Xingyu (Mark) Zhang, PhD

Collaborative research interests involve (1) health outcomes with an emphasis on study design and statistical analysis; (2) electronic health record data mining; (3) predictive and diagnostic modeling in healthcare; (4) emergency health care and health service; (5) infection surveillance modeling; (6) healthcare and health service in transplantation; (7) machine learning and natural language processing.  Dr. Zhang has experience in clinical research (including clinical trials and various types of observational studies), and health services and health outcomes research in several areas, including surgery, cardiology, infectious diseases, emergency medicine, and neurology.  The methods he applied include multi-level analysis, time series analysis, infection early warning modeling, medical imaging analysis, feature extraction, pattern classification, neural networks, support vector machine, natural language processing, deep learning, survival analysis, meta-analysis, etc.