Predicting aggression to others in youth with autism using a wearable biosensor.
Matthew S Goodwin, Carla A Mazefsky, Stratis Ioannidis and 2 others
PMID 31225952WHAT IT FOUND
Wearable biosensor data predicted aggression in the next minute with 84% average accuracy in 20 inpatient youth with autism, but this pilot did not test whether alerts reduce aggression.
Key findings
01Person-dependent models predicted aggression in the upcoming one minute with average AUC 0.84, compared with AUC 0.71 for a global model.
02Models using motion and physiological features outperformed models using only temporal information.
03All 20 participants tolerated the wrist-worn biosensor, and usable data were obtained in all cases.
STILL TO COME
How it was doneWhat they foundWhat it means for SLPs
Read the rest of this summary
You get three full summaries a month, free, and we do not ask for a card. Search, the TL;DRs and your library stay unlimited either way.
What it does not show
Only 20 participants from one inpatient site were studied, so the results may not apply to other settings or broader youth with autism. The authors note possible overfitting because the model design reduced opportunities for cross-training across time windows. Aggression frequency and duration varied greatly across participants. This makes it hard to determine how much training data drove prediction performance. The study tested prediction, not intervention; the authors say effectiveness of a biosensor-based system could be evaluated in future work. Most participants were minimally verbal and had severely impaired adaptive skills, so findings may not generalize to more verbal or outpatient youth.
Declared interests
The paper lists NIH extramural, non-U.S. government, and U.S. government non-PHS research support; no author conflict-of-interest declaration appears in the supplied text.
The easy way to misread this
Do not read the 84% average accuracy as proof that alerts will prevent aggression. The study tested prediction in 20 inpatient youth and did not test an intervention.