IEEE Organizations related to Computer Assisted Medical Decision Making

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Conferences 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.

  • 2011 24th International Symposium on Computer-Based Medical Systems (CBMS)

    Computer-Based systems in biomedicine and healthcare, including medical robotics, imaging and vision, assistive technologies, terminologies and codes, information systems.

  • 2010 IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS)

    CBMS 2010 will provide an international forum for discussing the latest research in the field of computational biomedicine. The conference will include keynote addresses given by leading scientists in the field, as well as regular and special track presentations covering a broad range of issues relating to computing in medicine.

  • 2009 22nd IEEE International Symposium on Computer-Based Medical Systems (CBMS)

    CBMS 2009 has developed into an international forum for discussion on latest research in the exciting niche area of computational biomedicine. It consists of regular and special track oral presentation sessions of peer reviewed articles as well as invited talks given by leading scholars and scientists.


2012 Eleventh International Conference on Machine Learning and Applications (ICMLA)

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.

  • 2011 Tenth International Conference on Machine Learning and Applications (ICMLA)

    The conference provides a leading international forum for the dissemination of original research in ML, with emphasis on applications, novel algorithms, software and systems. Following the success of previous ICMLA conferences, it attracts researchers and application developers from a wide range of ML related areas such as statistical, probabilistic, fuzzy, evolutionary, inductive, and other kinds of learning, data mining, knowledge discovery, pattern recognition, knowledge acquisition and retrieval.

  • 2010 International Conference on Machine Learning and Applications (ICMLA)

    The conference provides a leading international forum for the dissemination of original research in ML, with emphasis on applications, novel algorithms, software and systems. Following the success of previous ICMLA conferences, it attracts researchers and application developers from a wide range of ML related areas such as statistical, probabilistic, fuzzy, evolutionary, inductive, and other kinds of learning, data mining, knowledge discovery, pattern recognition, knowledge acquisition and retrieval, databa

  • 2009 International Conference on Machine Learning and Applications (ICMLA)

    The conference provides a leading international forum for the dissemination of original research in ML, with emphasis on applications, novel algorithms, software and systems. Following the success of previous ICMLA conferences, it attracts researchers and application developers from a wide range of ML related areas such as statistical, probabilistic, fuzzy, evolutionary, inductive, and other kinds of learning, data mining, knowledge discovery, pattern recognition, knowledge acquisition and retrieval.

  • 2008 International Conference on Machine Learning and Applications (ICMLA)

    The conference provides a leading international forum for the dissemination of original research in ML, with emphasis on applications, novel algorithms, software and systems. Following the success of previous ICMLA conferences, it attracts researchers and application developers from a wide range of ML related areas such as statistical, probabilistic, fuzzy, evolutionary, inductive, and other kinds of learning, data mining, knowledge discovery, pattern recognition, knowledge acquisition and retrieval, databa

  • 2007 International Conference on Machine Learning and Applications (ICMLA)

    The conference provides a leading international forum for the dissemination of original research in ML, with emphasis on applications, novel algorithms, software and systems. Following the success of previous ICMLA conferences, it attracts researchers and application developers from a wide range of ML related areas such as statistical, probabilistic, fuzzy, evolutionary, inductive and other kinds of learning, data mining, knowledge discovery, pattern recognition and etc.


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



Periodicals related to Computer Assisted Medical Decision Making

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Information Technology in Biomedicine, IEEE Transactions on

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.


Proceedings of the IEEE

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 ...



Most published Xplore authors for Computer Assisted Medical Decision Making

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Xplore Articles related to Computer Assisted Medical Decision Making

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A semiotic approach to data in medical decision making

Kwiatkowska, M.; McMillan, L. Fuzzy Systems (FUZZ), 2010 IEEE International Conference on, 2010

Computer-based support for medical decision making has been a subject of many research projects since the earliest days of computers. Although the early expert systems promised to automate medical diagnosis, very few systems were actually utilized in clinical settings. In the last twenty years, the intent to use computers to replace or simulate medical experts has changed to a less ...


Understanding Challenges in Preserving and Reconstructing Computer-Assisted Medical Decision Processes

Sang-Chul Lee; Bajcsy, P. Machine Learning and Applications, 2007. ICMLA 2007. Sixth International Conference on, 2007

This paper addresses the problem of understanding preservation and reconstruction requirements for computer- aided medical decision-making. With an increasing number of computer-aided decisions having a large impact on our society, the motivation for our work is not only to document these decision processes semi-automatically but also to understand the preservation cost and related computational requirements. Our objective is to support ...


A Comparative Medical Informatics Approach to Traumatic Pelvic Injuries

Soo-Yeon Ji; Huynh, T.; van Najarian, K. Bioinformatics and Biomedicine, 2007. BIBM 2007. IEEE International Conference on, 2007

Traumatic pelvic injury is one of the life-threatening injuries because it is often associated with serious hemorrhage. Therefore, it is necessary to provide immediate medical treatments to the pelvic injury patients. But it is often difficult to make a decision because of a lot of similar cases existed. To help this problem, there are several medical applications designed to provide ...


Cooperative Medical Decision Support

Hudson, D.L.; Cohen, M.E. Computer Science and Information Engineering, 2009 WRI World Congress on, 2009

Traditional medical decision support systems have not met with widespread use in clinical practice. Issues that have prevented clinical adoption include narrow domain focus, models which are not sufficiently deep, and lack of trust in the system's reliability. While the methodologies may be sound, the acquisition of sufficient medical domain knowledge is often the drawback. In this work, basic methodologies ...


Structuring medical information for computer-assisted decision support

Hudson, D.L.; Cohen, M.E. Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE, 1997

Due to the time required for design and implementation, it is difficult for medical decision support systems to keep pace with the rapid developments in computer technology and rapid information growth. In this article, diverse data types which are found in medical records are analyzed in light of the impact of these advances, along with the effect that these changes ...


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Standards related to Computer Assisted Medical Decision Making

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Jobs related to Computer Assisted Medical Decision Making

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