@article{(Open Science Index):https://publications.waset.org/pdf/3145,
	  title     = {AudioMine: Medical Data Mining in Heterogeneous Audiology Records },
	  author    = {Shaun Cox and  Michael Oakes and  Stefan Wermter and  Maurice Hawthorne},
	  country	= {},
	  institution	= {},
	  abstract     = {We report on the results of a pilot study in which a data-mining tool was developed for mining audiology records. The records were heterogeneous in that they contained numeric, category and textual data. The tools developed are designed to observe associations between any field in the records and any other field. The techniques employed were the statistical chi-squared test, and the use of self-organizing maps, an unsupervised neural learning approach.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {1},
	  number    = {1},
	  year      = {2007},
	  pages     = {141 - 144},
	  ee        = {https://publications.waset.org/pdf/3145},
	  url   	= {https://publications.waset.org/vol/1},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 1, 2007},
	}