AudioMine: Medical Data Mining in Heterogeneous Audiology Records

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. Keywords--Audiology, Data Mining, Chi-squared, Self Organizing Maps.

• Type: Conference
• Year: 2004
• Where: IJIT
• Authors: Shaun Cox, Michael P. Oakes, Stefan Wermter, Maurice Hawthorne
• Keywords: Artificial Intelligence, IJIT 2004, Mining Audiology Records, Self Organizing Maps, Unsupervised Neural Learning