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

Published Semi-Annually. Est. 2010.
ISSN: 1947-3133|EISSN: 1947-3141|DOI: 10.4018/IJCMAM|
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Khosrow-Pour, Mehdi. "International Journal of Computational Models and Algorithms in Medicine (IJCMAM)." (2010). Web. 21 Apr. 2015. doi:10.4018/IJCMAM


Khosrow-Pour, M. (2010). International Journal of Computational Models and Algorithms in Medicine (IJCMAM). doi:10.4018/IJCMAM


Khosrow-Pour, Mehdi. "International Journal of Computational Models and Algorithms in Medicine (IJCMAM)," (2010), accessed (April 21, 2015), doi:10.4018/IJCMAM

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The International Journal of Computational Models and Algorithms in Medicine (IJCMAM) provides comprehensive coverage on 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.


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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

Mehdi Khosrow-Pour, D.B.A. received his Doctorate in Business Administration from the Nova Southeastern University (Florida, USA). Dr. Khosrow-Pour taught undergraduate and graduate information system courses at the Pennsylvania State University – Harrisburg for 20 years. He is currently Executive Editor at IGI Global ( He also serves as Executive Director of the Information Resources Management Association (IRMA) (, and Executive Director and President of the World Forgotten Children’s Foundation ( He is the author/editor of over twenty books in information technology management. He is also the editor-in-chief of the Information Resources Management Journal, the Journal of Cases on Information Technology, the Journal of Electronic Commerce in Organizations, and the Journal of Information Technology Research, and has authored more than 50 articles published in various conference proceedings and scholarly journals.

Editorial Board

Associate Editors
James Geller, New Jersey Institute of Technology, USA
Chiehwen Ed Hsu, U. of Texas, Health Science Center at Houston, USA
Ashish Joshi, Nebraska Medical Center, USA
Zoran Orbadovic, Temple U., USA
Javad Parvizi, Thomas Jefferson U. and Rothman Institute, USA
Robert Poston, Boston U. and Boston Medical Center, USA
Sudha Ram, U. of Arizona, USA
Françoise Seillier-Moiseiwitsch, Georgetown U. Medical Center, USA
Ravinder Wali, U. 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 U. 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, U. of Missouri, USA
Zhensen Huang, Precise Software Solutions, Inc., USA
Maricel Kahn, U. of Maryland Baltimore County (UMBC), USA
Vipul Kashyap, CIGNA Healthcare, USA
Navin Kumar, Advisory Board Company, USA
Xin Li, Georgetown U., USA
Hongfang Liu, Georgetown U., USA
Jiming Liu, Hong Kong Baptist U., Hong Kong
Simone A. Ludwig, North Dakota State U., USA
K. Moidu, Orlando Health, USA
Robert M. Patton, Oak Ridge National Laboratory, USA
Parisa Rashidi, Washington State U., USA
Iftikhar U. Sikder, Cleveland State U., USA
Lisa Singh, Georgetown U., USA
Min Song, New Jersey Institute of Technology, USA
Duminda Wijesekera,George Mason U., USA
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