The Application of Machine Learning and Predictive Modelling to Understand Risk of Overdose (A preliminary model)

In April 2016, British Columbia declared a public health emergency under the Public Health Act in response to increasing non-fatal and fatal overdose events in the province. Overdose remains a significant public health challenge. In 2020, 5.5 people died from illicit drug overdoses every day. Despite previous research that has identified risk factors for overdose, there is limited knowledge on their potential to predict fatal opioid overdose events. In this poster, we will describe the application of these machine learning methods to create two preliminary models to predict fatal overdose using data from the BC Provincial Overdose Cohort. TEAM Andy Man Yeung Tai, Alireza Kazemi, Amanda Slaunwhite, Kerry Jang, Michael Reinhard Krausz

BCCDC POSTER PRESENTER

10/18/2021 4:30:00 PM