Description
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.
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
Mission and Scope
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.
Table of Contents and List of Contributors
Volume 4: 2 Issues (2014)
Volume 4: 2 Issues (2014): Forthcoming, Available for Pre-Order
Volume 3: 4 Issues (2012)
Volume 3: 4 Issues (2012): Forthcoming, Available for Pre-Order
Volume 2: 4 Issues (2011)
Volume 2: 4 Issues (2011): Forthcoming, Available for Pre-Order
Volume 1: 4 Issues (2010)
Volume 1: 4 Issues (2010): Forthcoming, Available for Pre-Order
Indices
Editorial Board
- Associate Editors
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James Geller, New Jersey Institute of Technology, United States
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Sudha Ram, University of Arizona, United States
- Editorial Review Board
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Madhushri Banerjee, Georgia Gwinnett College, United States
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Pimwadee Chaovalit, National Science and Technology Development Agency, Thailand
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Soon Ae Chun, City University of New York, Staten Island, United States
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Ellen Do, Georgia Tech, United States
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Yang Gong, The University of Texas, United States
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Maricel Kahn, University of Maryland, Baltimore County, United States
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Xin Li, Georgetown University, United States
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Hongfang Liu, Georgetown University Medical Center, United States
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Jiming Liu, Hong Kong Baptist University, Hong Kong
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Simone Ludwig, North Dakota State University, United States
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Iftikhar Sikder, Cleveland State University, United States
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Lisa Singh, Georgetown University, United States
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Min Song, New Jersey Institute of Technology, United States
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Duminda Wijesekera, George Mason University, United States