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Imbiriba 2023 — Wearable Biosensing to Predict Imminent Aggressive Behavior in Psychiatric Inpatient Youths With Autism

Citation: Imbiriba, T., Demirkaya, A., Singh, A., et al. (2023). JAMA Network Open, 6(12), e2348898.
DOI: 10.1001/jamanetworkopen.2023.48898
Type: Peer-reviewed study (prognostic)

Key Contribution

Largest replication and extension of wearable aggression prediction in ASD. 70 participants across 4 inpatient sites. First to separately model SIB, emotion dysregulation, and ATO.

Design

  • 70 participants (5-19 yrs, 88.6% male, 45.7% minimally verbal)
  • 429 sessions, 497 hours, 6665 aggressive behaviors
  • Empatica E4 wristband on non-dominant wrist
  • Models: logistic regression, SVM, neural networks, domain adaptation

Key Results

  • Logistic regression best overall
  • AUROC 0.80 predicting 3 min before onset (CI: 0.79-0.81)
  • Person-dependent outperformed population models

Impact

Established multi-site generalizability of the Goodwin approach. Domain adaptation promising for cross-subject generalization. Published in high-impact general medical journal (JAMA Network Open).

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