Document Type
Conference Paper
Rights
Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence
Disciplines
1.2 COMPUTER AND INFORMATION SCIENCE, 3. MEDICAL AND HEALTH SCIENCES, Health care sciences and services
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.
DOI
https://doi.org/ 10.1109/QoMEX.2017.7965672
Recommended Citation
Hines, A., & Kelleher, J. (2017). A Framework for Post-Stroke Quality of Life Prediction using Structured Prediction. Ninth International Conference on Quality of Multimedia Experience (QoMEX), 2017. doi:10.1109/QoMEX.2017.7965672
Funder
SFI
Publication Details
Ninth International Conference on Quality of Multimedia Experience (QoMEX), 2017, Erfurt, Germany.