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One Class Classification for Overdose Death Detection

Ram N.

In the past year alone there were an estimated 107,622 drug overdose deaths in just the United States. With such an incredible amount of deaths from just this, I thought it would be beneficial to create a model to predict who is at risk of drug overdose deaths.

This paper describes a model intended to predict drug overdose deaths given a certain amount of information. This was done by analyzing and formatting data of drug overdose deaths in the US during 2012 to 2018. The data was then put into a One Class Classification model which would be able to predict the likelihood of a drug overdose death. Three different models were used returning an f1 score of 0.836, 0.849, and 0.85 respectively.

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Ram N.
Eric Bradford
Electrical Engineering and Computer Science Masters from MIT, Technical PM at Apple

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Research Paper