@article{ref1,
title="A reproducible model based on clinical text for predicting suicidal behavior",
journal="Studies in health technology and informatics",
year="2024",
author="Obeid, Jihad S. and Tsalatsanis, Athanasios and Chaphalkar, Chaitanya and Robinson, Sara and Klein, Sierra and Cool, Sarah and Szwast, Elizabeth and Bunnell, Brian E.",
volume="310",
number="",
pages="1486-1487",
abstract="Suicide risk models are critical for prioritizing patients for intervention. We demonstrate a reproducible approach for training text classifiers to identify patients at risk. The models were effective in phenotyping suicidal behavior (F1=.94) and moderately effective in predicting future events (F1=.63).<p /> <p>Language: en</p>",
language="en",
issn="0926-9630",
doi="10.3233/SHTI231257",
url="http://dx.doi.org/10.3233/SHTI231257"
}