MIH 2017
The 1st Workshop on Medical Informatics and Healthcare
August 14th, 2017 -- Halifax, Nova Scotia - Canada


General Chairs

Technical Program Committee

  • Sameer Antani, NIH, NLM

  • Samuel Armato, University of Chicago

  • Abbas Babajani-Feremi, University of Tennessee Health Science Center

  • Jonathan Bate , Yale University

  • Hamidreza Chitsaz, Colorado State University

  • Rosa Figueroa, University of Utah

  • Jacob Furst, DePaul University

  • Adam Gaweda, University of Louisville

  • Jonathan Gemmell, DePaul University

  • Maryellen Giger, University of Chicago

  • Ali Haddad, Yale University

  • Jose Martin, University of Valencia

  • Robert Mcdougal, Yale University

  • Henning Mueller, University Hospital of Geneva, Switzerland

  • Douglas Redd, George Washington University

  • Mohammed Siadat, Oakland University

Biographies of General Chairs:

Dr. Samah Jamal Fodeh is an Assistant Professor at the Department of Emergency Medicine and Yale Center for Medical Informatics (YCMI) at Yale School of Medicine. She is also a research scientist at the Veterans Administration (VA) CT. She is a co-founder of the Data Mining in Biomedical Informatics and Healthcare (DMBIH) workshop that is held in conjunction with ICDM every year. She published several editorials in big biomedical data analytics. Her research has been supported by, NIH and the VA. Her research interests include data mining, machine learning, information retrieval and information extraction. Dr. Fodeh received her M.S. and Ph.D. degrees in Computer Science from Michigan State University in 2006 and 2010, respectively. 

Dr. Daniela Stan Raicu is a Professor of School of Computing in the College of Computing and Digital Media at DePaul University, Chicago. She is the founding Director of the DePaul Data Mining and Predictive Analytics (DaMPA) Center and co-director of the Medical Informatics (MedIX) Lab and the Intelligent Multimedia Processing (IMP) Lab. Her research interests include medical imaging, multimedia indexing and retrieval, machine learning and data mining. Daniela's projects have been funded by the National Science Foundation (NSF), Argonne National Laboratory, Department of Education, and McArthur Foundation. Daniela holds a Ph.D. in Computer Science from Oakland University, Michigan, a M.A. in Computer Science from Wayne State University, Michigan, and a B.S. in Mathematics from University of Bucharest, Romania.