Lina Sulieman is a Ph.D. candidate at Biomedical Informatics in the School of Medicine at Vanderbilt University. Her research focuses are applying temporal mining and machine learning to build prediction modeling to identify the patients’ risks, and text mining using deep learning.
She received her master degree from Biomedical Informatics at Vanderbilt university, and a bachelor of science in computer engineering from Yarmouk University.
Sulieman L , Fabbri D, Wang F, Hu J, Malin BA. “Predicting Negative Events: Using Post-discharge Data to Detect High-Risk Patients.” AMIA Annual Symposium Proceedings 2016 (November 11, 2016)
Wilson RJ, Sulieman LM, VanHouten JP, Halpern JL, Schwartz HS, Devin CJ, Holt GE. “Cost-Utility of Osteoarticular Allograft vs. Endoprosthetic Reconstruction for Primary Bone Sarcoma of the Knee: A Markov Analysis.” Journal of Surgical Oncology