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Spatial Analysis of Out-of-Hospital Cardiac Arrest Incidences

Balistreri, G. (2018) Spatial Analysis of Out-of-Hospital Cardiac Arrest Incidences.

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Abstract:Out-of-hospital cardiac arrest (OHCA) incidence varies greatly between geographic areas. Since survival rates are dramatically lower for OHCAs that have a response time longer than several minutes, areas with a relatively high incidence of OHCA cases may be appropriate targets for community-based resuscitation training. In two large regions in the Netherlands, we (1) identify high- and low-risk districts for OHCA, (2) determine whether these districts remain high- or low-risk over time, (3) find underlying demographic, socio-economic and ethnicity associations that may explain spatial disparities, and (4) explore the current state of resuscitation efforts to identify the most beneficial opportunities for short-term improvement, by focusing on communities at greatest risk. The emphasis is on determining the underlying associations between OHCA incidence and demographic, socio-economic and ethnicity factors at a district level, through the use of machine learning algorithms: Logistic Regression, Support Vector Machine, Artificial Neural Networks, and Adaptive Boosting. We observe considerable spatial disparities across districts in terms of OHCA incidence. Public health campaigns should target districts with a high proportion of low income receivers, recipients of labour disability acts, elderly population, male inhabitants, and a low proportion of married inhabitants. However, districts do not necessarily report similar rates over time.
Item Type:Essay (Master)
Clients:
Academisch Medisch Centrum, Amsterdam, Nederland
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:02 science and culture in general, 43 environmental science, 44 medicine, 54 computer science, 70 social sciences in general
Programme:Industrial Engineering and Management MSc (60029)
Link to this item:http://purl.utwente.nl/essays/74536
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