Using the spatial RIMER+ approach to estimate negative self-rated health and its causes across Northern Ireland

Alberto Calzada; Jun Liu; Chris Nugent; Hui Wang; Luis Martinez

doi:10.1007/978-3-319-13102-3_52

Using the spatial RIMER+ approach to estimate negative self-rated health and its causes across Northern Ireland

Alberto Calzada, Jun Liu, Chris Nugent, Hui Wang, Luis Martinez

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

2 Citations (Scopus)

Abstract

Self-rated health is a commonly-used survey technique that helps collecting information about the public health in an area. It is widely recognized that self-rated health has a strong correlation with key public-health variables such as deprivation, poverty, fear of crime or mortality. Therefore, it is a useful tool when assessing the public health situation of a neighborhood or town. This paper utilizes a recently-developed decision framework, named, Spatial RIMER+, to model a decision problem using real data where self-rated health is unknown in certain areas of Northern Ireland and needs to be estimated. The results retrieved in the study demonstrate the high accuracy of the methodology as well as its the flexibility and applicability to model a wide range of spatial decision scenarios.

Original language	English
Title of host publication	Ubiquitous Computing and Ambient Intelligence
Subtitle of host publication	Personalisation and User Adapted Services - 8th International Conference, UCAmI 2014, Proceedings
Editors	Ramón Hervás, José Bravo, Sungyoung Lee, Chris Nugent
Publisher	Springer Verlag
Pages	312-319
Number of pages	8
ISBN (Electronic)	9783319131016
DOIs	https://doi.org/10.1007/978-3-319-13102-3_52
Publication status	Published (in print/issue) - 2014

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8867
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Bibliographical note

Publisher Copyright:
© Springer International Publishing Switzerland 2014.

Keywords

Knowledge representation
Self-Rated Health
Spatial Decision Support Rule-Based Systems Knowledge-based approach

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-319-13102-3_52

Cite this

Calzada, A., Liu, J., Nugent, C., Wang, H., & Martinez, L. (2014). Using the spatial RIMER+ approach to estimate negative self-rated health and its causes across Northern Ireland. In R. Hervás, J. Bravo, S. Lee, & C. Nugent (Eds.), Ubiquitous Computing and Ambient Intelligence: Personalisation and User Adapted Services - 8th International Conference, UCAmI 2014, Proceedings (pp. 312-319). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8867). Springer Verlag. https://doi.org/10.1007/978-3-319-13102-3_52

Calzada, Alberto ; Liu, Jun ; Nugent, Chris et al. / Using the spatial RIMER+ approach to estimate negative self-rated health and its causes across Northern Ireland. Ubiquitous Computing and Ambient Intelligence: Personalisation and User Adapted Services - 8th International Conference, UCAmI 2014, Proceedings. editor / Ramón Hervás ; José Bravo ; Sungyoung Lee ; Chris Nugent. Springer Verlag, 2014. pp. 312-319 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Self-rated health is a commonly-used survey technique that helps collecting information about the public health in an area. It is widely recognized that self-rated health has a strong correlation with key public-health variables such as deprivation, poverty, fear of crime or mortality. Therefore, it is a useful tool when assessing the public health situation of a neighborhood or town. This paper utilizes a recently-developed decision framework, named, Spatial RIMER+, to model a decision problem using real data where self-rated health is unknown in certain areas of Northern Ireland and needs to be estimated. The results retrieved in the study demonstrate the high accuracy of the methodology as well as its the flexibility and applicability to model a wide range of spatial decision scenarios.",

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Calzada, A, Liu, J , Nugent, C, Wang, H & Martinez, L 2014, Using the spatial RIMER+ approach to estimate negative self-rated health and its causes across Northern Ireland. in R Hervás, J Bravo, S Lee & C Nugent (eds), Ubiquitous Computing and Ambient Intelligence: Personalisation and User Adapted Services - 8th International Conference, UCAmI 2014, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8867, Springer Verlag, pp. 312-319. https://doi.org/10.1007/978-3-319-13102-3_52

Using the spatial RIMER+ approach to estimate negative self-rated health and its causes across Northern Ireland. / Calzada, Alberto; Liu, Jun ; Nugent, Chris et al.
Ubiquitous Computing and Ambient Intelligence: Personalisation and User Adapted Services - 8th International Conference, UCAmI 2014, Proceedings. ed. / Ramón Hervás; José Bravo; Sungyoung Lee; Chris Nugent. Springer Verlag, 2014. p. 312-319 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8867).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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T1 - Using the spatial RIMER+ approach to estimate negative self-rated health and its causes across Northern Ireland

AU - Calzada, Alberto

AU - Liu, Jun

AU - Nugent, Chris

AU - Wang, Hui

AU - Martinez, Luis

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2014.

PY - 2014

Y1 - 2014

N2 - Self-rated health is a commonly-used survey technique that helps collecting information about the public health in an area. It is widely recognized that self-rated health has a strong correlation with key public-health variables such as deprivation, poverty, fear of crime or mortality. Therefore, it is a useful tool when assessing the public health situation of a neighborhood or town. This paper utilizes a recently-developed decision framework, named, Spatial RIMER+, to model a decision problem using real data where self-rated health is unknown in certain areas of Northern Ireland and needs to be estimated. The results retrieved in the study demonstrate the high accuracy of the methodology as well as its the flexibility and applicability to model a wide range of spatial decision scenarios.

AB - Self-rated health is a commonly-used survey technique that helps collecting information about the public health in an area. It is widely recognized that self-rated health has a strong correlation with key public-health variables such as deprivation, poverty, fear of crime or mortality. Therefore, it is a useful tool when assessing the public health situation of a neighborhood or town. This paper utilizes a recently-developed decision framework, named, Spatial RIMER+, to model a decision problem using real data where self-rated health is unknown in certain areas of Northern Ireland and needs to be estimated. The results retrieved in the study demonstrate the high accuracy of the methodology as well as its the flexibility and applicability to model a wide range of spatial decision scenarios.

KW - Knowledge representation

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 312

EP - 319

BT - Ubiquitous Computing and Ambient Intelligence

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Calzada A, Liu J , Nugent C, Wang H, Martinez L. Using the spatial RIMER+ approach to estimate negative self-rated health and its causes across Northern Ireland. In Hervás R, Bravo J, Lee S, Nugent C, editors, Ubiquitous Computing and Ambient Intelligence: Personalisation and User Adapted Services - 8th International Conference, UCAmI 2014, Proceedings. Springer Verlag. 2014. p. 312-319. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-13102-3_52

Using the spatial RIMER+ approach to estimate negative self-rated health and its causes across Northern Ireland

Abstract

Publication series

Bibliographical note

Keywords

UN SDGs

Access to Document

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