Identifying suicide ideation in mental health application posts: A random forest algorithm.

The growing use of digitized mental health applications requires new reliable early screening tools to identify user suicide risk. We used a lexicon-based random forest machine learning algorithm to predict suicide ideation scores from 714 online community text posts from December 2019 to April 2020...

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Bibliographic Details

Published in:	Death Studies Vol. 47; no. 9; pp. 1044 - 1053
Main Authors:	Moradian, Hoora, Lau, Mark A., Miki, Andrew, Klonsky, E. David, Chapman, Alexander L.
Format:	Article
Published:	Taylor & Francis Ltd 2023
Subjects:	Social media Mental health Medical screening Suicidal ideation Digital health Random forest algorithms Machine learning Risk assessment Descriptive statistics Research funding Algorithms Early diagnosis
Online Access:	View this record in EBSCOhost