Abstract: Sickle cell disease (SCD) is a red blood cell disorder complicated by lifelong issues with pain. We used a novel mobile app with wearable sensor data to allow analysis using machine learning to better understand changes in pain, interventions, and sleep. We found important correlations between pain and physiologic measurements including sleep, therefore believe this technology will provide important insights into patients hospitalized for pain.
Learning Objective 1: Understand the difficulty in measuring subjective symptoms such as pain.
Learning Objective 2: Recognize objective data that has been associated with pain, such as heart rate, stress (galvanic skin response), and activity
Kalindi Narine, Duke University
Fan Yang, Wright State University
Tanvi Banerjee, Wright State University
Jude Jonassaint, University of Pittsburgh
Rita Masese, Duke University
Nirmish Shah (Presenter)