DSAN Spring Speaker Series: Dr. Ipek Ensari скачать в хорошем качестве

DSAN Spring Speaker Series: Dr. Ipek Ensari

Ipek Ensari is an Assistant Professor in the Windreich Department of Artificial Intelligence and Human Health at the Icahn School of Medicine and the Hasso Plattner Institute for Digital Health at Mount Sinai. She investigates mobile health (mHealth) and machine learning methods for complex patient-generated data toward improving chronic disease characterization and patient self-management. Her team’s research is grounded in female reproductive disorders with heterogeneous symptomology (e.g., endometriosis, adenomyosis, pelvic pain disorders) and populations at increased risk for health disparities (e.g., sexual and gender minorities). To this end, she integrates natural language processing techniques for mining data from electronic health records (EHR), and mobile self-tracking and wearable data to augment EHRs to better capture patient profiles and improve clinical decision-making. She is currently leading an NIH-funded study developing patient outcome measures through robust, flexible methods that can extract meaningful insights from such data while leveraging their unique features.