The Department of Computer Science invites you to an interesting seminar on the area of Artificial Intelligence applied to Medicine, titled “DBN-Extended: A Dynamic Bayesian Network Model Extended with Temporal Abstractions for Coronary Heart Disease Prognosis” with Kalia Orphanou.
Dynamic Bayesian networks (DBNs) are temporal probabilistic graphical models that model temporal events and their causal and temporal dependencies. Temporal abstraction (TA) is a knowledge-based process that abstracts raw temporal data into higher level interval-based concepts. In this research, we present an extended DBN model that integrates TA methods with DBNs applied for prognosis of the risk for coronary heart disease. More specifically, we demonstrate the derivation of TAs from data, which are used for building the network structure.
Machine learning algorithms are also used to learn the parameters of the model through data. The extended model is applied to a longitudinal medical dataset and its performance is compared to the performance of a DBN implemented without TAs. The obtained results demonstrate the predictive accuracy of our model and the effectiveness of our proposed approach.
ABOUT KALIA ORPHANOU
Kalia Orphanou obtained her PhD from the University of Cyprus in June 2017. She graduated with an MEng in Computer Science with Artificial Intelligence degree from the University of Southampton in 2009. After she finished her PhD, she was awarded an ERCIM Alain Bensoussan Fellowship Programme, where she was hosted by the Centrum Wiskunde & Informatica (CWI), in the Netherlands, for one year (May 2017 – April 2018). Currently, she is working as a special scientist at the Laboratory for Internet Computing (LINC) at the University of Cyprus and as a special teaching scientist at the Department of Computer Science at University of Cyprus. During her doctoral studies, she worked as a Teaching Assistant at the University of Cyprus from 2010 to 2013 and she also joined the LINC from 2013 to 2015. She has participated in the Erasmus+ mobility program during the period of 01/10/2015 – 29/02/2016 where she was hosted in the Laboratory of Biomedical Informatics at the University of Pavia in Italy. Her research interests include Bayesian networks, temporal abstraction, evolutionary algorithms, temporal data mining and their applications in medical expert systems.
