Measuring agreement on linguistic expressions in medical treatment scenarios
Javier Navarro, Christian Wagner, Uwe Aickelin, L Green, R Ashford
2016 IEEE Symposium Series on Computational Intelligence | IEEE | Published : 2016
Quality of life assessment represents a key process of deciding treatment success and viability. As such, patients’ perceptions of their functional status and well-being are important inputs for impairment assessment. Given that patient completed questionnaires are often used to assess patient status and determine future treatment options, it is important to know the level of agreement of the words used by patients and different groups of medical professionals. In this paper, we propose a measure called the Agreement Ratio which provides a ratio of overall agreement when modelling words through Fuzzy Sets (FSs). The measure has been specifically designed for assessing this agreement in fuzzy..View full abstract
Awarded by RCUK grant From Human Data to Personal Experience
Awarded by RCUK grant Prototyping Open Innovation Models for ICT-Enabled Manufacturing in Food and Packaging
This work was partially funded by the RCUK grant EP/M02315X/1 From Human Data to Personal Experience and Prototyping Open Innovation Models for ICT-Enabled Manufacturing in Food and Packaging EP/K014234/2.