Janusz Wojtusiak, PhD

Dr. Wojtusiak, Professor of Health Informatics and Director of the Machine Learning and Inference Laboratory, has expertise that spans machine learning, health informatics, artificial intelligence in clinical decision support and knowledge discovery in medical data, and a wide range of applications of these fields in health care. His particular area of interest is in developing algorithms that derive simple, transparent and usable models from complex health data to predict patient and population outcomes. He studies how to create and evaluate reproducible, unbiased and trustworthy algorithms and models.

Dr. Wojtusiak serves as the Division Director for Health Informatics in the Department of Health Administration and Policy. He oversees undergraduate, master’s and doctoral programs in health informatics. Dr. Wojtusiak teaches several courses focused on machine learning, data mining, artificial intelligence and computing applied in medicine, healthcare and individual/population health.

He authored or co-authored over 100 research publications and presentations and continues to collaborate with multiple national and international institutions.

Research

Research Interests

• Health Informatics
• Artificial Intelligence
• Machine Learning
• Clinical decision support
• Population Health
• Computational Methods in Health 

Publications

For complete list, see https://www.mli.gmu.edu/jwojt

• Wojtusiak, J. and Asadzadehzanjani, N., “Discussion on Comparing Machine Learning Models for Health Outcome Prediction,” HEALTHINF 2022, 5, 713-720, 2022.

• Wojtusiak, J., Alemi, F., Asadzadehzanjani, N., Levy, C. and Williams, A., “Computational Barthel Index: an automated tool for assessing and predicting activities of daily living among nursing home patients,” BMC Medical Informatics and Decision Making, 21, 2021.

• Wojtusiak, J., Wang, Y., Vakkalagadda, V., Alemi, F. and Roess, A., "Using Wi-Fi Infrastructure to Predict Contacts During Pandemics," IEEE International Conference on Healthcare Informatics, Victoria, Canada, 2021.

• Wojtusiak, J. and Mogharab Nia, R., "Location Prediction Using GPS Trackers: Can Machine Learning Help Locate the Missing People with Dementia?," Internet of Things, Elsevier, 2021 (online since 2019).

• Wojtusiak, J., "Reproducibility, Transparency and Evaluation of Machine Learning in Health Applications," HEALTHINF, 2021.

• Wojtusiak, J., Asadzadehzanjani, N., Levy, C., Alemi, F. and Williams, A., "Online Decision Support Tool that Explains Temporal Prediction of Activities of Daily Living (ADL)," HEALTHINF, 2021.

• Wojtusiak, J., Bagchi, P., Durbha, S., Mobahi, H., Mogharab Nia, R. and Roess, A., "COVID-19 Symptom Monitoring and Social Distancing in a University Population," Journal of Health Informatics Research, 2021.

• Wojtusiak, J., Alemi, F., Asadzadehzanjani, N., Levy, C. and Williams, A., "Computational Barthel Index: an automated tool for assessing and predicting activities of daily living among nursing home patients," BMC Medical Informatics and Decision Making, 21, 2021.

• Wojtusiak, J., Bagchi, P., Durbha, S., Mobahi, H., Mogharab Nia, R. and Roess, A., "COVID-19 Symptom Monitoring and Social Distancing in a University Population," IEEE International Conference on Healthcare Informatics (ICHI), November, 2020.

• Kheirbek, R., Alemi, Y., Wojtusiak, J., Kheirbek, L., Madison, S., Fokar, A., Doukky, R. and Moore, H.J., "Impact of Hospice and Palliative Care Service Utilization on All-Cause 30-Day Readmission Rate for Older Adults Hospitalized with Heart Failure," American Journal of Hospice and Palliative Medicine, 2019.

Honors and Awards

• Shirley S. Travis Habit of Excellence Award, 2016, College of Health and Human Services, George Mason University
• Award for Outstanding Doctoral Work, 2008, George Mason University Department of Computational and Data Sciences
• Best poster presentation Award, 2007, Sixth International Conference on Machine Learning and Applications

Degrees

• PhD, Computational Sciences and Informatics, George Mason University
• MS, Computer Science, Jagiellonian University, Krakow, Poland