Self-harm and suicidal behaviors are preventable if the risk can be identified early. It is critical to incorporate external knowledge to enhance suicide prediction performance. In this talk, Dr. Qingpeng Zhang will introduce recent research on developing knowledge-aware suicide risk prediction models in different contexts.

Three recipients will be presenting their research questions, study design, protocol and progress to date. Projects include “Leveraging the Power of Big Data for Predicting Future STDs among PLWH: A Pilot Study” by Dr. Bankole Olatosi, “Using EHR and Community Data to Predict Medication-Related Post-Discharge Acute Care Utilization” by Dr. Ronda Hughes and “An Investigation of Racial and Geospatial Disparities in the Utilization, Adherence, and Economic Cost to Targeted Therapies for Breast Cancer” by Dr. Swann Arp Adams.