Artificial Intelligence and Data Mining techniques in medicine - Success stories

Fariba Shadabi, Dharmendra Sharma

Research output: A Conference proceeding or a Chapter in BookConference contribution

5 Citations (Scopus)

Abstract

Artificially Intelligent (AI) powered tools are able to deal with uncertain and incomplete data sets. Neural network classifiers have been successfully used for prediction purposes in many complex situations. Research shows that AI-based data mining tools have been also successfully used in many medical environments. This paper advances the understanding of the application of Artificial Intelligence and Data Mining tools to clinical data by demonstrating the potential of these techniques in complex clinical situations.

Original languageEnglish
Title of host publicationBioMedical Engineering and Informatics
Subtitle of host publicationNew Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008
Place of PublicationDanvers, USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages235-239
Number of pages5
ISBN (Print)9780769531182
DOIs
Publication statusPublished - 2008
EventBioMedical Engineering and Informatics: New Development and the Future - 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008 - Sanya, Hainan, China
Duration: 27 May 200830 May 2008

Conference

ConferenceBioMedical Engineering and Informatics: New Development and the Future - 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008
CountryChina
CitySanya, Hainan
Period27/05/0830/05/08

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  • Cite this

    Shadabi, F., & Sharma, D. (2008). Artificial Intelligence and Data Mining techniques in medicine - Success stories. In BioMedical Engineering and Informatics: New Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008 (pp. 235-239). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/BMEI.2008.170