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Analysis of Unmet Healthcare Needs in Ireland: A Data Mining Approach

[journal article]

Nachev, Anatoli

Abstract

This study explores data form the Survey of Income and Living Condition (SILC), related to factors contributing to unmet healthcare needs in Ireland. We analysed predisposing, enabling and needs factors by building predictive models and measured the predictor importance by sensitivity analysis. Res... view more

This study explores data form the Survey of Income and Living Condition (SILC), related to factors contributing to unmet healthcare needs in Ireland. We analysed predisposing, enabling and needs factors by building predictive models and measured the predictor importance by sensitivity analysis. Results show that critical factors for meeting the healthcare needs include financial status, degree of urbanization, indicatorsof social exclusion and deprivations, and self-perceived general health condition. Identifying and quantifying those factors form raw data may facilitate decision making in the domain.... view less

Keywords
Ireland; health care; classification; regression; financial situation; urbanization; deprivation; exclusion; health status

Classification
Medical Sociology

Free Keywords
EU-SILC 2018; unmet healthcare; data mining; logistic regression

Document language
English

Publication Year
2021

Page/Pages
p. 81-86

Journal
International Journal of Engineering and Advanced Technology, 10 (2021) 3

DOI
https://doi.org/10.35940/ijeat.C2232.0210321

ISSN
2249-8958

Status
Published Version; peer reviewed

Licence
Creative Commons - Attribution-Noncommercial-No Derivative Works 4.0


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.