Open AccessAnalysis of Unmet Healthcare Needs in Ireland: A Data Mining Approach
Author(s) -
Anatoli Nachev
Publication year - 2021
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.c2232.0210321
Subject(s) - health care , raw data , urbanization , survey data collection , domain (mathematical analysis) , environmental health , medicine , business , computer science , economic growth , economics , statistics , mathematics , programming language , mathematical analysis
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, indicators of 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