Szymon Wilk

发表

Prospective evaluation of the MET-AP system providing triage plans for acute pediatric abdominal pain

Wojtek Michalowski, Ken Farion, Steven Rubin, 2008, Int. J. Medical Informatics.

ROSE - Software Implementation of the Rough Set Theory

Szymon Wilk, Bartlomiej Predki, Roman Slowinski, 1998, Rough Sets and Current Trends in Computing.

Integrative clinical decision support systems: foundations and implementations

Szymon Wilk, 2010 .

Supporting triage of children with abdominal pain in the emergency room

Wojtek Michalowski, Szymon Wilk, Salvatore Greco, 2005, Eur. J. Oper. Res..

Classifying Severely Imbalanced Data

Stan Matwin, Wojtek Michalowski, Szymon Wilk, 2011, Canadian Conference on AI.

A Comparison of Two Approaches to Data Mining from Imbalanced Data

Jerzy W. Grzymala-Busse, Szymon Wilk, Jerzy Stefanowski, 2004, J. Intell. Manuf..

18 th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems - KES2014 Sequential classification by exploring levels of abstraction

Szymon Wilk, S. Wilk, 2014 .

Learning from Imbalanced Data in Presence of Noisy and Borderline Examples

Szymon Wilk, Jerzy Stefanowski, Krystyna Napierala, 2010, RSCTC.

First-Order Logic Theory for Manipulating Clinical Practice Guidelines Applied to Comorbid Patients: A Case Study

Wojtek Michalowski, Xing Tan, Szymon Wilk, 2014, AMIA.

Rough Set Based Data Exploration Using ROSE System

Szymon Wilk, Bartlomiej Predki, S. Wilk, 1999, ISMIS.

Mobile Emergency Triage Support System

Wojtek Michalowski, Szymon Wilk, Roman Slowinski, 2004, AAAI.

Hypothesis-Driven Interactive Classification Based on AVO

Szymon Wilk, Jedrzej Potoniec, Tomasz Lukaszewski, 2013, ICMMI.

Application of Structural and Textural Features from X-ray Images to Predict the Type of Bone Fracture Treatment

Szymon Wilk, Anam Haq, 2018, DOLAP.

MitPlan: A Planning Approach to Mitigating Concurrently Applied Clinical Practice Guidelines

Wojtek Michalowski, Szymon Wilk, Martin Michalowski, 2019, AIME.

MET3-AE System to Support Management of Pediatric Asthma Exacerbation in the Emergency Department

Wojtek Michalowski, Ken Farion, Szymon Wilk, 2010, MedInfo.

Decision Making by Emergency Room Physicians and Residents: Implications for the Design of Clinical Decision Support Systems

Wojtek Michalowski, Ken Farion, Szymon Wilk, 2009, Int. J. Heal. Inf. Syst. Informatics.

Mitigation of adverse interactions in pairs of clinical practice guidelines using constraint logic programming

Wojtek Michalowski, Ken Farion, Szymon Wilk, 2013, J. Biomed. Informatics.

Difficulty Factors and Preprocessing in Imbalanced Data Sets: An Experimental Study on Artificial Data

Szymon Wilk, Szymon Wojciechowski, 2017 .

Decision Making by Emergency Room Physicians and Residents: Results From a Clinical Trial

Wojtek Michalowski, Ken Farion, Szymon Wilk, 2006, AMCIS.

Fusion of clinical data: A case study to predict the type of treatment of bone fractures

Alberto Abelló, Szymon Wilk, Anam Haq, 2019, Int. J. Appl. Math. Comput. Sci..

Bayesian Belief Network Model of the Radical Prostatectomy Pathway

Wojtek Michalowski, Szymon Wilk, Mingmei Li, 2006, Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06).

A Constraint Logic Programming Approach to Identifying Inconsistencies in Clinical Practice Guidelines for Patients with Comorbidity

Wojtek Michalowski, Ken Farion, Szymon Wilk, 2011, AIME.

Experienced Physicians and Automatic Generation of Decision Rules from Clinical Data

Ken Farion, Szymon Wilk, Martin Michalowski, 2010, RSCTC.

Expanding a First-Order Logic Mitigation Framework to Handle Multimorbid Patient Preferences

Wojtek Michalowski, Szymon Wilk, Martin Michalowski, 2015, AMIA.

Integrating Selective Pre-processing of Imbalanced Data with Ivotes Ensemble

Szymon Wilk, Jerzy Stefanowski, Jerzy Blaszczynski, 2010, RSCTC.

Sequential Classification by Exploring Levels of Abstraction

Szymon Wilk, Tomasz Lukaszewski, S. Wilk, 2014, KES.

Fusion of clinical data: A case study to predict the type of treatment of bone fractures

Szymon Wilk, Anam Haq, S. Wilk, 2017, ADBIS.

Rough Sets for Handling Imbalanced Data: Combining Filtering and Rule-based Classifiers

Szymon Wilk, Jerzy Stefanowski, J. Stefanowski, 2006, Fundam. Informaticae.

Developing a Decision Model for Asthma Exacerbations: Combining Rough Sets and Expert-Driven Selection of Clinical Attributes

Wojtek Michalowski, Ken Farion, Szymon Wilk, 2006, RSCTC.

Mobile clinical support system for pediatric emergencies

Wojtek Michalowski, Steven Rubin, Szymon Wilk, 2003, Decis. Support Syst..

Extending Rule-Based Classifiers to Improve Recognition of Imbalanced Classes

Szymon Wilk, Jerzy Stefanowski, J. Stefanowski, 2009 .

A Framework for Incorporating Patient Preferences to Deliver Participatory Medicine via Interdisciplinary Healthcare Teams

Craig E. Kuziemsky, Wojtek Michalowski, Szymon Wilk, 2014, AMIA.

Ideating Mobile Health Behavioral Support for Compliance to Therapy for Patients with Chronic Disease: A Case Study of Atrial Fibrillation Management

Wojtek Michalowski, Szymon Wilk, Mor Peleg, 2018, Journal of Medical Systems.

Evaluating business credit risk by means of approach-integrating decision rules and case-based learning

Szymon Wilk, Jerzy Stefanowski, J. Stefanowski, 2001, Intell. Syst. Account. Finance Manag..

Designing man-machine interactions for mobile clinical systems: MET triage support using Palm handhelds

Marta Kersten, Wojtek Michalowski, Szymon Wilk, 2007, Eur. J. Oper. Res..

An Algorithm for Selective Preprocessing of Multi-class Imbalanced Data

Szymon Wilk, Jerzy Stefanowski, Szymon Wojciechowski, 2017, CORES.

Designing Interactions for Mobile Clinical Decision Support Systems: The MET System Perspective

Marta Kersten, Wojtek Michalowski, Szymon Wilk, 2004 .

Predicting the Need for Ct Imaging in Children with Minor Head Injury Using an Ensemble of Naive Bayes Classifiers

Vedat Verter, Wojtek Michalowski, Ken Farion, 2022 .

How Do Spinal Surgeons Perceive The Impact of Factors Used in Post-Surgical Complication Risk Scores?

Wojtek Michalowski, Szymon Wilk, Martin Michalowski, 2019, AMIA.

Procedural approach to mitigating concurrently applied clinical practice guidelines

Wojtek Michalowski, Xing Tan, Szymon Wilk, 2013, AAAI 2013.

Representing Drug Classes for Mitigating Concurrently Applied CPGs

Wojtek Michalowski, Szymon Wilk, Martin Michalowski, 2018, AMIA.

Ontologies for Knowledge Modeling and Creating User Interface in the Framework of Telemedical Portal

Cezary Mazurek, Szymon Wilk, Michal Kosiedowski, 2006, ECEH.

Selective Pre-processing of Imbalanced Data for Improving Classification Performance

Szymon Wilk, Jerzy Stefanowski, J. Stefanowski, 2008, DaWaK.

New machine learning methods for prediction of protein secondary structures 1

Jacek Blazewicz, Szymon Wilk, 2007 .

Mining Clinical Data: Selecting Decision Support Algorithm for the MET-AP System

Dawid Weiss, Wojtek Michalowski, Ken Farion, 2005, AIME.

Using Constraint Logic Programming to Implement Iterative Actions and Numerical Measures during Mitigation of Concurrently Applied Clinical Practice Guidelines

Wojtek Michalowski, Di Lin, Ken Farion, 2013, AIME.

Application of Preprocessing Methods to Imbalanced Clinical Data: An Experimental Study

Wojtek Michalowski, Szymon Wilk, Jerzy Stefanowski, 2016, ITIB.

IIvotes ensemble for imbalanced data

Szymon Wilk, Jerzy Stefanowski, Jerzy Blaszczynski, 2012, Intell. Data Anal..

MET4: Supporting Workflow Execution for Interdisciplinary Healthcare Teams

Daniel Amyot, Craig E. Kuziemsky, Wojtek Michalowski, 2014, Business Process Management Workshops.

Shared Decision-Making Ontology for a Healthcare Team Executing a Workflow, an Instantiation for Metastatic Spinal Cord Compression Management

Wojtek Michalowski, Szymon Wilk, Enea Parimbelli, 2018, AMIA.

Clinical Practice Guidelines and Comorbid Diseases: A MiniZinc Representation of Guideline Models for Mitigating Adverse Interactions

Wojtek Michalowski, Di Lin, Ken Farion, 2013, MedInfo.

Rough Set Methodology in Clinical Practice: Controlled Hospital Trial of the MET System

Wojtek Michalowski, Ken Farion, Steven Rubin, 2004, Rough Sets and Current Trends in Computing.

Triage of acute abdominal pain in childhood: clinical use of a palm handheld in a pediatric emergency department

Wojtek Michalowski, Steven Rubin, Szymon Wilk, 2004, 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the.

Using PICO to Align Medical Evidence with MDs Decision Making Models

Dympna O'Sullivan, Wojtek Michalowski, Ken Farion, 2013, MedInfo.

Using Constraint Logic Programming for the Verification of Customized Decision Models for Clinical Guidelines

Szymon Wilk, Mor Peleg, Martin Michalowski, 2017, AIME.

Indexing and Retrieval of Medical Resources for a Telemedical Platform

Szymon Wilk, Bartosz Kukawka, S. Wilk, 2012, ITIB.

From Personalized Timely Notification to Healthy Habit Formation: a Feasibility Study of Reinforcement Learning Approaches on Synthetic Data

Aneta Lisowska, Szymon Wilk, Mor Peleg, 2021, SMARTERCARE@AI*IA.

MitPlan 2.0: Enhanced Support for Multi-morbid Patient Management Using Planning

Wojtek Michalowski, Szymon Wilk, Martin Michalowski, 2021, AIME.

The Case Manager: Driving Medical Reasoning in a Distributed Environment for Home Patient Monitoring

David Glasspool, Szymon Wilk, Giordano Lanzola, 2021, MIE.

Is it a good time to survey you? Cognitive load classification from blood volume pulse

Aneta Lisowska, Szymon Wilk, Mor Peleg, 2021, 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS).

CAncer PAtients Better Life Experience (CAPABLE) First Proof-of-Concept Demonstration

David Glasspool, Szymon Wilk, Giordano Lanzola, 2021, AIME.

Catching Patient's Attention at the Right Time to Help Them Undergo Behavioural Change: Stress Classification Experiment from Blood Volume Pulse

Aneta Lisowska, Szymon Wilk, Mor Peleg, 2021, AIME.

Personality and Habit Formation: Is There a Link?

Aneta Lisowska, Szymon Wilk, Mor Peleg, 2021, SMARTERCARE@AI*IA.

Tree-based local explanations of machine learning model predictions, AraucanaXAI pdf

Wojtek Michalowski, Szymon Wilk, Riccardo Bellazzi, 2021, ArXiv.

Preface: AIME 2019

Annette ten Teije, Szymon Wilk, David Riaño, 2021, Artif. Intell. Medicine.

Is There a Consensus when Physicians Evaluate the Relevance of Retrieved Systematic Reviews?

Dympna O'Sullivan, Wojtek Michalowski, Ken Farion, 2016, Methods of Information in Medicine.

Detection of Wet Age-related Macular Degeneration in OCT Images: A Case Study

Szymon Wilk, Anam Haq, 2017 .

Clinical Decision Making by Emergency Room Physicians and Residents

Wojtek Michalowski, Ken Farion, Szymon Wilk, 2008 .

Assessing the Impact of Distance Functions on K-Nearest Neighbours Imputation of Biomedical Datasets

Miriam Seoane Santos, Szymon Wilk, Szymon Wilk, 2020, AIME.

Using a Bayesian belief network model to categorize length of stay for radical prostatectomy patients

Wojtek Michalowski, Szymon Wilk, Anthony Thijssen, 2006, Health care management science.

MET system: a new approach to m-health in emergency triage.

Wojtek Michalowski, Szymon Wilk, Roman Slowinski, 2004, Studies in health technology and informatics.

MOBILE EMERGENCY TRIAGE: LESSONS FROM A CLINICAL TRIAL

Wojtek Michalowski, Ken Farion, Szymon Wilk, 2004 .