Janusz Wojtusiak

67 papers A* 1A 1B 4C 4Misc 17Journal 13Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Simulated Evaluation of Machine Learning Models for Predicting Late-Stage Diagnosis and Mortality in Prostate and Breast Cancer Patients. BIOSTEC (4) Huan-ju Shih, Janusz Wojtusiak
2025	C	`conf`	Influence of Stratified Variable Encoding on Quality of Mortality Prediction in Systolic Heart Failure. ICMLA Bhumi Patel, Lemba Priscille Ngana, Atefehsadat Haghighathoseini, Janusz Wojtusiak
2024	B	`conf`	Big Data Decision-Making and Racial Disparities: A Case Study Among COVID-19 Inpatient Visits. IEEE Big Data Atefehsadat Haghighathoseini, Janusz Wojtusiak, Nirup M. Menon, Hua Min, Cara Frankenfeld, Timothy Leslie
2024	J	`jnl`	Exploring the Impact of GitHub Copilot on Health Informatics Education. Appl. Clin. Inform. Sanja Avramovic, Ivan Avramovic, Janusz Wojtusiak
2024	—	`conf`	Selection Bias from Data Processing in N3C. ICHI Atefehsadat Haghighathoseini, Mohammad Qodrati, Hua Min, Timothy Leslie, Cara Frankenfeld, Nirup M. Menon, Janusz Wojtusiak
2023	—	`conf`	Application of Synthetic Datasets across Courses in Health Informatics Education. ICHI Hua Min, Hedyeh Mobahi, Janusz Wojtusiak
2022	—	`conf`	Dashboard for Machine Learning Models in Health Care. HEALTHINF Wejdan Bagais, Janusz Wojtusiak
2022	—	`conf`	Discussion on Comparing Machine Learning Models for Health Outcome Prediction. HEALTHINF Janusz Wojtusiak, Negin Asadzadehzanjani
2022	—	`conf`	From Undergraduate to Doctoral Health Informatics Training: A Data Focus. ICHI Janusz Wojtusiak, Hua Min
2022	—	`conf`	From Wearable Device to OpenEMR: 5G Edge Centered Telemedicine and Decision Support System. HEALTHINF Ying Wang, Patricia Tran, Janusz Wojtusiak
2021	Misc	`conf`	Active Learning Based User-Defined Chest X-Ray Diagnosis System Leveraging 5G Infrastructure for COVID-19 Variant Detection. AMIA Ying Wang, Janusz Wojtusiak
2021	—	`conf`	Administrative Health Data Representation for Mortality and High Utilization Prediction. Poly/DMAH@VLDB Negin Asadzadehzanjani, Janusz Wojtusiak
2021	J	`jnl`	COVID-19 Symptom Monitoring and Social Distancing in a University Population. J. Heal. Informatics Res. Janusz Wojtusiak, Pramita Bagchi, Sri Surya Krishna Rama Taraka Naren Durbha, Hedyeh Mobahi, Reyhaneh Mogharab Nia, Amira Roess
2021	J	`jnl`	Computational Barthel Index: an automated tool for assessing and predicting activities of daily living among nursing home patients. BMC Medical Informatics Decis. Mak. Janusz Wojtusiak, Negin Asadzadehzanjani, Cari Levy, Farrokh Alemi, Allison E. Williams
2021	Misc	`conf`	Dashboard for Machine Learning Models in Health Care. AMIA Wejdan Bagais, Janusz Wojtusiak
2021	Misc	`conf`	Do Clusters and Sequence of Symptoms Predict COVID-19 Test Results? AMIA Janusz Wojtusiak, Wejdan Bagais, Hedyeh Mobahi, Elina Guralnik, Amira Roess, Farrokh Alemi
2021	J	`jnl`	Location prediction using GPS trackers: Can machine learning help locate the missing people with dementia? Internet Things Janusz Wojtusiak, Reyhaneh Mogharab Nia
2021	—	`conf`	Online Decision Support Tool that Explains Temporal Prediction of Activities of Daily Living (ADL). HEALTHINF Janusz Wojtusiak, Negin Asadzaehzanjani, Cari Levy, Farrokh Alemi, Allison E. Williams
2021	—	`conf`	Reproducibility, Transparency and Evaluation of Machine Learning in Health Applications. HEALTHINF Janusz Wojtusiak
2021	—	`conf`	Using Wi-Fi Infrastructure to Predict Contacts During Pandemics. ICHI Janusz Wojtusiak, Ying Wang, Varalakshmi Vakkalagadda, Farrokh Alemi, Amira Roess
2020	—	`conf`	Introduction to the Minitrack on AI and Sustainability: The Use of AI in Sustainability Initiatives. HICSS Janusz Wojtusiak, Eunika Mercier-Laurent, Cindi Punihaole
2020	Misc	`conf`	Using Landmark Information to Enhance Location Prediction for Missing People with Alzheimer's Disease. AMIA Reyhaneh Mogharab Nia, Janusz Wojtusiak
2019	Misc	`conf`	Generic vs. Specialized Models for Assessing Disabilities among People with Dementia. AMIA Negin Asadzadehzanjani, Janusz Wojtusiak, Allison E. Williams, Cari Levy
2019	A*	`conf`	Rapidly Determining the Starting Sample Size in Progressive Sampling: Mean Convergence is Sufficient. ICDM Amr ElRafey, Janusz Wojtusiak
2019	Misc	`conf`	Synthetic Data for Teaching Data Integration in Informatics Graduate Program. AMIA Hedyeh Mobahi, Hua Min, Janusz Wojtusiak
2019	Misc	`conf`	Using GPS to Locate the Missing and Track Wandering in People with Alzheimer's Disease. AMIA Janusz Wojtusiak, Reyhaneh Mogharab Nia, U. Nalla B. Durai, Beverly Middle, Robert Koester, Catherine Tompkins
2018	C	`conf`	Weighted Itemsets Error (WIE) Approach for Evaluating Generated Synthetic Patient Data. ICMLA Mojtaba Zare, Janusz Wojtusiak
2017	—	`conf`	C-Lace: Computational Model to Predict 30-Day Post-Hospitalization Mortality. HEALTHINF Janusz Wojtusiak, Eman Elashkar, Reyhaneh Mogharab Nia
2017	J	`jnl`	Predicting activities of daily living for cancer patients using an ontology-guided machine learning methodology. J. Biomed. Semant. Hua Min, Hedyeh Mobahi, Katherine Irvin, Sanja Avramovic, Janusz Wojtusiak
2016	Misc	`conf`	Applying Machine Learning Methods to Predict Activities of Daily Living for Cancer Patients. AMIA Hua Min, Talha Oz, Sava Vukomanovic, Hedyeh Mobahi, Katherine Irvin, Ilirjeta Krasniqi, Janusz Wojtusiak
2016	J	`jnl`	Extreme logistic regression. Adv. Data Anal. Classif. Che Ngufor, Janusz Wojtusiak
2016	—	`conf`	Guiding Supervised Learning by Bio-Ontologies in Medical Data Analysis. AI4KM@IJCAI Janusz Wojtusiak, Hua Min, Eman Elashkar, Hedyeh Mobahi
2016	Misc	`conf`	Towards Automated Selection of Patient-Specific Education Materials in Ambulatory Care Settings. AMIA Fatemah M. Aloudah, Janusz Wojtusiak
2016	Misc	`conf`	Visualizing the Effects of Cancers on Relationships Between Comorbidities and Activities of Daily Living. AMIA Hua Min, Talha Oz, Sava Vukomanovic, Hedyeh Mobahi, Katherine Irvin, Ilirjeta Krasniqi, Janusz Wojtusiak
2015	—	`conf`	A Systematic Prediction of Adverse Drug Reactions Using Pre-clinical Drug Characteristics and Spontaneous Reports. ICHI Che Ngufor, Janusz Wojtusiak, Jyotishman Pathak
2014	Misc	`conf`	Creating Clinically Homogeneous Groups of Prostate Cancer Patients. AMIA Janusz Wojtusiak, Che Ngufor, Lorens Helmchen, Jack Hadley
2014	Misc	`conf`	Extreme Logistic Regression: A Large Scale Learning Algorithm with Application to Prostate Cancer Mortality Prediction. FLAIRS Che Ngufor, Janusz Wojtusiak, Andrea Hooker, Talha Oz, Jack Hadley
2014	—	`ch.`	Rule Learning in Healthcare and Health Services Research. Machine Learning in Healthcare Informatics Janusz Wojtusiak
2013	Misc	`conf`	Machine Learning-based Detection of Health Data Elements. AMIA Andrej Kolacevski, Janusz Wojtusiak
2013	Misc	`conf`	Mining Progress Notes for Prediction of Activities of Daily Living. AMIA Talha Oz, Che Ngufor, Janusz Wojtusiak
2013	J	`jnl`	Unsupervised Labeling of Data for Supervised Learning and its Application to Medical claims Prediction. Comput. Sci. Che Ngufor, Janusz Wojtusiak
2012	—	`conf`	Clinical data analysis using ontology-guided rule learning. MIX-HS Hua Min, Janusz Wojtusiak
2012	Misc	`conf`	Comparison of Classification Learning Methods for Medical Claims Payments. AMIA Katherine Irvin, Janusz Wojtusiak
2012	J	`jnl`	Machine learning in agent-based stochastic simulation: Inferential theory and evaluation in transportation logistics. Comput. Math. Appl. Janusz Wojtusiak, Tobias Warden, Otthein Herzog
2012	J	`jnl`	Reasoning with unknown, not-applicable and irrelevant meta-values in concept learning and pattern discovery. J. Intell. Inf. Syst. Ryszard S. Michalski, Janusz Wojtusiak
2012	Misc	`conf`	Recent Advances in AQ21 Rule Learning System for Healthcare Data. AMIA Janusz Wojtusiak
2012	—	`conf`	Semantic Data Types in Machine Learning from Healthcare Data. ICMLA (1) Janusz Wojtusiak
2012	J	`jnl`	The learnable evolution model in agent-based delivery optimization. Memetic Comput. Janusz Wojtusiak, Tobias Warden, Otthein Herzog
2011	Misc	`conf`	Agent-based Pickup and Delivery Planning: The Learnable Evolution Model Approach. CISIS Janusz Wojtusiak, Tobias Warden, Otthein Herzog
2011	—	`ch.`	Model Learning from Published Aggregated Data. Learning Structure and Schemas from Documents Janusz Wojtusiak, Ancha V. Baranova
2011	—	`conf`	Rule-Based Prediction of Medical Claims' Payments: A Method and Initial Application to Medicaid Data. ICMLA (2) Janusz Wojtusiak, Che Ngufor, John Shiver, Ronald Ewald
2011	—	`conf`	Using Published Medical Results and Non-homogenous Data in Rule Learning. ICMLA (2) Janusz Wojtusiak, Katherine Irvin, Aybike Birerdinc, Ancha V. Baranova
2010	C	`conf`	Combining Rule Induction and Reinforcement Learning: An Agent-based Vehicle Routing. ICMLA Bartlomiej Sniezynski, Wojciech Wójcik, Jan D. Gehrke, Janusz Wojtusiak
2010	—	`ch.`	Ryszard S. Michalski: The Vision and Evolution of Machine Learning. Advances in Machine Learning I Janusz Wojtusiak, Kenneth A. Kaufman
2009	J	`jnl`	Building virtual community in computational intelligence and machine learning [Research Frontier]. IEEE Comput. Intell. Mag. Jacek M. Zurada, Maciej A. Mazurowski, Rommohan Ragade, Artur Abdullin, Janusz Wojtusiak, James E. Gentle
2009	J	`jnl`	The LEM3 System for Multitype Evolutionary Optimization. Comput. Informatics Janusz Wojtusiak
2009	J	`jnl`	Towards application of rule learning to the meta-analysis of clinical data: An example of the metabolic syndrome. Int. J. Medical Informatics Janusz Wojtusiak, Ryszard S. Michalski, Thipkesone Simanivanh, Ancha V. Baranova
2008	B	`conf`	Computational intelligence virtual community: Framework and implementation issues. IJCNN Jacek M. Zurada, Janusz Wojtusiak, Fahmida Chowdhury, James E. Gentle, Cedric J. Jeannot, Maciej A. Mazurowski
2008	—	`conf`	Traffic Prediction for Agent Route Planning. ICCS (3) Jan D. Gehrke, Janusz Wojtusiak
2007	—	`conf`	Generalizing Data in Natural Language. RSEISP Ryszard S. Michalski, Janusz Wojtusiak
2007	C	`conf`	The Natural Induction System AQ21 and its Application to Data Describing Patients with Metabolic Syndrome: Initial Results. ICMLA Janusz Wojtusiak, Ryszard S. Michalski, Thipkesone Simanivanh, Anna V. Baranova
2006	—	`conf`	An Integrated Multi-task Inductive Database VINLEN: Initial Implementation and Early Results. KDID Kenneth A. Kaufman, Ryszard S. Michalski, Jaroslaw Pietrzykowski, Janusz Wojtusiak
2006	B	`conf`	Intelligent Optimization via Learnable Evolution Model. ICTAI Ryszard S. Michalski, Janusz Wojtusiak, Kenneth A. Kaufman
2006	—	`conf`	Learning Symbolic User Models for Intrusion Detection: A Method and Initial Results. Intelligent Information Systems Ryszard S. Michalski, Kenneth A. Kaufman, Jaroslaw Pietrzykowski, Bartlomiej Sniezynski, Janusz Wojtusiak
2006	B	`conf`	The AQ21 Natural Induction Program for Pattern Discovery: Initial Version and its Novel Features. ICTAI Janusz Wojtusiak, Ryszard S. Michalski, Kenneth A. Kaufman, Jaroslaw Pietrzykowski
2006	A	`conf`	The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems. GECCO Janusz Wojtusiak, Ryszard S. Michalski
2006	—	`conf`	The Use of Compound Attributes inAQ Learning. Intelligent Information Systems Janusz Wojtusiak, Ryszard S. Michalski