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A Framework for Post-Stroke Quality of Life Prediction Using Structured Prediction |
Hines, Andrew; Kelleher, John
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<p>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.</p>
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Keyword(s):
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Quality of Life; Quality of Experience; QoL; QoE; Stroke; Structured Prediction; 1.2 COMPUTER AND INFORMATION SCIENCE, 3. MEDICAL AND HEALTH SCIENCES, Health care sciences and services; Computational Engineering |
Publication Date:
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2017 |
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Type:
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Conference item |
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Peer-Reviewed:
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Yes |
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Contributor(s):
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SFI; CONNECT research centre and ADAPT research centre |
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Institution:
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Dublin Institute of Technology |
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Citation(s):
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Hines, A, Kelleher, J. (2017) A Framework for Post-Stroke Quality of Life Prediction using Structured Prediction. <i>Ninth International Conference on Quality of Multimedia Experience (QoMEX), 2017</i> |
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Publisher(s):
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Dublin Institute of Technology |
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File Format(s):
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application/pdf |
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First Indexed:
2017-07-06 05:55:10 Last Updated:
2017-07-06 05:55:10 |
