Ao.Univ.-Prof. Dipl.-Ing. Dr. Werner HORN
Center for Medical Statistics, Informatics, and Intelligent Systems
(Section for Artificial Intelligence)
Knowledge-Based Systems, Temporal Data Abstraction, Visualization using
Our research on knowledge-based systems focus on the representation and usage of knowledge in medical application systems. Knowledge is used to support medical decision-making, therapy planning, data visualization and quality control. Knowledge-based technology is applied with the intention to support physicians and nurses in their daily routine tasks as well as in complex decision support.
One example application is VIE-VISU, a telemedical service system which intensifies contacts between a diabetes health care center and patients with diabetes mellitus type I. Data acquisition using mobiles phones is integrated with knowledge-based information technology for data processing resulting in therapy advice using SMS. A knowledge based visualization modules using metaphor graphics supports diabetologists in the fast comprehension of the complicated data acquired from the patients.
A second example is the closed-loop control of inspired oxygen in ventilated newborn infants. The software system analyses continuous transcutaneous SaO2 measurements. It tries to optimize the oxygen delivery to a ventilated newborn infant by automatically adjusting FiO2 settings. The FiO2 controller utilizes temporal data abstraction methods to achieve robust therapy changes. The FiO2 controller is not designed for emergency interventions but for optimizing oxygen delivery during "quiet" intervals. The system is developed in cooperation with the Department of Software Technology of the Technical University of Vienna and the Department of Neonatology, University
Temporal data abstraction, automated reasoning,
Intelligent information visualization, Metaphor graphics,
Integration of information technology with telecommunication,
Embedding of artificial intelligence modules in routine care systems
Rami B., Popow C., Horn W., Waldhoer T., Schober E.: Telemedical support to improve glycemic control in adolescents with type 1 diabetes mellitus, Eur. J. Pediatr., 165(10):701-705, 2006.
Urschitz M.S., Horn W., Seyfang A., Hallenberger A., Herberts T., Miksch S., Popow C., Mueller-Hansen I., Poets C.F.: Automatic Control of the Inspired Oxygen Fraction in Preterm Infants. A Randomized Cross-over Trial, Am. J. Respir. Crit. Care Med., 170(10):1095-1100, 2004.
Popow C., Horn W., Rami B., Schober E.: VIE-DIAB: a Support Program for Telemedical Glycaemic Control, in: Dojat M., et al.(eds.): Artificial Intelligence in Medicine. Proceedings of the 9th Conference on Artificial Intelligence in Medicine in Europe (AIME-2003), Springer, Berlin, 2003.
Horn W., Popow C., Miksch S., Seyfang A.: Benefits of a Knowledge-based System for Parenteral Nutrition Support: a Report after 5 Years of Routine Daily Use, in F.van Harmelen (ed.), ECAI 2002, Proceedings of the 15th European Conference on Artificial Intelligence, IOS Press, Amsterdam, 2002.
Horn W., Popow C., Miksch S., Kirchner L., Seyfang A.: Development and Evaluation of VIE-PNN, a Knowledge-based System for Calculating the Parenteral Nutrition of Newborn Infants, Artificial Intelligence in Medicine, 24(3)207-218, 2002.
Horn W., Popow C., Unterasinger L.: Support for Fast Comprehension of ICU Data: Visualization Using Metaphor Graphics, Methods of Information in Medicine, 40, 421-424, 2001.
Horn W.: AI in Medicine on its Way from Knowledge-intensive to Data-intensive Systems, Artificial Intelligence in Medicine, 23(1)5-12, 2001.
Seyfang A., Miksch S., Horn W., Urschitz M.S., Popow C., Poets C.F.: Using Time-Oriented Data Abstraction Methods to Optimize Oxygen Supply for Neonates, in Quaglini S., et al.(eds.), Artificial Intelligence in Medicine, Proceedings of the 8th Conference on Artificial Intelligence in Medicine in Europe (AIME-2001), Springer, Berlin, pp.217-226, 2001.