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ORCIDSzymon Wilk
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- affiliation: Poznan University of Technology, Poland
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2020 – today
- 2024
[j35]Mor Peleg
, Nicole Veggiotti, Lucia Sacchi, Szymon Wilk:
How can we reward you? A compliance and reward ontology (CaRO) for eliciting quantitative reward rules for engagement in mHealth app and healthy behaviors. J. Biomed. Informatics 154: 104655 (2024)- [j34]Martin Michalowski, Szymon Wilk, Wojtek Michalowski, Malvika Rao, Marc Carrier:
Provision and evaluation of explanations within an automated planning-based approach to solving the multimorbidity problem. J. Biomed. Informatics 156: 104681 (2024) - [c63]Martin Michalowski, Szymon Wilk, Jenny M. Bauer, Marc Carrier, Aurelien Delluc, Grégoire Le Gal, Tzu-Fei Wang, Deborah Siegal, Wojtek Michalowski:
Manually-Curated Versus LLM-Generated Explanations for Complex Patient Cases: An Exploratory Study with Physicians. AIME (2) 2024: 313-323 - [i6]Aneta Lisowska, Szymon Wilk, Laura Locati, Mimma Rizzo, Lucia Sacchi, Silvana Quaglini, Matteo Terzaghi, Valentina Tibollo, Mor Peleg:
Defining Effective Engagement For Enhancing Cancer Patients' Well-being with Mobile Digital Behavior Change Interventions. CoRR abs/2403.12007 (2024) - [i5]Alexandra Kogan, Roy Leizer, Szymon Wilk, David Glasspool:
A Hybrid Execution Environment for Computer-Interpretable Guidelines in PROforma. CoRR abs/2404.05011 (2024) - 2023
- [j33]Enea Parimbelli, Tommaso Mario Buonocore, Giovanna Nicora, Wojtek Michalowski, Szymon Wilk, Riccardo Bellazzi:
Why did AI get this one wrong? - Tree-based explanations of machine learning model predictions. Artif. Intell. Medicine 135: 102471 (2023) - [j32]Martin Michalowski, Malvika Rao, Szymon Wilk, Wojtek Michalowski, Marc Carrier:
Using graph rewriting to operationalize medical knowledge for the revision of concurrently applied clinical practice guidelines. Artif. Intell. Medicine 140: 102550 (2023) - [j31]Aneta Lisowska, Szymon Wilk, Mor Peleg:
SATO (IDEAS expAnded wiTh BCIO): Workflow for designers of patient-centered mobile health behaviour change intervention applications. J. Biomed. Informatics 138: 104276 (2023) - [j30]William Van Woensel, Samson W. Tu, Wojtek Michalowski, Syed Sibte Raza Abidi, Samina Abidi, José Ramón Alonso, Alessio Bottrighi, Marc Carrier, Ruth Edry, Irit Hochberg, Malvika Rao, Stephen P. Kingwell, Alexandra Kogan, Mar Marcos, Begoña Martínez-Salvador, Martin Michalowski, Luca Piovesan, David Riaño, Paolo Terenziani, Szymon Wilk, Mor Peleg:
A community-of-practice-based evaluation methodology for knowledge intensive computational methods and its application to multimorbidity decision support. J. Biomed. Informatics 142: 104395 (2023) - [j29]Elske Ammenwerth, Szymon Wilk, Zhengxing Huang:
Personalization in mHealth: Innovative informatics methods to improve patient experience and health outcome. J. Biomed. Informatics 147: 104523 (2023) - [i4]Aneta Lisowska, Szymon Wilk, Mor Peleg:
Personalizing Digital Health Behavior Change Interventions using Machine Learning and Domain Knowledge. CoRR abs/2304.03392 (2023) - [i3]Antonio Zaitoun, Tomer Sagi, Szymon Wilk, Mor Peleg:
Can Large Language Models Augment a Biomedical Ontology with missing Concepts and Relations? CoRR abs/2311.06858 (2023) - 2022
- [j28]Miriam Seoane Santos, Pedro Henriques Abreu, Nathalie Japkowicz, Alberto Fernández, Carlos Soares, Szymon Wilk, João A. M. Santos:
On the joint-effect of class imbalance and overlap: a critical review. Artif. Intell. Rev. 55(8): 6207-6275 (2022) - [j27]Elske Ammenwerth, Szymon Wilk, Zhengxing Huang:
Personalization in mHealth: Innovative informatics methods to improve patient experience and health outcome. J. Biomed. Informatics 133: 104143 (2022) - [c62]Anam Haq, Szymon Wilk, Alberto Abelló:
Comparision of Models Built Using AutoML and Data Fusion. ADBIS 2022: 301-314 - [c61]Malvika Rao, Martin Michalowski, Szymon Wilk, Wojtek Michalowski, Amanda Jane Coles, Marc Carrier:
Towards an AI Planning-Based Pipeline for the Management of Multimorbid Patients. AIME 2022: 14-23 - [c60]Aneta Lisowska, Shiri Lavy, Szymon Wilk, Mor Peleg:
How to Improve Digital Wellbeing Interventions? Preliminary Study of Factors Affecting Intervention Engagement, Impact, and Habit Formation. AMIA 2022 - [i2]Aneta Lisowska, Szymon Wilk, Mor Peleg:
What do you need to consider when designing mobile health intervention? CoRR abs/2205.10679 (2022) - 2021
- [j26]Andrius Budrionis, Magda Miara, Piotr Miara, Szymon Wilk, Johan Gustav Bellika:
Benchmarking PySyft Federated Learning Framework on MIMIC-III Dataset. IEEE Access 9: 116869-116878 (2021) - [j25]Martin Michalowski, Szymon Wilk, Wojtek Michalowski, Marc Carrier:
MitPlan: A planning approach to mitigating concurrently applied clinical practice guidelines. Artif. Intell. Medicine 112: 102002 (2021) - [j24]David Riaño, Szymon Wilk, Annette ten Teije:
Preface: AIME 2019. Artif. Intell. Medicine 115: 102058 (2021) - [j23]Enea Parimbelli, Szymon Wilk, Ronald Cornet, Pawel Sniatala, K. Sniatala, S. L. C. Glaser, Itske Fraterman, Annelies H. Boekhout, Manuel Ottaviano, Mor Peleg:
A review of AI and Data Science support for cancer management. Artif. Intell. Medicine 117: 102111 (2021) - [c59]Aneta Lisowska, Szymon Wilk, Mor Peleg:
From Personalized Timely Notification to Healthy Habit Formation: a Feasibility Study of Reinforcement Learning Approaches on Synthetic Data. SMARTERCARE@AI*IA 2021: 7-18 - [c58]Aneta Lisowska, Shiri Lavy, Szymon Wilk, Mor Peleg:
Personality and Habit Formation: Is There a Link? SMARTERCARE@AI*IA 2021: 42-47 - [c57]Aneta Lisowska, Szymon Wilk, Mor Peleg:
Catching Patient's Attention at the Right Time to Help Them Undergo Behavioural Change: Stress Classification Experiment from Blood Volume Pulse. AIME 2021: 72-82 - [c56]Martin Michalowski, Malvika Rao, Szymon Wilk, Wojtek Michalowski, Marc Carrier:
MitPlan 2.0: Enhanced Support for Multi-morbid Patient Management Using Planning. AIME 2021: 276-286 - [c55]Enea Parimbelli, Matteo Gabetta, Giordano Lanzola, Francesca Polce, Szymon Wilk, David Glasspool, Alexandra Kogan, Roy Leizer, Vitali Gisko, Nicole Veggiotti, Silvia Panzarasa, Rowdy de Groot, Manuel Ottaviano, Lucia Sacchi, Ronald Cornet, Mor Peleg, Silvana Quaglini:
CAncer PAtients Better Life Experience (CAPABLE) First Proof-of-Concept Demonstration. AIME 2021: 298-303 - [c54]Dympna O'Sullivan, William Van Woensel, Szymon Wilk, Samson W. Tu, Wojtek Michalowski, Samina Abidi, Marc Carrier, Ruth Edry, Irit Hochberg, Stephen P. Kingwell, Alexandra Kogan, Martin Michalowski, Hugh O'Sullivan, Mor Peleg:
Towards a framework for comparing functionalities of multimorbidity clinical decision support: A literature-based feature set and benchmark cases. AMIA 2021 - [c53]Aneta Lisowska, Szymon Wilk, Mor Peleg:
Is it a good time to survey you? Cognitive load classification from blood volume pulse. CBMS 2021: 137-141 - [c52]Francesca Polce, Giordano Lanzola, Matteo Gabetta, Enea Parimbelli, Szymon Wilk, David Glasspool, Roy Leizer, Alexandra Kogan, Silvana Quaglini:
The Case Manager: Driving Medical Reasoning in a Distributed Environment for Home Patient Monitoring. MIE 2021: 610-614 - [i1]Enea Parimbelli, Giovanna Nicora, Szymon Wilk, Wojtek Michalowski, Riccardo Bellazzi:
Tree-based local explanations of machine learning model predictions, AraucanaXAI. CoRR abs/2110.08272 (2021) - 2020
- [j22]Szymon Wilk, Mounira Kezadri-Hamiaz, Daniel Amyot, Wojtek Michalowski, Craig E. Kuziemsky, Nihan Çatal, Daniela Rosu, Marc Carrier, Randy Giffen:
An ontology-driven framework to support the dynamic formation of an interdisciplinary healthcare team. Int. J. Medical Informatics 136: 104075 (2020) - [j21]Miriam Seoane Santos, Pedro Henriques Abreu, Szymon Wilk, João A. M. Santos:
How distance metrics influence missing data imputation with k-nearest neighbours. Pattern Recognit. Lett. 136: 111-119 (2020) - [c51]Miriam Seoane Santos, Pedro H. Abreu, Szymon Wilk, João A. M. Santos:
Assessing the Impact of Distance Functions on K-Nearest Neighbours Imputation of Biomedical Datasets. AIME 2020: 486-496
2010 – 2019
- 2019
- [j20]Anam Haq, Szymon Wilk, Alberto Abelló:
Fusion of clinical data: A case study to predict the type of treatment of bone fractures. Int. J. Appl. Math. Comput. Sci. 29(1): 51-67 (2019) - [c50]Martin Michalowski, Szymon Wilk, Wojtek Michalowski, Marc Carrier:
MitPlan: A Planning Approach to Mitigating Concurrently Applied Clinical Practice Guidelines. AIME 2019: 93-103 - [c49]Enea Parimbelli, Szymon Wilk, Dympna O'Sullivan, Stephen P. Kingwell, Wojtek Michalowski, Martin Michalowski:
How Do Spinal Surgeons Perceive The Impact of Factors Used in Post-Surgical Complication Risk Scores? AMIA 2019 - [e1]David Riaño, Szymon Wilk, Annette ten Teije:
Artificial Intelligence in Medicine - 17th Conference on Artificial Intelligence in Medicine, AIME 2019, Poznan, Poland, June 26-29, 2019, Proceedings. Lecture Notes in Computer Science 11526, Springer 2019, ISBN 978-3-030-21641-2 [contents] - 2018
- [j19]Mor Peleg, Wojtek Michalowski, Szymon Wilk, Enea Parimbelli, Silvia Bonaccio, Dympna O'Sullivan, Martin Michalowski, Silvana Quaglini, Marc Carrier:
Ideating Mobile Health Behavioral Support for Compliance to Therapy for Patients with Chronic Disease: A Case Study of Atrial Fibrillation Management. J. Medical Syst. 42(11): 234:1-234:15 (2018) - [c48]Martin Michalowski, Szymon Wilk, Wojtek Michalowski, Marc Carrier:
Representing Drug Classes for Mitigating Concurrently Applied CPGs. AMIA 2018 - [c47]Enea Parimbelli, Szymon Wilk, Stephen P. Kingwell, Pavel Andreev, Wojtek Michalowski:
Shared Decision-Making Ontology for a Healthcare Team Executing a Workflow, an Instantiation for Metastatic Spinal Cord Compression Management. AMIA 2018 - [c46]Anam Haq, Szymon Wilk:
Application of Structural and Textural Features from X-ray Images to Predict the Type of Bone Fracture Treatment. DOLAP 2018 - 2017
- [j18]Monica Anderson, Roman Barták, John S. Brownstein, David L. Buckeridge, Hoda Eldardiry, Christopher W. Geib, Maria L. Gini, Aaron Isaksen, Sarah Keren, Robert Laddaga, Viliam Lisý, Rodney Martin, David R. Martinez, Martin Michalowski, Loizos Michael, Reuth Mirsky, Thanh Hai Nguyen, Michael J. Paul, Enrico Pontelli, Scott Sanner, Arash Shaban-Nejad, Arunesh Sinha, Shirin Sohrabi, Kumar Sricharan, Biplav Srivastava, Mark Stefik, William W. Streilein, Nathan R. Sturtevant, Kartik Talamadupula, Michael Thielscher, Julian Togelius, Tran Cao Son, Long Tran-Thanh, Neal Wagner, Byron C. Wallace, Szymon Wilk, Jichen Zhu:
Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence. AI Mag. 38(3): 72-82 (2017) - [j17]Szymon Wilk, Martin Michalowski, Wojtek Michalowski, Daniela Rosu, Marc Carrier, Mounira Kezadri-Hamiaz:
Comprehensive mitigation framework for concurrent application of multiple clinical practice guidelines. J. Biomed. Informatics 66: 52-71 (2017) - [c45]Martin Michalowski, Wojtek Michalowski, Szymon Wilk, Dympna O'Sullivan, Marc Carrier:
AFGuide System to Support Personalized Management of Atrial Fibrillation. AAAI Workshops 2017 - [c44]Anam Haq, Szymon Wilk:
Fusion of Clinical Data: A Case Study to Predict the Type of Treatment of Bone Fractures. ADBIS (Short Papers and Workshops) 2017: 294-301 - [c43]Szymon Wilk, Adi Fux, Martin Michalowski, Mor Peleg, Pnina Soffer:
Using Constraint Logic Programming for the Verification of Customized Decision Models for Clinical Guidelines. AIME 2017: 37-47 - [c42]Szymon Wojciechowski, Szymon Wilk, Jerzy Stefanowski:
An Algorithm for Selective Preprocessing of Multi-class Imbalanced Data. CORES 2017: 238-247 - [c41]Nihan Çatal, Daniel Amyot, Wojtek Michalowski, Mounira Kezadri-Hamiaz, Malak Baslyman, Szymon Wilk, Randy Giffen:
Supporting process execution by interdisciplinary healthcare teams: Middleware design for IBM BPM. EUSPN/ICTH 2017: 376-383 - 2016
- [j16]Szymon Wilk, Mounira Kezadri-Hamiaz, Daniela Rosu, Craig E. Kuziemsky, Wojtek Michalowski, Daniel Amyot, Marc Carrier:
Using Semantic Components to Represent Dynamics of an Interdisciplinary Healthcare Team in a Multi-Agent Decision Support System. J. Medical Syst. 40(2): 42:1-42:12 (2016) - [j15]Tomasz Lukaszewski, Szymon Wilk:
Classification with test costs and background knowledge. Knowl. Based Syst. 92: 35-42 (2016) - [c40]Szymon Wilk, Dympna O'Sullivan, Mounira Kezadri-Hamiaz, Craig E. Kuziemsky, Daniela Rosu, Wojtek Michalowski, Michael Fung Kee Fung:
Aligning Interdisciplinary Healthcare Team Behavior with Workflow Execution: An Example of a Radical Prostatectomy Workflow. CBMS 2016: 112-117 - [c39]Szymon Wilk, Jerzy Stefanowski, Szymon Wojciechowski, Ken J. Farion, Wojtek Michalowski:
Application of Preprocessing Methods to Imbalanced Clinical Data: An Experimental Study. ITIB (1) 2016: 503-515 - 2015
- [c38]Martin Michalowski, Szymon Wilk, Daniela Rosu, Mounira Kezadri, Wojtek Michalowski, Marc Carrier:
Expanding a First-Order Logic Mitigation Framework to Handle Multimorbid Patient Preferences. AMIA 2015 - [c37]Mounira Kezadri-Hamiaz, Daniela Rosu, Szymon Wilk, Craig E. Kuziemsky, Wojtek Michalowski, Marc Carrier:
A Framework for Modeling Workflow Execution by an Interdisciplinary Healthcare Team. MedInfo 2015: 1100 - 2014
- [c36]Martin Michalowski, Szymon Wilk, Wojtek Michalowski, Xing Tan, Daniela Rosu:
Using First-Order Logic to Represent Clinical Practice Guidelines and to Mitigate Adverse Interactions. AAAI Fall Symposia 2014 - [c35]Craig E. Kuziemsky, Davood Astaraky, Szymon Wilk, Wojtek Michalowski, Pavel Andreev:
A Framework for Incorporating Patient Preferences to Deliver Participatory Medicine via Interdisciplinary Healthcare Teams. AMIA 2014 - [c34]Martin Michalowski, Szymon Wilk, Xing Tan, Wojtek Michalowski:
First-Order Logic Theory for Manipulating Clinical Practice Guidelines Applied to Comorbid Patients: A Case Study. AMIA 2014 - [c33]Szymon Wilk, Davood Astaraky, Wojtek Michalowski, Daniel Amyot, Runzhuo Li, Craig E. Kuziemsky, Pavel Andreev:
MET4: Supporting Workflow Execution for Interdisciplinary Healthcare Teams. Business Process Management Workshops 2014: 40-52 - [c32]Tomasz Lukaszewski, Szymon Wilk:
Sequential Classification by Exploring Levels of Abstraction. KES 2014: 309-317 - [c31]Szymon Wilk, Martin Michalowski, Xing Tan, Wojtek Michalowski:
Using First-Order Logic to Represent Clinical Practice Guidelines and to Mitigate Adverse Interactions. KR4HC@VSL 2014: 45-61 - 2013
- [j14]Szymon Wilk, Wojtek Michalowski, Martin Michalowski, Ken Farion, Marisela Mainegra Hing, Subhra Mohapatra:
Mitigation of adverse interactions in pairs of clinical practice guidelines using constraint logic programming. J. Biomed. Informatics 46(2): 341-353 (2013) - [c30]Martin Michalowski, Szymon Wilk, Wojtek Michalowski, Di Lin, Ken Farion, Subhra Mohapatra:
Using Constraint Logic Programming to Implement Iterative Actions and Numerical Measures during Mitigation of Concurrently Applied Clinical Practice Guidelines. AIME 2013: 17-22 - [c29]Tomasz Lukaszewski, Jedrzej Potoniec, Szymon Wilk:
Hypothesis-Driven Interactive Classification Based on AVO. ICMMI 2013: 71-78 - [c28]Szymon Wilk, Martin Michalowski, Wojtek Michalowski, Ken Farion, Di Lin, Marisela Mainegra Hing, Subhra Mohapatra:
Clinical Practice Guidelines and Comorbid Diseases: A MiniZinc Representation of Guideline Models for Mitigating Adverse Interactions. MedInfo 2013: 352-356 - [c27]Dympna O'Sullivan, Szymon Wilk, Wojtek Michalowski, Ken Farion:
Using PICO to Align Medical Evidence with MDs Decision Making Models. MedInfo 2013: 1057 - 2012
- [j13]William Klement, Szymon Wilk, Wojtek Michalowski, Ken Farion, Martin H. Osmond, Vedat Verter:
Predicting the need for CT imaging in children with minor head injury using an ensemble of Naive Bayes classifiers. Artif. Intell. Medicine 54(3): 163-170 (2012) - [j12]Jerzy Blaszczynski, Magdalena Deckert, Jerzy Stefanowski, Szymon Wilk:
IIvotes ensemble for imbalanced data. Intell. Data Anal. 16(5): 777-801 (2012) - [j11]Jelber Sayyad-Shirabad, Szymon Wilk, Wojtek Michalowski, Ken Farion:
Implementing an Integrative Multi-agent Clinical Decision Support System with Open Source Software. J. Medical Syst. 36(1): 123-137 (2012) - [c26]Dympna O'Sullivan, Szymon Wilk, Wojtek Michalowski, Roman Slowinski, Roland Thomas, Ken Farion:
Discovering the Preferences of Physicians with Regards to Rank-Ordered Medical Documents. IPMU (3) 2012: 142-150 - [c25]Bartosz Kukawka, Szymon Wilk:
Indexing and Retrieval of Medical Resources for a Telemedical Platform. ITIB 2012: 603-614 - 2011
- [c24]William Klement, Szymon Wilk, Wojtek Michalowski, Stan Matwin:
Classifying Severely Imbalanced Data. Canadian AI 2011: 258-264 - [c23]Martin Michalowski, Marisela Mainegra Hing, Szymon Wilk, Wojtek Michalowski, Ken Farion:
A Constraint Logic Programming Approach to Identifying Inconsistencies in Clinical Practice Guidelines for Patients with Comorbidity. AIME 2011: 296-301 - 2010
- [j10]Dympna O'Sullivan, Szymon Wilk, Wojtek Michalowski, Ken Farion:
Automatic indexing and retrieval of encounter-specific evidence for point-of-care support. J. Biomed. Informatics 43(4): 623-631 (2010) - [j9]Ken Farion, Wojtek Michalowski, Szymon Wilk, Dympna O'Sullivan, Stan Matwin:
A Tree-Based Decision Model to Support Prediction of the Severity of Asthma Exacerbations in Children. J. Medical Syst. 34(4): 551-562 (2010) - [c22]Marisela Mainegra Hing, Martin Michalowski, Szymon Wilk, Wojtek Michalowski, Ken Farion:
Identifying inconsistencies in multiple clinical practice guidelines for a patient with co-morbidity. BIBM Workshops 2010: 447-452 - [c21]Dympna O'Sullivan, Wojtek Michalowski, Martin Michalowski, Szymon Wilk, Ken Farion:
Representing clinical documents to support automatic retrieval of evidence from the Cochrane Library. BIBM Workshops 2010: 461-466 - [c20]Szymon Wilk, Wojtek Michalowski, Ken Farion, Jelber Sayyad-Shirabad:
MET3-AE System to Support Management of Pediatric Asthma Exacerbation in the Emergency Department. MedInfo 2010: 841-845 - [c19]Jerzy Blaszczynski, Magdalena Deckert, Jerzy Stefanowski, Szymon Wilk:
Integrating Selective Pre-processing of Imbalanced Data with Ivotes Ensemble. RSCTC 2010: 148-157 - [c18]Krystyna Napierala, Jerzy Stefanowski, Szymon Wilk:
Learning from Imbalanced Data in Presence of Noisy and Borderline Examples. RSCTC 2010: 158-167 - [c17]William Klement, Szymon Wilk, Martin Michalowski, Ken Farion:
Experienced Physicians and Automatic Generation of Decision Rules from Clinical Data. RSCTC 2010: 207-216
2000 – 2009
- 2009
- [j8]Michael J. Hine, Ken Farion, Wojtek Michalowski, Szymon Wilk:
Decision Making by Emergency Room Physicians and Residents: Implications for the Design of Clinical Decision Support Systems. Int. J. Heal. Inf. Syst. Informatics 4(2): 17-35 (2009) - 2008
- [j7]Ken Farion, Wojtek Michalowski, Steven Rubin, Szymon Wilk, Rhonda Correll, Isabelle Gaboury:
Prospective evaluation of the MET-AP system providing triage plans for acute pediatric abdominal pain. Int. J. Medical Informatics 77(3): 208-218 (2008) - [c16]Craig E. Kuziemsky, Dympna O'Sullivan, Wojtek Michalowski, Szymon Wilk, Ken Farion:
A Constraint Satisfaction Approach to Data-Driven Implementation of Clinical Practice Guidelines. AMIA 2008 - [c15]Szymon Wilk, Wojtek Michalowski, Dympna O'Sullivan, Ken Farion, Stan Matwin:
Engineering of a Clinical Decision Support Framework for the Point of Care Use. AMIA 2008 - [c14]Jerzy Stefanowski, Szymon Wilk:
Selective Pre-processing of Imbalanced Data for Improving Classification Performance. DaWaK 2008: 283-292 - 2007
- [j6]Wojtek Michalowski, Marta Kersten, Szymon Wilk, Roman Slowinski:
Designing man-machine interactions for mobile clinical systems: MET triage support using Palm handhelds. Eur. J. Oper. Res. 177(3): 1409-1417 (2007) - [c13]Dympna O'Sullivan, Ken Farion, Stan Matwin, Wojtek Michalowski, Szymon Wilk:
A Concept-Based Framework for Retrieving Evidence to Support Emergency Physician Decision Making at the Point of Care. K4CARE 2007: 117-126 - [c12]Dympna O'Sullivan, William Elazmeh, Szymon Wilk, Ken Farion, Stan Matwin, Wojtek Michalowski, Morvarid Sehatkar:
Using Secondary Knowledge to Support Decision Tree Classification of Retrospective Clinical Data. MCD 2007: 238-251 - 2006
- [j5]Jerzy Stefanowski, Szymon Wilk:
Rough Sets for Handling Imbalanced Data: Combining Filtering and Rule-based Classifiers. Fundam. Informaticae 72(1-3): 379-391 (2006) - [c11]Ken Farion, Michael J. Hine, Wojtek Michalowski, Szymon Wilk:
Decision Making by Emergency Room Physicians and Residents: Results From a Clinical Trial. AMCIS 2006: 333 - [c10]Jerzy Blaszczynski, Michal Kosiedowski, Cezary Mazurek, Szymon Wilk:
Ontologies for Knowledge Modeling and Creating User Interface in the Framework of Telemedical Portal. ECEH 2006: 275-286 - [c9]Wojtek Michalowski, Szymon Wilk, Anthony Thijssen, Mingmei Li:
Bayesian Belief Network Model of the Radical Prostatectomy Pathway. HICSS 2006 - [c8]Ken Farion, Wojtek Michalowski, Szymon Wilk:
Developing a Decision Model for Asthma Exacerbations: Combining Rough Sets and Expert-Driven Selection of Clinical Attributes. RSCTC 2006: 428-437 - 2005
- [j4]Szymon Wilk, Roman Slowinski, Wojtek Michalowski, Salvatore Greco:
Supporting triage of children with abdominal pain in the emergency room. Eur. J. Oper. Res. 160(3): 696-709 (2005) - [j3]Jerzy W. Grzymala-Busse, Jerzy Stefanowski, Szymon Wilk:
A Comparison of Two Approaches to Data Mining from Imbalanced Data. J. Intell. Manuf. 16(6): 565-573 (2005) - [c7]Jerzy Blaszczynski, Ken Farion, Wojtek Michalowski, Szymon Wilk, Steven Rubin, Dawid Weiss:
Mining Clinical Data: Selecting Decision Support Algorithm for the MET-AP System. AIME 2005: 429-433 - 2004
- [c6]Wojtek Michalowski, Roman Slowinski, Szymon Wilk:
Mobile Emergency Triage Support System. AAAI 2004: 1018-1019 - [c5]Wojtek Michalowski, Steven Rubin, Roman Slowinski, Szymon Wilk:
Triage of Acute Abdominal Pain in Childhood: Clinical Use of a Palm Handheld in a Pediatric Emergency Department. HICSS 2004 - [c4]Jerzy W. Grzymala-Busse, Jerzy Stefanowski, Szymon Wilk:
A Comparison of Two Approaches to Data Mining from Imbalanced Data. KES 2004: 757-763 - [c3]Ken Farion, Wojtek Michalowski, Roman Slowinski, Szymon Wilk, Steven Rubin:
Rough Set Methodology in Clinical Practice: Controlled Hospital Trial of the MET System. Rough Sets and Current Trends in Computing 2004: 805-814 - 2003
- [j2]Wojtek Michalowski, Steven Rubin, Roman Slowinski, Szymon Wilk:
Mobile clinical support system for pediatric emergencies. Decis. Support Syst. 36(2): 161-176 (2003) - 2001
- [j1]Jerzy Stefanowski, Szymon Wilk:
Evaluating business credit risk by means of approach-integrating decision rules and case-based learning. Intell. Syst. Account. Finance Manag. 10(2): 97-114 (2001)
1990 – 1999
- 1999
- [c2]Bartlomiej Predki, Szymon Wilk:
Rough Set Based Data Exploration Using ROSE System. ISMIS 1999: 172-180 - 1998
- [c1]Bartlomiej Predki, Roman Slowinski, Jerzy Stefanowski, Robert Susmaga, Szymon Wilk:
ROSE - Software Implementation of the Rough Set Theory. Rough Sets and Current Trends in Computing 1998: 605-608
Coauthor Index
Ken Farion
aka: Ken J. Farion
aka: Ken J. Farion
[j34] [c63] [j33] [j32] [j30] [c61] [j25] [c56] [c54] [i1] [j22] [c50] [c49] [j19] [c48] [c47] [j17] [c45] [c41] [j16] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c31] [j14] [c30] [c28] [c27] [j13] [j11] [c26] [c24] [c23] [j10] [j9] [c22] [c21] [c20] [j8] [j7] [c16] [c15] [j6] [c13] [c12] [c11] [c9] [c8] [j4] [c7] [c6] [c5] [c3] [j2]
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last updated on 2024-10-07 21:22 CEST by the dblp team
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