Computer Assisted Medical Decision Making
38 resources related to Computer Assisted Medical Decision Making
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2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS)
The conference will provide an international forum for discussing the latest developments in the field of computational medicine, biomedical informatics and related fields.
Theoretical and practical aspects of machine learning (ML) algorithms and systems, ML systems involving applications in medicine, biology, industry, manufacturing, security, education, virtual environments, game playing, problem solving and energy.
2012 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
BIBM 2012 solicits high-quality original research papers (including significant work-in-progress) in any aspect of bioinformatics, biomedicine and healthcare informatics. New computational techniques and methods in machine learning; data mining; text analysis; pattern recognition; knowledge representation; databases; data modeling; combinatorics; stochastic modeling; string and graph algorithms; linguistic methods; robotics; constraint satisfaction; data visualization; parallel computation; data integration; modeling and simulation and their application in life science domain are especially encouraged.
Telemedicine, teleradiology, telepathology, telemonitoring, telediagnostics, 3D animations in health care, health information networks, clinical information systems, virtual reality applications in medicine, broadband technologies, and global information infrastructure design for health care.
The most highly-cited general interest journal in electrical engineering and computer science, the Proceedings is the best way to stay informed on an exemplary range of topics. This journal also holds the distinction of having the longest useful archival life of any EE or computer related journal in the world! Since 1913, the Proceedings of the IEEE has been the ...
De Maio, C.; Loia, V.; Fenza, G.; Gallo, M.; Linciano, R.; Morrone, A. Fuzzy Systems (FUZZ), 2011 IEEE International Conference on, 2011
Applying best available evidences to clinical decision making requires medical research sharing and (re)using. Recently, computer assisted medical decision making is taking advantage of Semantic Web technologies. In particular, the power of ontologies allows to share medical research and to provide suitable support to the physician's practices. This paper describes a system, named ODINO (Ontological Disease kNOwledge), aimed at supporting ...
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