All Outputs (4)

Mediators of the predictive relationship between a self-report measure of central mechanisms and future knee pain outcomes in the knee pain in the community (KPIC) cohort (2020)
Conference Proceeding
Matthews, R., Akin-Akinyosoye, K., Frowd, N., Swaithes, L., Stocks, J., Sarmanova, A., …Walsh, D. A. (2020). Mediators of the predictive relationship between a self-report measure of central mechanisms and future knee pain outcomes in the knee pain in the community (KPIC) cohort.

Pain distant from the index site and sensitization in people with knee pain and low back pain (2020)
Conference Proceeding
Akin-Akinyosoye, K., Georgopoulos, V., Frowd, N., Swaithes, L., Stocks, J., Fernandes, G. S., …Walsh, D. (2020). Pain distant from the index site and sensitization in people with knee pain and low back pain.

A data mining framework to model consumer indebtedness with psychological factors (2014)
Conference Proceeding
Ladas, A., Ferguson, E., Garibaldi, J. M., & Aickelin, U. (2014). A data mining framework to model consumer indebtedness with psychological factors.

Modelling Consumer Indebtedness has proven to be a problem of complex nature. In this work we utilise Data Mining techniques and methods to explore the multifaceted aspect of Consumer Indebtedness by examining the contribution of Psychological Factor... Read More about A data mining framework to model consumer indebtedness with psychological factors.

Using clustering to extract personality information from socio economic data
Conference Proceeding
Ladas, A., Aickelin, U., Garibaldi, J. M., & Ferguson, E. Using clustering to extract personality information from socio economic data.

It has become apparent that models that have been applied widely in economics, including Machine Learning techniques and Data Mining methods, should take into consideration principles that derive from the theories of Personality Psychology in order t... Read More about Using clustering to extract personality information from socio economic data.