Title :
Artificial Intelligence and Data Mining Techniques in Medicine Success Stories
Author :
Shadabi, Fariba ; Sharma, Dharmendra
Author_Institution :
Sch. of Inf. Sci. & Eng., Univ. of Canberra, Canberra, ACT
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 Al-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.
Keywords :
artificial intelligence; biomedical engineering; data mining; medicine; neural nets; pattern classification; AI based data mining tools; artificial intelligence; clinical data; data mining techniques; medicine; neural network classifiers; Artificial intelligence; Artificial neural networks; Biomedical engineering; Cancer; Data mining; Databases; Diabetes; Intelligent systems; Machine learning; Medical expert systems; Data Mining; Medicine;
Conference_Titel :
BioMedical Engineering and Informatics, 2008. BMEI 2008. International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-0-7695-3118-2
DOI :
10.1109/BMEI.2008.170