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.
ISSN: 1947-3133; EISSN: 1947-3141. Published Quarterly.

COVERAGE (not limited to)
• 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
• 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

All submissions and inquiries should be directed to the attention of:
Aryya Gangopadhyay, gangopad@umbc.edu