Predicting Imminent Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Preceding Physiological Signals.

Predicting Imminent Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Preceding Physiological Signals.
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DOI:
10.1145/3240925.3240980
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发表时间:
2018-05
期刊:
International Conference on Pervasive Computing Technologies for Healthcare : [proceedings]. International Conference on Pervasive Computing Technologies for Healthcare
影响因子:
--
通讯作者:
Ioannidis S
Ioannidis S
中科院分区:
其他
文献类型:
--
作者:
Goodwin MS;Özdenizci O;Cumpanasoiu C;Tian P;Guo Y;Stedman A;Peura C;Mazefsky C;Siegel M;Erdoğmuş D;Ioannidis S

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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.
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