Multidimensional Tensor Scan for Drug Overdose Surveillance

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Multidimensional Tensor Scan for Drug Overdose Surveillance

Introduction Drug overdoses are an increasingly serious problem in the United States and worldwide. The CDC estimates that 47,055 drug overdose deaths occurred in the United States in 2014, 61% of which involved opioids (including heroin, pain relievers such as oxycodone, and synthetics).1 Overdose deaths involving opioids increased 3-fold from 2000 to 2014.1 These statistics motivate public he...

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Machine Learning for Drug Overdose Surveillance

We describe two recently proposed machine learning approaches for discovering emerging trends in fatal accidental drug overdoses. The Gaussian Process Subset Scan enables early detection of emerging patterns in spatio-temporal data, accounting for both the non-iid nature of the data and the fact that detecting subtle patterns requires integration of information across multiple spatial areas and...

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Introduction Although Marin County ranks as the healthiest county in California, it ranks poorly in substance abuse indicators, including drug overdose mortality.1 Death certificates do not always include specific detail on the substances involved in a drug overdose.2 This lack of specificity makes it difficult to identify public health issues related to specific prescription drugs in our commu...

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ژورنال

عنوان ژورنال: Online Journal of Public Health Informatics

سال: 2017

ISSN: 1947-2579

DOI: 10.5210/ojphi.v9i1.7598