河校区,经管楼C301

讲座简介:

Depressive disorder is one of the major public health problems among the elderly. An effective depression risk prediction model can provide insights on the disease progression and potentially inform timely targeted interventions. Therefore, research on predicting the onset of depressive disorder for elderly adults considering the sequential progression patterns is critically needed. This research aims to develop a state-of-the-art deep learning model for the individualized prediction of depressive disorder with a 22-year longitudinal survey data among elderly people in the United States. The experiments with the 22-year longitudinal survey data indicate that (a) machine learning models can provide an accurate prediction of the onset of depressive disorder for elderly individuals; (b) the temporal patterns of risk factors are associated with the onset of depressive disorder; and (c) the proposed multitask deep learning model exhibits superior performance as compared with baseline models. The results demonstrate the capability of deep learning-based prediction models in capturing temporal and high-order interactions among risk factors, which are usually ignored by traditional regression models. This research sheds light on the use of machine learning models to predict the onset of depressive disorder among elderly people. Practically, the proposed methods can be implemented as a decision support system to help clinicians make decisions and inform actionable intervention strategies for elderly people.

主讲人简介:

Qingpeng Zhang is an assistant professor with the school of data science at City University of Hong Kong. He received the B.S. degree in Automation from Huazhong University of Science and Technology, and the M.S. degree in Industrial Engineering and the Ph.D. degree in Systems and Industrial Engineering with a minor in Management Information Systems from The University of Arizona. Prior to joining CityU, he worked as a Postdoctoral Research Associate with The Tetherless World Constellation at Rensselaer Polytechnic Institute. He also worked at the Pacific Northwest National Laboratory and Chinese Academy of Sciences. His research interests include social informatics and social computing, complex networks, healthcare data analytics, data mining and semantic web. His work has been supported by the National Natural Science Foundation of China (PI), Health and Medical Research Fund of the Food and Health Bureau of Hong Kong SAR Government (PI), Guangdong Provincial Natural Science Foundation (PI), and the Theme-based Research Scheme of Research Grants Council (Co-I).

经济与管理学院

2019年7月15日

欢迎老师及同学参加!
本文已经过优化显示,查看原文请点击以下链接:
查看原文:http://www.mgmt.uestc.edu.cn/Document/ArticlePage?Id=42093

看图学经济more

京ICP备11001960号  京ICP证090565号 京公网安备1101084107号 论坛法律顾问:王进律师知识产权保护声明免责及隐私声明   主办单位:人大经济论坛 版权所有
联系QQ:2881989700  邮箱:service@pinggu.org
合作咨询电话:(010)62719935 广告合作电话:13661292478(刘老师)

投诉电话:(010)68466864 不良信息处理电话:(010)68466864