Marek J. Druzdzel
Affiliations: | University of Pittsburgh, Pittsburgh, PA, United States |
Area:
decision analysis, decision theory, information science, computer science, artificial intelligenceGoogle:
"Marek Druzdzel"Parents
Sign in to add mentorMax Henrion | grad student | Carnegie Mellon | |
Herbert A. Simon | grad student | Carnegie Mellon |
Children
Sign in to add traineeJian Cheng | grad student | 2001 | University of Pittsburgh |
Denver Dash | grad student | 2003 | University of Pittsburgh |
Tsai-Ching Lu | grad student | 2003 | University of Pittsburgh |
Changhe Yuan | grad student | 2006 | University of Pittsburgh |
Mark Voortman | grad student | 2010 | University of Pittsburgh |
Adam T. Zagorecki | grad student | 2010 | University of Pittsburgh |
Martijn de Jongh | grad student | 2014 | University of Pittsburgh |
Tomasz D. Loboda | grad student | 2014 | University of Pittsburgh |
Parot Ratnapinda | grad student | 2014 | University of Pittsburgh |
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Publications
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Gupta A, Slater JJ, Boyne D, et al. (2019) Probabilistic Graphical Modeling for Estimating Risk of Coronary Artery Disease: Applications of a Flexible Machine-Learning Method. Medical Decision Making : An International Journal of the Society For Medical Decision Making. 272989X19879095 |
Arora P, Boyne D, Slater JJ, et al. (2019) Bayesian Networks for Risk Prediction Using Real-World Data: A Tool for Precision Medicine. Value in Health : the Journal of the International Society For Pharmacoeconomics and Outcomes Research. 22: 439-445 |
Orak NH, Small MJ, Druzdzel MJ. (2019) Bayesian network-based framework for exposure-response study design and interpretation. Environmental Health : a Global Access Science Source. 18: 23 |
Kraisangka J, Druzdzel MJ. (2019) Corrigendum to “A Bayesian network interpretation of the Cox's proportional hazard model” [Int. J. Approx. Reason. 103 (2018) 195–211] International Journal of Approximate Reasoning. 111: 51-52 |
Kraisangka J, Lohmueller L, Kanwar M, et al. (2019) Derivation of a Bayesian Network Model from an Existing Risk Score Calculator for Pulmonary Arterial Hypertension The Journal of Heart and Lung Transplantation. 38: S487-S488 |
Kraisangka J, Druzdzel MJ. (2018) A Bayesian Network Interpretation of the Cox's Proportional Hazard Model. International Journal of Approximate Reasoning : Official Publication of the North American Fuzzy Information Processing Society. 103: 195-211 |
Onisko A, Druzdzel MJ, Austin RM. (2018) Application of Bayesian network modeling to pathology informatics. Diagnostic Cytopathology |
Arora P, Boyne D, Druzdzel M. (2018) Graphical Probabilistic Models for Risk Prediction and Decision Making Using Real-World Data: A Developing Tool for the Era of Precision Medicine Value in Health. 21: S10 |
BENZA R, KRAISANGKA J, LOHMUELLER L, et al. (2018) APPLICATION OF A BAYESIAN NETWORK MODEL TO PREDICT OUTCOMES IN PULMONARY ARTERIAL HYPERTENSION Chest. 154: 1061A |
Zagorecki A, Łupińska-Dubicka A, Voortman M, et al. (2016) Modeling Women's Menstrual Cycles using PICI Gates in Bayesian Network. International Journal of Approximate Reasoning : Official Publication of the North American Fuzzy Information Processing Society. 70: 123-136 |