Acoustic analysis of speech for screening for suicide risk: Machine learning classifiers for between- and within-person evaluation of suicidality

Background: Assessing a patient’s suicide risk is challenging for health professionals because it depends on voluntary disclosure by the patient and often has limited resources. The application of novel machine learning approaches to determine suicide risk has clinical utility. Objective: This study aimed to investigate cross-sectional and longitudinal approaches to assess suicidality based on acoustic […]