A machine learning approach predicts future risk to suicidal ideation from social media data
Abstract Machine learning analysis of social media data represents a promising way to capture longitudinal environmental influences contributing to individual risk for suicidal thoughts and behaviors. Our objective was to generate an algorithm termed “Suicide Artificial Intelligence Prediction Heuri...
Main Authors: | Arunima Roy, Katerina Nikolitch, Rachel McGinn, Safiya Jinah, William Klement, Zachary A. Kaminsky |
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Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2020-05-01
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Series: | npj Digital Medicine |
Online Access: | https://doi.org/10.1038/s41746-020-0287-6 |
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