Oakes, Michael, Anwar, Naveed and Panchev, Christo (2013) Data mining for gender differences in tinnitus. In: World Congress on Engineering 2013, 3-5 July 2013, London.
Full text not available from this repository. (Request a copy)Abstract
We perform data mining on the publicly available Tinnitus Archive. A number of statistically significant associations with gender were found using the Chi-squared
test. These were age, onset rapidity, tinnitus localisation, number of tinnitus sounds heard, sleep interference due to tinnitus, feeling tired and ill because of tinnitus, index of noise exposure and subjective tinnitus pitch. No other associations with gender were statistically significant. In each case where a factor was found to be associated with gender, we analysed the data further by examining the standardised residuals. These showed that more men with tinnitus were younger, and more men had experience of noise exposure. Women were more likely to hear more than three sounds in their tinnitus, hear it in both ears, experience gradual onset of tinnitus, and hear it at lower pitches. Our findings are confirmed by the use of a measure derived from market basket analysis, that of lift.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | G400 Computer Science |
| Department: | Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering |
| Related URLs: | |
| Depositing User: | Naveed Anwar |
| Date Deposited: | 24 Apr 2015 14:11 |
| Last Modified: | 13 Oct 2019 00:33 |
| URI: | http://nrl.northumbria.ac.uk/id/eprint/22201 |
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