@inproceedings{16af36b8f9704fd591beccd63a63966c,
title = "A framework for post-stroke quality of life prediction using structured prediction",
abstract = "This paper presents a conceptual model that relates Quality of Life to the established Quality of Experience formation process. It uses concepts developed by the Quality of Experience community to propose an adapted framework for developing predictive models for Quality of Life. A mapping of common factors that can be applied to health related quality of life is proposed and practical challenges for modelling and applications are presented and discussed. The process of identifying and categorising factors and features is illustrated using stroke patient treatment as an example use case.",
keywords = "QoE, QoL, Quality of Experience, Quality of Life, Stroke, Structured Prediction",
author = "Andrew Hines and Kelleher, {John D.}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 9th International Conference on Quality of Multimedia Experience, QoMEX 2017 ; Conference date: 29-05-2017 Through 02-06-2017",
year = "2017",
month = jun,
day = "30",
doi = "10.1109/QoMEX.2017.7965672",
language = "English",
series = "2017 9th International Conference on Quality of Multimedia Experience, QoMEX 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2017 9th International Conference on Quality of Multimedia Experience, QoMEX 2017",
address = "United States",
}