Keynote: Personalizing Autism Care Through Machine Learning on Mobile Systems
Thursday, September 14, 2017 - 9:00am - 10:00am
Autism has exploded in rate and now impacts 1 in 50 US children. There is an urgent need to properly classify these children and to launch them onto sustainable therapy programs. Both suffer from a dramatic imbalance in the number of clinical practitioners and the number of children in need. We have begun to fill these resource gaps with machine learning tools aimed at rapid mobile detection and wearable therapy programs that all can operate outside of clinical settings. In this talk, I will describe our work to-date, its efficacy and opportunities for dynamic data capture and intervention outside of clinical settings.