Posted on Monday, March 10, 2014
Monday March 10, 2014 at 11:50 am
Presentation in Room ITE 459
ABSTRACT: Mild traumatic brain injury (mTBI) is an invisible injury that is poorly understood and its sequelae can be difficult to accurately diagnose.Patients who have been screened positive for mTBI are at an increased risk of depression, post-traumatic stress disorder (PTSD), headaches, sleep disorders, concentration difficulties, and other problems. During the last decade, a significant amount of attention has been given to the acquisition of clinical data from patients suffering from mTBI. Unfortunately, most of the data collection and analysis has focused on individual or specific aspects of the injury, not necessarily in comprehensive datasets that can enable research in multi-modal techniques to capture the complex biological state of mTBI patients. This talk will present (a) a large-scale informatics database that has been developed to enable interdisciplinary research on mTBI, (b) specific multi-modal analytical techniques necessary in the analysis of clinical data, and (c) innovative visual data mining techniques used to facilitate the exploration of the complex interactions triggered by mTBI.
SHORT BIO: Dr. Caban is the Acting Chief of Clinical and Research Informatics at the National Intrepid Center of Excellence (NICoE) at Walter Reed Bethesda. He received a Ph.D. in Computer Science at the University of Maryland, UMBC (2009), his M.S. degree in Computer Science from the University of Kentucky (2005), and his B.S. in Computer Science from the University of Puerto Rico (2002). Over the last 9 years Dr. Caban's research has focused on the design and development of techniques to analyze clinical and imaging data. His research and experience has given him the opportunity to work at top healthcare organizations including the National Institutes of Health (NIH), John Hopkins University, and the University of Maryland Medical Center, among others organizations. Dr. Caban is presently an adjunct faculty member at John Hopkins University Applied Physics Lab and an adjunct instructor at the Department of Computer Science at UMBC. Currently, he is serving as the Associate Editor of the JAMIA special issue on Visual Analytics in Healthcare and as the contracting officer representative (COR) and manager for the DoD program on "Watson-Like Technologies for TBI/PTSD Clinical Decision Support and Predictive Analytics".