Using Automated Coding of Nonverbal Behavior During a Suicide Assessment to Inform Risk Detection: Mixed Cross-Sectional and Exploratory Prospective Study.
This study demonstrates the importance of attending to nonverbal channels of communication in suicide assessments, especially those of the clinical interviewer and highlights the potential for automated coding to detect clinically meaningful information efficiently and objectively.
Ilana Gratch, Simon M. Li, Yu-Tong Zhu et al.
· JMIR Formative Research · 0 citations