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Marek Druzdzel
Marek Druzdzel Professor Emeritus
Information Sciences Building, Room 2B13 412-624-9432


Institution of highest degree:
PhD, Carnegie Mellon University

Research Interests

Decision support systems, strategic planning, decision making under uncertainty, decision-theoretic methods in intelligent information systems.

All Publications

View in D-Scholarship

Recent Publications


Kraisangka, Jidapa and Druzdzel, Marek J. and Benza, Raymond (2016) A Risk Calculator for the Pulmonary Arterial Hypertension Based on a Bayesian Network. In: Working Notes of the 13th Annual Bayesian Modeling Applications Workshop (BMAW--2016), 29 June 2016 - 29 June 2016, New York City, NY.

Druzdzel, Marek J. (2016) Various Ways of Evaluating Models Learned from Data. In: 2nd Workshop on Advances in Data Science: International Workshop and Networking Event, 11 May 2016 - 14 May 2016, Holny Majera, Poland.

Babichenko, Dmitriy and Druzdzel, Marek J. (2016) ADMIT - A Web-Based System to Facilitate Graduate Admission. In: iConference 2016, 20 March 2016 - 23 March 2016, Philadelphia, PA.

Zagorecki, A and Łupińska-Dubicka, A and Voortman, M and Druzdzel, MJ (2016) Modeling women's menstrual cycles using PICI gates in Bayesian network. International Journal of Approximate Reasoning, 70. 123 - 136. ISSN 0888-613X

Natasha A. Loghmanpour, Manreet K. Kanwar, Marek J. Druzdzel, Raymond L. Benza, Srinivas Murali and James F. Antaki. A new Bayesian network-based risk strati cation model for prediction of short-term and long-term LVAD mortality. ASAIO Journal, 61(3):313-323, May/June 2015.

Natasha A. Loghmanpour, Marek J. Druzdzel and James F. Antaki. Cardiac Health Risk Strati cation System (CHRiSS): A Bayesian-based decision support system for Left Ventricular Assist Device (LVAD) therapy. PLoS ONE, 9(11):e111264, November 2014.

Ratnapinda, Parot, and Marek J. Druzdzel. "Learning discrete Bayesian network parameters from continuous data streams: What is the best strategy?" Journal of Applied Logic (2015).
Agnieszka Onisko and Marek J. Druzdzel. Impact of precision of Bayesian networks parameters on accuracy of medical diagnostic systems. Artificial Intelligence in Medicine, 57(3):197-206, March 2013.

Adam Zagorecki and Marek J. Druzdzel. Knowledge engineering for Bayesian
networks: How common are noisy-MAX distributions in practice?. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 43(1):186-195, January 2013.

Linda C. Santelices, Yajuan Wang, Don Severyn, Marek J. Druzdzel, Robert L. Kormos, James F. Antaki. Development of a hybrid decision support model for optimal ventricular assist device weaning. Annals of Thoracic Surgery, 90:713-720, 2010.