Data Mining for Gender Differences in Tinnitus

Michael Oakes, Muhammad Anwar, Christo Panchev

    Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

    2 Citations (Scopus)

    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.
    Original languageEnglish
    Title of host publicationProceedings of World Congress on Engineering
    Pages1504-1509
    Number of pages6
    Publication statusPublished - 2013
    EventWorld Congress on Engineering 2013 - London, United Kingdom
    Duration: 3 Jul 20135 Jul 2013

    Conference

    ConferenceWorld Congress on Engineering 2013
    Abbreviated titleWCE2013
    Country/TerritoryUnited Kingdom
    CityLondon
    Period3/07/135/07/13

    Fingerprint

    Dive into the research topics of 'Data Mining for Gender Differences in Tinnitus'. Together they form a unique fingerprint.

    Cite this