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International Journal of Computational Models and Algorithms in Medicine (IJCMAM)

An Official Publication of the Information Resources Management Association
Published Quarterly. Est. 2010.
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Institutions: Print
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DOI: 10.4018/IJCMAM, ISSN: 1947-3133, EISSN: 1947-3141
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Gangopadhyay, Aryya. "International Journal of Computational Models and Algorithms in Medicine (IJCMAM)." (2010). Web. 16 Apr. 2014. doi:10.4018/IJCMAM


Gangopadhyay, A. (2010). International Journal of Computational Models and Algorithms in Medicine (IJCMAM). doi:10.4018/IJCMAM


Gangopadhyay, Aryya. "International Journal of Computational Models and Algorithms in Medicine (IJCMAM)," (2010), accessed (April 16, 2014), doi:10.4018/IJCMAM

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International Journal of Computational Models and Algorithms in Medicine (IJCMAM)
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The International Journal of Computational Models and Algorithms in Medicine (IJCMAM) provides comprehensive coverage of computational capabilities, prototypes, and algorithms for medical applications. IJCMAM covers methods for organizing, retrieving, managing, and discovering data found in medicine, as well as includes articles that deal with different types of data such as numeric, text, temporal, spatial, and multimedia. This journal offers state-of-the-art research on unique characteristics of issues in medicine and innovative techniques to solve them.


Journal Contents

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Volume 4: 1 Issue (2014)
Volume 3: 4 Issues (2012)
Volume 2: 4 Issues (2011)
Volume 1: 4 Issues (2010)
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The mission of the International Journal of Computational Models and Algorithms in Medicine (IJCMAM) is to bring together a compendium of quality research work in the field of computational models and algorithms as applied to the field of medicine. This journal emphasizes developing computational models and algorithms, as well as exploratory data analysis techniques for large volumes of numerical, temporal, spatial, text, and image data. Targeting researchers, practitioners, academicians, and medical professionals, IJCMAM provides a forum for sharing and developing new research methods, gaining knowledge about innovative techniques, and discussing new problems and challenges to develop ideas and implement existing methods in the field of medicine.


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Topics Covered

  • Association rules in medical applications
  • Bioinformatics
  • Biomedical data mining
  • Biomedical terminologies and ontologies
  • Classification and prediction models in medicine
  • Clinical decision support
  • Clinical trials
  • Clustering medical data
  • Computer-aided annotation
  • Data and knowledge representation in medicine
  • Disease detection
  • Disease management
  • Disease monitoring
  • Drug discovery
  • Efficient algorithms for processing medical data
  • Evaluation of clinical knowledge
  • Extraction of functional information from biomedical literature
  • Impact of e-health and smart technology on patient management
  • Knowledge acquisition in medicine
  • Medical image mining
  • Medical information modeling and sharing
  • Mining temporal data in medicine
  • Personalized medicine
  • Principal component analysis and singular value decomposition for clustering and dimensionity reduction
  • Text mining for biomedicine
  • Trust and privacy issues in medicine

Editor(s)-in-Chief Biography

Aryya Gangopadhyay is a professor and the chair of the department information systems at University of Maryland Baltimore County (UMBC). Dr. Gangopadhyay has a PhD degree in computer information systems from Rutgers University. He has published numerous peer-reviewed articles on privacy preserving data mining, data mining in medicine, data stream mining and navigating multi-dimensional databases. Dr. Gangopadhyay He has also co-authored and edited six books and he has received funding from NSF, US Department of Education, state and government agencies and private industries.

Editorial Board

Associate Editors
James Geller, New Jersey Institute of Technology, USA
Chiehwen Ed Hsu, University of Texas, Health Science Center at Houston, USA
Ashish Joshi, Nebraska Medical Center, USA
Zoran Orbadovic, Temple University, USA
Javad Parvizi, Thomas Jefferson University and Rothman Institute, USA
Robert Poston, Boston University and Boston Medical Center, USA
Sudha Ram, University of Arizona, USA
Fran├žoise Seillier-Moiseiwitsch, Georgetown University Medical Center, USA
Ravinder Wali, University of Maryland Medical School, USA
Jack Y. Yang, Harvard Medical School and Massachusetts General Hospital, USA
Mary Q. Yang, National Institutes of Health (NIH), USA

International Editorial Review Board
Madhu Ahluwalia, Harris Healthcare Solutions, USA
Madhushri Banerjee, Georgia Gwinnett College, USA
Pimwadee Chaovalit, National Science Technology and Development Agency, Thailand
Soon Ae Chun, City University of New York, USA
Ellen Yi-Luen Do, Georgia Institute of Technology, USA
Samanwoy Ghosh Dastidar, BrainScope Company, Inc., USA
Yang Gong, School of Medicine, University of Missouri, USA
Zhensen Huang, Precise Software Solutions, Inc., USA
Maricel Kahn, University of Maryland Baltimore County (UMBC), USA
Vipul Kashyap, CIGNA Healthcare, USA
Navin Kumar, Advisory Board Company, USA
Xin Li, Georgetown University, USA
Hongfang Liu, Georgetown University, USA
Jiming Liu, Hong Kong Baptist University, Hong Kong
Simone A. Ludwig, North Dakota State University, USA
K. Moidu, Orlando Health, USA
Robert M. Patton, Oak Ridge National Laboratory, USA
Parisa Rashidi, Washington State University, USA
Iftikhar U. Sikder, Cleveland State University, USA
Lisa Singh, Georgetown University, USA
Min Song, New Jersey Institute of Technology, USA
Duminda Wijesekera,George Mason University, USA
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