AudioMine: Medical Data Mining in Heterogeneous Audiology Records
International Journal of Computational Intelligence,
Volume 1,
pages 1--12,
- Jan 2004
We report on the results of a pilot study in which a datamining 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 chisquared test, and the use of
selforganizing maps, an unsupervised neural learning
approach.
@Article{COWH04, author = {Cox, Shaun and Oakes, Michael Philip and Wermter, Stefan and Hawthorne, Maurice}, title = {AudioMine: Medical Data Mining in Heterogeneous Audiology Records}, journal = {International Journal of Computational Intelligence}, number = {}, volume = {1}, pages = {1--12}, year = {2004}, month = {Jan}, publisher = {}, doi = {}, }