Janusz Wojtusiak

According to our database, Janusz Wojtusiak authored at least 62 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Selection Bias from Data Processing in N3C.

Atefehsadat Haghighathoseini, Mohammad Qodrati, Hua Min, Timothy Leslie, Cara Frankenfeld, Nirup M. Menon, Janusz Wojtusiak

Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

2023

Application of Synthetic Datasets across Courses in Health Informatics Education.

Hua Min, Hedyeh Mobahi, Janusz Wojtusiak

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

2022

From Undergraduate to Doctoral Health Informatics Training: A Data Focus.

Janusz Wojtusiak, Hua Min

Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

Discussion on Comparing Machine Learning Models for Health Outcome Prediction.

Janusz Wojtusiak, Negin Asadzadehzanjani

Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

From Wearable Device to OpenEMR: 5G Edge Centered Telemedicine and Decision Support System.

Ying Wang, Patricia Tran, Janusz Wojtusiak

Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

Dashboard for Machine Learning Models in Health Care.

Wejdan Bagais, Janusz Wojtusiak

Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

2021

Computational Barthel Index: an automated tool for assessing and predicting activities of daily living among nursing home patients.

Janusz Wojtusiak, Negin Asadzadehzanjani, Cari Levy, Farrokh Alemi, Allison E. Williams

BMC Medical Informatics Decis. Mak., 2021

COVID-19 Symptom Monitoring and Social Distancing in a University Population.

Janusz Wojtusiak, Pramita Bagchi, Sri Surya Krishna Rama Taraka Naren Durbha, Hedyeh Mobahi, Reyhaneh Mogharab Nia, Amira Roess

J. Heal. Informatics Res., 2021

Location prediction using GPS trackers: Can machine learning help locate the missing people with dementia?

Janusz Wojtusiak, Reyhaneh Mogharab Nia

Internet Things, 2021

Using Wi-Fi Infrastructure to Predict Contacts During Pandemics.

Janusz Wojtusiak, Ying Wang, Varalakshmi Vakkalagadda, Farrokh Alemi, Amira Roess

Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

Administrative Health Data Representation for Mortality and High Utilization Prediction.

Negin Asadzadehzanjani, Janusz Wojtusiak

Proceedings of the Heterogeneous Data Management, Polystores, and Analytics for Healthcare, 2021

Online Decision Support Tool that Explains Temporal Prediction of Activities of Daily Living (ADL).

Janusz Wojtusiak, Negin Asadzaehzanjani, Cari Levy, Farrokh Alemi, Allison E. Williams

Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

Reproducibility, Transparency and Evaluation of Machine Learning in Health Applications.

Janusz Wojtusiak

Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

Do Clusters and Sequence of Symptoms Predict COVID-19 Test Results?

Janusz Wojtusiak, Wejdan Bagais, Hedyeh Mobahi, Elina Guralnik, Amira Roess, Farrokh Alemi

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Active Learning Based User-Defined Chest X-Ray Diagnosis System Leveraging 5G Infrastructure for COVID-19 Variant Detection.

Ying Wang, Janusz Wojtusiak

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Introduction to the Minitrack on AI and Sustainability: The Use of AI in Sustainability Initiatives.

Janusz Wojtusiak, Eunika Mercier-Laurent, Cindi Punihaole

Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

Using Landmark Information to Enhance Location Prediction for Missing People with Alzheimer's Disease.

Reyhaneh Mogharab Nia, Janusz Wojtusiak

Proceedings of the AMIA 2020, 2020

2019

Rapidly Determining the Starting Sample Size in Progressive Sampling: Mean Convergence is Sufficient.

Amr ElRafey, Janusz Wojtusiak

Proceedings of the Advances in Data Mining, 2019

Using GPS to Locate the Missing and Track Wandering in People with Alzheimer's Disease.

Janusz Wojtusiak, Reyhaneh Mogharab Nia, U. Nalla B. Durai, Beverly Middle, Robert Koester, Catherine Tompkins

Proceedings of the AMIA 2019, 2019

Synthetic Data for Teaching Data Integration in Informatics Graduate Program.

Hedyeh Mobahi, Hua Min, Janusz Wojtusiak

Proceedings of the AMIA 2019, 2019

Generic vs. Specialized Models for Assessing Disabilities among People with Dementia.

Negin Asadzadehzanjani, Janusz Wojtusiak, Allison E. Williams, Cari Levy

Proceedings of the AMIA 2019, 2019

2018

Weighted Itemsets Error (WIE) Approach for Evaluating Generated Synthetic Patient Data.

Mojtaba Zare, Janusz Wojtusiak

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017

Predicting activities of daily living for cancer patients using an ontology-guided machine learning methodology.

Hua Min, Hedyeh Mobahi, Katherine Irvin, Sanja Avramovic, Janusz Wojtusiak

J. Biomed. Semant., 2017

C-Lace: Computational Model to Predict 30-Day Post-Hospitalization Mortality.

Janusz Wojtusiak, Eman Elashkar, Reyhaneh Mogharab Nia

Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017

2016

Extreme logistic regression.

Che Ngufor, Janusz Wojtusiak

Adv. Data Anal. Classif., 2016

Guiding Supervised Learning by Bio-Ontologies in Medical Data Analysis.

Janusz Wojtusiak, Hua Min, Eman Elashkar, Hedyeh Mobahi

Proceedings of the Artificial Intelligence for Knowledge Management, 2016

Visualizing the Effects of Cancers on Relationships Between Comorbidities and Activities of Daily Living.

Hua Min, Talha Oz, Sava Vukomanovic, Hedyeh Mobahi, Katherine Irvin, Ilirjeta Krasniqi, Janusz Wojtusiak

Proceedings of the AMIA 2016, 2016

Applying Machine Learning Methods to Predict Activities of Daily Living for Cancer Patients.

Hua Min, Talha Oz, Sava Vukomanovic, Hedyeh Mobahi, Katherine Irvin, Ilirjeta Krasniqi, Janusz Wojtusiak

Proceedings of the AMIA 2016, 2016

Towards Automated Selection of Patient-Specific Education Materials in Ambulatory Care Settings.

Fatemah M. Aloudah, Janusz Wojtusiak

Proceedings of the AMIA 2016, 2016

2015

A Systematic Prediction of Adverse Drug Reactions Using Pre-clinical Drug Characteristics and Spontaneous Reports.

Che Ngufor, Janusz Wojtusiak, Jyotishman Pathak

Proceedings of the 2015 International Conference on Healthcare Informatics, 2015

2014

Rule Learning in Healthcare and Health Services Research.

Janusz Wojtusiak

Proceedings of the Machine Learning in Healthcare Informatics, 2014

Extreme Logistic Regression: A Large Scale Learning Algorithm with Application to Prostate Cancer Mortality Prediction.

Che Ngufor, Janusz Wojtusiak, Andrea Hooker, Talha Oz, Jack Hadley

Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014

Creating Clinically Homogeneous Groups of Prostate Cancer Patients.

Janusz Wojtusiak, Che Ngufor, Lorens Helmchen, Jack Hadley

Proceedings of the AMIA 2014, 2014

2013

Unsupervised Labeling of Data for Supervised Learning and its Application to Medical claims Prediction.

Che Ngufor, Janusz Wojtusiak

Comput. Sci., 2013

Mining Progress Notes for Prediction of Activities of Daily Living.

Talha Oz, Che Ngufor, Janusz Wojtusiak

Proceedings of the AMIA 2013, 2013

Machine Learning-based Detection of Health Data Elements.

Andrej Kolacevski, Janusz Wojtusiak

Proceedings of the AMIA 2013, 2013

2012

The learnable evolution model in agent-based delivery optimization.

Janusz Wojtusiak, Tobias Warden, Otthein Herzog

Memetic Comput., 2012

Reasoning with unknown, not-applicable and irrelevant meta-values in concept learning and pattern discovery.

Ryszard S. Michalski, Janusz Wojtusiak

J. Intell. Inf. Syst., 2012

Machine learning in agent-based stochastic simulation: Inferential theory and evaluation in transportation logistics.

Janusz Wojtusiak, Tobias Warden, Otthein Herzog

Comput. Math. Appl., 2012

Semantic Data Types in Machine Learning from Healthcare Data.

Janusz Wojtusiak

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Clinical data analysis using ontology-guided rule learning.

Hua Min, Janusz Wojtusiak

Proceedings of the 2nd International Workshop on Managing Interoperability and compleXity in Health Systems, 2012

Recent Advances in AQ21 Rule Learning System for Healthcare Data.

Janusz Wojtusiak

Proceedings of the AMIA 2012, 2012

Comparison of Classification Learning Methods for Medical Claims Payments.

Katherine Irvin, Janusz Wojtusiak

Proceedings of the AMIA 2012, 2012

2011

Model Learning from Published Aggregated Data.

Janusz Wojtusiak, Ancha V. Baranova

Proceedings of the Learning Structure and Schemas from Documents, 2011

Rule-Based Prediction of Medical Claims' Payments: A Method and Initial Application to Medicaid Data.

Janusz Wojtusiak, Che Ngufor, John Shiver, Ronald Ewald

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Using Published Medical Results and Non-homogenous Data in Rule Learning.

Janusz Wojtusiak, Katherine Irvin, Aybike Birerdinc, Ancha V. Baranova

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Agent-based Pickup and Delivery Planning: The Learnable Evolution Model Approach.

Janusz Wojtusiak, Tobias Warden, Otthein Herzog

Proceedings of the International Conference on Complex, 2011

2010

Ryszard S. Michalski: The Vision and Evolution of Machine Learning.

Janusz Wojtusiak, Kenneth A. Kaufman

Proceedings of the Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski, 2010

Combining Rule Induction and Reinforcement Learning: An Agent-based Vehicle Routing.

Bartlomiej Sniezynski, Wojciech Wójcik, Jan D. Gehrke, Janusz Wojtusiak

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2009

Towards application of rule learning to the meta-analysis of clinical data: An example of the metabolic syndrome.

Janusz Wojtusiak, Ryszard S. Michalski, Thipkesone Simanivanh, Ancha V. Baranova

Int. J. Medical Informatics, 2009

Building virtual community in computational intelligence and machine learning [Research Frontier].

Jacek M. Zurada, Maciej A. Mazurowski, Rommohan Ragade, Artur Abdullin, Janusz Wojtusiak, James E. Gentle

IEEE Comput. Intell. Mag., 2009

The LEM3 System for Multitype Evolutionary Optimization.

Janusz Wojtusiak

Comput. Informatics, 2009

2008

Computational intelligence virtual community: Framework and implementation issues.

Jacek M. Zurada, Janusz Wojtusiak, Fahmida Chowdhury, James E. Gentle, Cedric J. Jeannot, Maciej A. Mazurowski

Proceedings of the International Joint Conference on Neural Networks, 2008

Traffic Prediction for Agent Route Planning.

Jan D. Gehrke, Janusz Wojtusiak

Proceedings of the Computational Science, 2008

2007

Generalizing Data in Natural Language.

Ryszard S. Michalski, Janusz Wojtusiak

Proceedings of the Rough Sets and Intelligent Systems Paradigms, International Conference, 2007

The Natural Induction System AQ21 and its Application to Data Describing Patients with Metabolic Syndrome: Initial Results.

Janusz Wojtusiak, Ryszard S. Michalski, Thipkesone Simanivanh, Anna V. Baranova

Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

2006

An Integrated Multi-task Inductive Database VINLEN: Initial Implementation and Early Results.

Kenneth A. Kaufman, Ryszard S. Michalski, Jaroslaw Pietrzykowski, Janusz Wojtusiak

Proceedings of the Knowledge Discovery in Inductive Databases, 5th International Workshop, 2006

The Use of Compound Attributes inAQ Learning.

Janusz Wojtusiak, Ryszard S. Michalski

Proceedings of the Intelligent Information Processing and Web Mining, 2006

Learning Symbolic User Models for Intrusion Detection: A Method and Initial Results.

Ryszard S. Michalski, Kenneth A. Kaufman, Jaroslaw Pietrzykowski, Bartlomiej Sniezynski, Janusz Wojtusiak

Proceedings of the Intelligent Information Processing and Web Mining, 2006

The AQ21 Natural Induction Program for Pattern Discovery: Initial Version and its Novel Features.

Janusz Wojtusiak, Ryszard S. Michalski, Kenneth A. Kaufman, Jaroslaw Pietrzykowski

Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 2006

Intelligent Optimization via Learnable Evolution Model.

Ryszard S. Michalski, Janusz Wojtusiak, Kenneth A. Kaufman

Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 2006

The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems.

Janusz Wojtusiak, Ryszard S. Michalski

Proceedings of the Genetic and Evolutionary Computation Conference, 2006