Predicting state level suicide fatalities in the united states with realtime data and machine learning

Predicting state level suicide fatalities in the united states with realtime data and machine learning

Abstract Digital trace data and machine learning techniques are increasingly being adopted to predict suicide-related outcomes at the individual level; however, there is also considerable public health need for timely data about suicide trends at the population level. Although significant geographic...

Full description

Bibliographic Details
Main Authors: Devashru Patel, Steven A. Sumner, Daniel Bowen, Marissa Zwald, Ellen Yard, Jing Wang, Royal Law, Kristin Holland, Theresa Nguyen, Gary Mower, Yushiuan Chen, Jenna Iberg Johnson, Megan Jespersen, Elizabeth Mytty, Jennifer M. Lee, Michael Bauer, Eric Caine, Munmun De Choudhury
Format: Article
Language:English
Published: Nature Portfolio 2024-01-01
Series:npj Mental Health Research
Online Access:https://doi.org/10.1038/s44184-023-00045-8

Internet

https://doi.org/10.1038/s44184-023-00045-8

Similar Items