A framework for post-stroke quality of life prediction using structured prediction

Andrew Hines, John D. Kelleher

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2017 9th International Conference on Quality of Multimedia Experience, QoMEX 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538640241
DOIs
Publication statusPublished - 30 Jun 2017
Event9th International Conference on Quality of Multimedia Experience, QoMEX 2017 - Erfurt, Germany
Duration: 29 May 20172 Jun 2017

Publication series

Name2017 9th International Conference on Quality of Multimedia Experience, QoMEX 2017

Conference

Conference9th International Conference on Quality of Multimedia Experience, QoMEX 2017
Country/TerritoryGermany
CityErfurt
Period29/05/172/06/17

Keywords

  • QoE
  • QoL
  • Quality of Experience
  • Quality of Life
  • Stroke
  • Structured Prediction

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