Session: Understanding and demonstrating the role of machine learning in prevention science (Society for Prevention Research 27th Annual Meeting)

Schedule:

Thursday, May 30, 2019: 10:15 AM-11:45 AM

Pacific A (Hyatt Regency San Francisco)

Theme: Big Data Integration

Moderator:

Jessica Cance

* noted as presenting author

327

Risk and Protective Factors of Current Opiate Use Among Youth Living on or Near Native American Reservations: An Application of Machine Learning.
Mark Prince, PhD, Colorado State University; Brad Conner, PhD, Colorado State University; Randall Craig Swaim, PhD, Colorado State University; Linda Stanley, PhD, Colorado State University

328

Making Prevention Primary in the U.S. Navy: Developing a Data-Driven Prevention Strategy
A. Monique Clinton-Sherrod, PhD, U.S. Navy; Thomas J Dixon, MS, U.S. Navy

329

Assessing the Validity and Equity of Predictive Analytics
Kristen R Johnson, PhD, University of Minnesota-Twin Cities

3-008 Understanding and demonstrating the role of machine learning in prevention science