Finding warning markers: Leveraging natural language processing and machine learning technologies to detect risk of school violence.
Journal:
International journal of medical informatics
Published Date:
Apr 25, 2020
Abstract
INTRODUCTION: School violence has a far-reaching effect, impacting the entire school population including staff, students and their families. Among youth attending the most violent schools, studies have reported higher dropout rates, poor school attendance, and poor scholastic achievement. It was noted that the largest crime-prevention results occurred when youth at elevated risk were given an individualized prevention program. However, much work is needed to establish an effective approach to identify at-risk subjects.