Discovering the unclassified suicide cases among undetermined drug overdose deaths using machine learning techniques

Objective The Centers for Disease Control and Prevention (CDC) monitor accidental and intentional deaths to answer questions that are critical for the development of effective prevention and resource allocation. CDC’s National Violent Death Reporting System (NVDRS) is a major innovation in surveillance linking individual-level data from multiple sources. However, suicide underreporting is common, particularly from […]

Using natural language processing to improve suicide classification requires consideration of race

Objectives To improve the accuracy of classification of deaths of undetermined intent and to examine racial differences in misclassification. Methods We used natural language processing and statistical text analysis on restricted-access case narratives of suicides, homicides, and undetermined deaths in 37 states collected from the National Violent Death Reporting System (NVDRS) (2017). We fit separate […]