Seminar Description:Interpersonal and structural racial bias are leading explanations for the continuing racial disparities in birth outcomes but research to confirm the role of racism has been hampered by challenges […]

University of South Carolina Big Data Health Science Center (BDHSC) is seeking proposals for the conduct and uptake of pilot research projects focusing on the Big Data analytics in addressing critical issues […]

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.