Using Algorithmic Solutions to Address Gatekeeper Training Issues for Suicide Prevention on College Campuses

In this chapter, we: (1) detail the problem scope and gatekeeper training as a solution to it, (2) delineate key issues that can impact GT as well as the consequences of ignoring them, (3) explore the value of social network information for GT recruitment, (4) explain the mathematical model of GT and an algorithmic solution approach that can account for gatekeeper, population, and institutional issues, and (5) describe experimental results that compare a novel algorithmic solution for GT recruitment with recruitment approaches that approximate common GT practice.

Keywords

gatekeeper training suicide mental health depression students

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Type: Chapter
Information: Artificial Intelligence for Healthcare
Interdisciplinary Partnerships for Analytics-driven Improvements in a Post-COVID World
, pp. 83 - 109
DOI: https://doi.org/10.1017/9781108872188.009 [Opens in a new window]
Publisher: Cambridge University Press
Print publication year: 2022

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