Marek J. Druzdzel

Affiliations: 
University of Pittsburgh, Pittsburgh, PA, United States 
Area:
decision analysis, decision theory, information science, computer science, artificial intelligence
Google:
"Marek Druzdzel"
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

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
See more...