DocumentCode :
3585040
Title :
Adolescent suicidal risk assessment in clinician-patient interaction: A study of verbal and acoustic behaviors
Author :
Venek, Verena ; Scherer, Stefan ; Morency, Louis-Philippe ; Rizzo, Albert ; Pestian, John
Author_Institution :
Inst. for Creative Technol., Univ. of Southern California, Playa Vista, CA, USA
fYear :
2014
Firstpage :
277
Lastpage :
282
Abstract :
Suicide among adolescents is a major public health problem: it is the third leading cause of death in the US for ages 13-18. Up to now, there is no objective ways to assess the suicidal risk, i.e. whether a patient is non-suicidal, suicidal re-attempter (i.e. repeater) or suicidal non-repeater (i.e. individuals with one suicide attempt or showing signs of suicidal gestures or ideation). Therefore, features of the conversation including verbal information and nonverbal acoustic information were investigated from 60 audio-recorded interviews of 30 suicidal (13 repeaters and 17 non-repeaters) and 30 non-suicidal adolescents interviewed by a social worker. The interaction between clinician and patients was statistically analyzed to reveal differences between suicidal vs. non-suicidal adolescents and to investigate suicidal repeaters´ behaviors in comparison to suicidal non-repeaters. By using a hierarchical ensemble classifier we were able to successfully discriminate non-suicidal patients, suicidal repeaters and suicidal non-repeaters.
Keywords :
behavioural sciences computing; medical administrative data processing; patient care; risk management; acoustic behaviors; adolescent suicidal risk assessment; clinician-patient interaction; nonsuicidal patient; nonverbal acoustic information; public health problem; social worker; suicidal reattempter patient; suicidal repeater behaviors; verbal behaviors; Accuracy; Acoustics; Feature extraction; Hospitals; Interviews; Repeaters; Speech; Suicide; adolescent; hierarchical classifier; interaction; re-attempt;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Spoken Language Technology Workshop (SLT), 2014 IEEE
Type :
conf
DOI :
10.1109/SLT.2014.7078587
Filename :
7078587
Link To Document :
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