Marek J. Druzdzel

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Papers124 papers

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Risk stratification in pulmonary arterial hypertension using Bayesian analysis

Manreet K Kanwar,Mardi Gomberg-Maitland,Marius Hoeper, Christine Pausch, David Pittow,Geoff Strange, James J Anderson, Carol Zhao, Jacqueline V Scott,Marek J Druzdzel,Jidapa Kraisangka, Lisa Lohmueller

The European respiratory journal, pp.2000008, (2020)

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Bayesian Network Modeling: The Future of Pulmonary Arterial Hypertension Risk Stratification Through the PHORA Initiative

J. V. Scott,J. Kraisangka,M. Kanwar,M. Druzdzel,J. Antaki,D. Vizza,M. Simon, P. Correa-Jaque,R. L. Benza

AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, (2020)

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Bayesian Networks for Risk Prediction Using Real-World Data: A Tool for Precision Medicine

Paul Arora, Devon Boyne, Justin J Slater, Alind Gupta,Darren R Brenner,Marek J Druzdzel

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Resear..., no. 4 (2019): 439-445

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Bayesian network-based framework for exposure-response study design and interpretation

Nur H Orak,Mitchell J Small,Marek J Druzdzel

Environmental health : a global access science source, no. 1 (2019): 23

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PCV99 BAYESIAN NETWORKS AS AN EMERGING TOOL FOR DISEASE RISK ESTIMATION AND CLINICAL DECISION-MAKING: A REAL-WORLD EXAMPLE IN CORONARY ARTERY DISEASE

A. Gupta, J. Slater, N. Mitsakakis, D.J. Boyne,M.J. Druzdzel, D.R. Brenner, P. Arora

Value in Health, (2019)

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Moving Beyond Branching - Evaluating Educational Impact of Procedurally-Generated Virtual Patients

Dmitriy Babichenko,Marek J. Druzdzel, Neal Benedict, Gary Tabas, James B. McGee

SeGAH, pp.1-8, (2019)

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Probabilistic Graphical Modeling for Estimating Risk of Coronary Artery Disease: Applications of a Flexible Machine-Learning Method

Alind Gupta, Justin J Slater, Devon Boyne,Nicholas Mitsakakis, Audrey Béliveau,Marek J Druzdzel, Darren R Brenner, Selena Hussain,Paul Arora

Medical decision making : an international journal of the Society for Medical Decision Making, (2019)

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Bayesian Network vs. Cox's Proportional Hazard Model of PAH Risk - A Comparison

Jidapa Kraisangka,Marek J. Druzdzel, Lisa C. Lohmueller, Manreet K. Kanwar,James F. Antaki,Raymond L. Benza

AIME, pp.139-149, (2019)

EIBibtex

Corrigendum to “A Bayesian network interpretation of the Cox's proportional hazard model” [Int. J. Approx. Reason. 103 (2018) 195–211]

Jidapa Kraisangka,Marek J. Druzdzel

International Journal of Approximate Reasoning, (2019): 51-52

EIBibtex

Application of Bayesian network modeling to pathology informatics: ONISKO et al

Agnieszka Onisko,Agnieszka Onisko,Marek J. Druzdzel,Marek J. Druzdzel,R. Marshall Austin

Diagnostic Cytopathology, no. 1 (2019): 41-47

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Derivation of a Bayesian Network Model from an Existing Risk Score Calculator for Pulmonary Arterial Hypertension

J. Kraisangka, L.C. Lohmueller,M.K. Kanwar, C. Zhao,M.J. Druzdzel,J.F. Antaki,M.A. Simon,R.L. Benza

Journal of Heart and Lung Transplantation, no. 4 (2019)

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Application of Bayesian network modeling to pathology informatics

Agnieszka Onisko,Marek J Druzdzel,R Marshall Austin

Diagnostic cytopathology, (2018)

WOSBibtex

A Bayesian network interpretation of the Cox's proportional hazard model

Jidapa Kraisangka,Marek J. Druzdzel

International Journal of Approximate Reasoning, (2018): 195-211

Cited by4EIWOSBibtex

APPLICATION OF A BAYESIAN NETWORK MODEL TO PREDICT OUTCOMES IN PULMONARY ARTERIAL HYPERTENSION

Raymond L. Benza,Jidapa Kraisangka, Lisa C. Lohmueller, Carol Zhao,Mona Selej,Marek J. Druzdzel,James F. Antaki, Judith Speck,Manreet Kanwar

Chest, no. 4 (2018)

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Application of Bayesian Model to Predict Outcomes in Pulmonary Arterial Hypertension

Manreet Kanwar, Lisa C. Lohmueller, P. Correa,J. Kraisangka,M. Druzdzel,James F. Antaki,Raymond L. Benza

Journal of Heart and Lung Transplantation, no. 4 (2018)

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Performance Budget Planning: The Case of a Research University

M. J. Druzdzel, J. R. Kalagnanam

Computational Economics, (2018): 1-19

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Validation workflow for a clinical Bayesian network model in multidisciplinary decision making in head and neck oncology treatment

Mario A. Cypko,Matthaeus Stoehr, Marcin Kozniewski,Marek J. Druzdzel,Andreas Dietz,Leonard Berliner,Heinz U. Lemke

Int. J. Computer Assisted Radiology and Surgery, no. 11 (2017): 1959-1970

Cited by7EIWOSBibtex

Development and Preliminary Feasibility Testing of a Decision Support Tool for Childhood Anxiety Treatment

Oliver Lindhiem,Charles B. Bennett,Rinad S. Beidas,Damion J. Grasso,Dara Sakolsky,Marek J. Druzdzel

Cognitive and Behavioral Practice, no. 2 (2017): 199-207

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Making Large Cox's Proportional Hazard Models Tractable in Bayesian Networks

Jidapa Kraisangka,Marek J. Druzdzel

Probabilistic Graphical Models, pp.252-263, (2016)

Cited by4EIBibtex

Modeling women's menstrual cycles using PICI gates in Bayesian network

Adam Zagorecki, Anna Lupinska-Dubicka,Mark Voortman,Marek J. Druzdzel

International Journal of Approximate Reasoning, no. C (2016): 123-136

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