Health Informatics

  • Tue, 10/20/2015 - 19:30

    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.

  • Tue, 10/20/2015 - 19:24

    Sanja Avramovic is an associate professor in the Department of Health Administration and Policy at George Mason University. Her research focus is on big data sets available through electronic health records; health informatics; and developing an efficient and scalable algorithm for variable selection and predictions.

  • Tue, 10/20/2015 - 19:24

    Dr. Madison is an Assistant Professor in Health Informatics and the Coordinator of the Health Informatics Capstone Program. Capitalizing on her experience in health policy and health informatics, as well as her clinical background, Dr. Madison is able to build bridges across disciplines and support collaborations among diverse groups of researchers.

  • Tue, 10/20/2015 - 19:24

    Dr. Garrison is an associate professor in the School of Nursing

  • Tue, 10/20/2015 - 19:24

    Farrokh Alemi was trained as an operations researcher and industrial engineer and has worked in both academia and health industry. He has more than 105 peer reviewed publications in journals such as Health Services Research, Medical Care, and Palliative Medicine.

  • Tue, 10/20/2015 - 19:24

    Dr. Yiota Kitsantas, Professor of Biostatistics and Epidemiology in the Department of Health Administration and Policy, has extensive research experience in the fields of child and maternal health, especially around utilizing data mining techniques to address various public health issues in these populations.

  • Tue, 10/20/2015 - 19:24

    Dr. Hua Min is an associate professor in the Department of Health Administration and Policy. Min’s research interests are ontology-based data integration, ontology-based machine learning methods, data extraction and analysis from various EHR systems.