TY - CHAP
T1 - Chi-squared, Yule’s Q and likelihood ratios in tabular audiology data
AU - Anwar, Naveed
AU - Oakes, Michael
AU - McGarry, Ken
PY - 2011/6/7
Y1 - 2011/6/7
N2 - In this chapter, we have used the chi-squared test and Yule’s Q measure to discover associations in tables of patient audiology data. These records are examples of heterogeneous medical records, since they contain audiograms, textual notes and typical relational fields. In our first experiment we used the chi-squared measure to discover associations between the different fields of audiology data such as patient gender and patient age with diagnosis and the type of hearing aid worn. Then, in our second experiment we used Yule’s Q to discover the strength and direction of the significant associations found by the chi-squared measure. Finally, we examined the likelihood ratio used in Bayesian evidence evaluation. We discuss our findings in the context of producing an audiology decision support system.
AB - In this chapter, we have used the chi-squared test and Yule’s Q measure to discover associations in tables of patient audiology data. These records are examples of heterogeneous medical records, since they contain audiograms, textual notes and typical relational fields. In our first experiment we used the chi-squared measure to discover associations between the different fields of audiology data such as patient gender and patient age with diagnosis and the type of hearing aid worn. Then, in our second experiment we used Yule’s Q to discover the strength and direction of the significant associations found by the chi-squared measure. Finally, we examined the likelihood ratio used in Bayesian evidence evaluation. We discuss our findings in the context of producing an audiology decision support system.
UR - http://capitadiscovery.co.uk/northumbria-ac/items/1764678
UR - http://capitadiscovery.co.uk/northumbria-ac/items/1764678
U2 - 10.1007/978-94-007-1192-1_30
DO - 10.1007/978-94-007-1192-1_30
M3 - Chapter
SN - 9789400711914
T3 - Lecture Notes in Electrical Engineering
SP - 365
EP - 376
BT - Electrical Engineering and Applied Computing
A2 - Ao, Sio-long
A2 - Gelman, Len
PB - Springer
CY - London
ER -