管理科学与工程系学术讲座

题目:数据驱动下的医疗决策研究

Research on Data Driven Medical Decision Making  

演讲人:段春艳博士后，华盛顿大学、同济大学、阿肯色大学联合培养博士后

时间:2019年7月11日下午2:00-3:00

地点:同济大厦A楼309教室 

讲座摘要:

Rule-based methods have been found quite effective in many medical applications due to their better interpretability and greater power in data processing and analysis. Most methods for rule discovery were developed based on the rule generation and rule pruning steps. However, existing rule discovery methods focused on pruning out the redundant and irrelevant rules and didn’t specifically consider the optimal selection of features for rule construction. Identifying the optimal set of features for rule construction is critical for better explaining, cost saving and medical decision making. Thus, we developed a novel framework for building a rule-based sparse model by optimizing the number of features those generate rules and identifying most “informative” rules from complex dataset by group level sparsity (feature → rule). This framework set up a rule-based sparse model with better prediction accuracy, enhanced interpretation and cost saving (less features) by integrating random forest, sparse learning, feature selection and mathematical programming. The proposed rule-based sparse model was demonstrated on a real-world dataset of diabetes and its effectiveness and superiority over thestate-of-the-art methods were thoroughly evaluated by classification accuracy, survival analysis and cost analysis. 

演讲嘉宾简介:

Dr. Chunyan Duan is a Joint Postdoctoral Fellow at University of Washington & Tongji University & University of Arkansas. She is an active scholar in the field of Artificial Intelligence and Decision Making, with more than 15 papers published in journals including 9 papers published in SCI indexed journals. Most of her publications appeared in leading international journals, such as International Journal of Production Economics, Neural Computing and Applications, and Computers & Industrial Engineering.Dr. Duan hosted some scientific research projects such as the National Natural Science Foundation in China, the Project funded by China Postdoctoral Science Foundation (Special Funding), and International Postdoctoral Exchange Fellowship Program.Dr. Duan served as the reviewer of Resources, Conservation and Recycling, IEEE Access, Journal of Ambient Intelligence and Humanized Computing and so on.