Geospatial Clustering Analysis on Drug Abuse Emergencies Lee, Jinha Choi, Jung Im Yeh, Arthur Lan, Qizhen Kang, Hyojung 2021-12-24T18:11:53Z 2021-12-24T18:11:53Z 2022-01-04
dc.description.abstract The epidemic of drug abuse is a serious public health issue in the U.S. The number of overdose deaths involving prescription opioids and illicit drugs has continuously increased over the last few years. This study aims to develop a geospatial model that identifies geospatial clusters in terms of socioeconomic and demographic characteristics with an unsupervised machine learning algorithm. Then, we suggest the most important features affecting heroin overdose both negatively and positively. The findings of this study may inform policymakers about strategies to mitigate the drug overdose crisis.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2022.697
dc.identifier.isbn 978-0-9981331-5-7
dc.language.iso eng
dc.relation.ispartof Proceedings of the 55th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subject Location Intelligence Research in System Sciences
dc.subject drug overdose
dc.subject geospatial clusters
dc.subject k-means algorithms
dc.subject unsupervised machine learning
dc.title Geospatial Clustering Analysis on Drug Abuse Emergencies
dc.type.dcmi text
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