Prof Xue Li

School of Information Technology and Electrical Engineering

The University of Queensland, Australia

Talk Title:   AI for Personalized Medicine in Critical Care

报告题目：人工智能在个性化的重症监护运用

This talk will focus on our applications of machine learning and AI techniques in intensive care unit (ICU) for patients. Patients with similar conditions in ICU the may have different reactions for a given treatment. An effective personalised medicine can help save patient lives. The availability of recorded ICU data provides a huge potential to train and develop the decision support systems in ICU. However, there is no ground truth of best treatments. This makes existing supervised-learning based methods difficult to apply. In this talk, we propose an approach of clustering based Bayesian reinforcement learning. Firstly, we transform the multivariate time series records into a real-time Patient Sequence Model (PSM). After that, we computed the likelihood probability of treatments effect for all patients and cluster them based on that. Finally, we compute Bayesian reinforcement learning to derive personalised treatments. We tested our proposed method using 11,791 ICU patients’ records from MIMIC-III database. Results show that we are able to cluster patient based on their treatment effects. In addition, our method also provides better explainability and time-critical recommendation that are very important in a real ICU setting.

Biography

Dr Xue Li is a Professor in Data Science Division, School of Information Technology, the University of Queensland in Australia, and Honorary Professor in the School of Medicine, Griffith University, Australia. Dr Xue Li’s work on Big Data Analytics has attracted wide attentions recently. For example, he was listed as one of 50 “The Most Powerful people in Australia" on Big Data by the Financial Review - the Power Issue 2015; One of the “45 Stories of Australian-China 45-year celebration of Diplomatic relationship in 2018; the Microsoft Start Up Q Award 2014, Winner of the Best use of Open Data – QLD Premier’s Awards for Open Data 2014. His research interests are in database management, data analytics, and intelligent information systems. He is an Associate Editor of Journal of Advanced Internet of Things.  He also was an Editor on Board of International Journal of Management of Information Systems & Technology. He has over 210 publications as monograph, edited books, book chapters, and journal and conference papers, with Google Scholar citations 6,986 and H-Index 46.  He has successfully supervised 32 PhD students to graduation as their principal supervisor. In the University of Queensland, he taught many data science related courses including Advanced Database Systems, Web Information Systems, Cloud Computing, and Data Mining.