Predicting Imminent Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Preceding Physiological Signals.
Document Type
Article
Publication Date
5-1-2018
Institution/Department
Maine Medical Center Research Institute
Journal Title
Int Conf Pervasive Comput Technol Healthc
MeSH Headings
Adolescent, Humans, Autism Spectrum Disorder, Aggression
Abstract
We test the hypothesis that changes in preceding physiological arousal can be used to predict imminent aggression proximally before it occurs in youth with autism spectrum disorder (ASD) who are minimally verbal (MV-ASD). We evaluate this hypothesis through statistical analyses performed on physiological biosensor data wirelessly recorded from 20 MV-ASD youth over 69 independent naturalistic observations in a hospital inpatient unit. Using ridge-regularized logistic regression, results demonstrate that, on average, our models are able to predict the onset of aggression 1 minute before it occurs using 3 minutes of prior data with a 0.71 AUC for global, and a 0.84 AUC for person-dependent models.
ISSN
2153-1633
First Page
201
Last Page
207
Recommended Citation
Goodwin, Matthew S; Özdenizci, Ozan; Cumpanasoiu, Catalina; Tian, Peng; Guo, Yuan; Stedman, Amy; Peura, Christine; Mazefsky, Carla; Siegel, Matthew; Erdoğmuş, Deniz; and Ioannidis, Stratis, "Predicting Imminent Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Preceding Physiological Signals." (2018). Maine Medical Center. 1565.
https://knowledgeconnection.mainehealth.org/mmc/1565
