Artikel dengan mandat akses publik - Marek J. DruzdzelPelajari lebih lanjut
Tidak tersedia di mana pun: 4
Validation workflow for a clinical Bayesian network model in multidisciplinary decision making in head and neck oncology treatment
MA Cypko, M Stoehr, M Kozniewski, MJ Druzdzel, A Dietz, L Berliner, ...
International journal of computer assisted radiology and surgery 12, 1959-1970, 2017
Mandat: Federal Ministry of Education and Research, Germany
Application of Bayesian network modeling to pathology informatics
A Onisko, MJ Druzdzel, RM Austin
Diagnostic cytopathology 47 (1), 41-47, 2019
Mandat: US Department of Defense, US National Institutes of Health
Designing the model patient: Data-driven virtual patients in medical education
D Babichenko, MJ Druzdzel, L Grieve, R Patel, J Velez, T Neal, J McCray, ...
2016 IEEE International Conference on Serious Games and Applications for …, 2016
Mandat: US National Institutes of Health
Modeling dynamic processes with memory by higher order temporal models
A Łupińska-Dubicka, MJ Druzdzel
Foundations of Biomedical Knowledge Representation: Methods and Applications …, 2015
Mandat: US National Institutes of Health
Tersedia di suatu tempat: 31
Knowledge engineering for Bayesian networks: How common are noisy-MAX distributions in practice?
A Zagorecki, MJ Druzdzel
IEEE Transactions on Systems, Man, and Cybernetics: Systems 43 (1), 186-195, 2012
Mandat: US National Institutes of Health
Impact of precision of Bayesian network parameters on accuracy of medical diagnostic systems
A Oniśko, MJ Druzdzel
Artificial intelligence in medicine 57 (3), 197-206, 2013
Mandat: US National Institutes of Health
A new Bayesian network-based risk stratification model for prediction of short-term and long-term LVAD mortality
NA Loghmanpour, MK Kanwar, MJ Druzdzel, RL Benza, S Murali, ...
ASAIO journal 61 (3), 313-323, 2015
Mandat: US National Institutes of Health
Risk stratification in pulmonary arterial hypertension using Bayesian analysis
MK Kanwar, M Gomberg-Maitland, M Hoeper, C Pausch, D Pittrow, ...
European Respiratory Journal 56 (2), 2020
Mandat: US National Institutes of Health
Development of a hybrid decision support model for optimal ventricular assist device weaning
LC Santelices, Y Wang, D Severyn, MJ Druzdzel, RL Kormos, JF Antaki
The Annals of thoracic surgery 90 (3), 713-720, 2010
Mandat: US National Institutes of Health
A Bayesian network interpretation of the Cox's proportional hazard model
J Kraisangka, MJ Druzdzel
International Journal of Approximate Reasoning 103, 195-211, 2018
Mandat: US Department of Defense, US National Institutes of Health
Learning discrete Bayesian network parameters from continuous data streams: What is the best strategy?
P Ratnapinda, MJ Druzdzel
Journal of Applied Logic 13 (4), 628-642, 2015
Mandat: US National Institutes of Health
Cardiac Health Risk Stratification System (CHRiSS): a Bayesian-based decision support system for left ventricular assist device (LVAD) therapy
NA Loghmanpour, MJ Druzdzel, JF Antaki
PloS one 9 (11), e111264, 2014
Mandat: US National Institutes of Health
Impact of bayesian network model structure on the accuracy of medical diagnostic systems
A Oniśko, MJ Druzdzel
Artificial Intelligence and Soft Computing: 13th International Conference …, 2014
Mandat: US National Institutes of Health
Making large Cox’s proportional hazard models tractable in Bayesian networks
J Kraisangka, MJ Druzdzel
Conference on Probabilistic Graphical Models, 252-263, 2016
Mandat: US National Institutes of Health
An approximation of surprise index as a measure of confidence
A Zagorecki, M Kozniewski, MJ Druzdzel
AAAI Fall Symposium-Technical Report, 39-41, 2015
Mandat: US National Institutes of Health
Discrete Bayesian network interpretation of the Cox’s proportional hazards model
J Kraisangka, MJ Druzdzel
Probabilistic Graphical Models: 7th European Workshop, PGM 2014, Utrecht …, 2014
Mandat: US National Institutes of Health
A Risk Calculator for the Pulmonary Arterial Hypertension Based on a Bayesian Network.
J Kraisangka, MJ Druzdzel, RL Benza
BMA@ UAI, 1-6, 2016
Mandat: US National Institutes of Health
Impact of quality of Bayesian network parameters on accuracy of medical diagnostic systems
A Onisko, MJ Druzdzel
Mandat: US National Institutes of Health
Bayesian network models with decision tree analysis for management of childhood malaria in Malawi
SB Taneja, GP Douglas, GF Cooper, MG Michaels, MJ Druzdzel, ...
BMC Medical Informatics and Decision Making 21 (1), 158, 2021
Mandat: US National Institutes of Health
Using expert elicitation to identify effective combinations of management actions for koala conservation in different regional landscapes
EB Camus, JR Rhodes, CA McAlpine, D Lunney, J Callaghan, ...
Wildlife Research 50 (7), 537-551, 2022
Mandat: Australian Research Council
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