Yiye Zhang is an Assistant professor in the Division of Health Informatics, Faculty Director of the M.S. Program in Health Informatics at the Department of Population Health Sciences, Weill Cornell Medicine, Cornell University. She also has a secondary appointment in the Emergency Department at Weill Cornell Medicine.
As a health informaticist, Dr. Zhang has years of research experience in developing tools to analyze and visualize healthcare information including electronic health records. As a principal investigator, Dr. Zhang’s research has been funded by multiple federal agencies including the National Library of Medicine of National Institute of Health, Agency for Healthcare Research and Quality, and the U.S. Department of Transportation Tier 1 University Transportation Center.
Dr. Zhang received her Ph.D. degree in information systems and management at Carnegie Mellon University. She has a B.A. in mathematics from Washington University in St. Louis and an M.S. in biostatistics from Columbia University.
My research interests are "learning health systems", where data-driven approaches such as machine learning and data mining are applied in creating the next generation of healthcare information technology to better assist healthcare providers and patients in making decisions.
- Clinical Decision Support
- Machine Learning in Medicine
- Social Detriments of Health
- Chronic Disease, Emergency Medicine
Health Data Management
- Steel PAD, Bodnar D, Bonito M, Torres-Lavoro J, Eid DB, Jacobowitz A, Shemesh A, Tanouye R, Rumble P, DiCello D, Sharma R, Farmer B, Pomerantz S, Zhang Y. MyEDCare: Evaluation of a Smartphone-Based Emergency Department Discharge Process. Appl Clin Inform. 2021 Mar;12(2):362-371. doi: 10.1055/s-0041-1729165. Epub 2021 Apr 28. PMID: 33910262; PMCID: PMC8081590.
- Yiye Zhang, Mohammad Tayarani, Subhi J. Al'Aref, Ashley Beecy, Yifan Liu, Evan Sholle, Arindam RoyChoudhury, Kelly M. Axsom, Huaizhu Oliver Gao, Jyotishman Pathak, Jessica S. Ancker. Using electronic health records for population health sciences: a case study to evaluate the associations between changes in left ventricular ejection fraction and the built environment. Journal of the American Medical Informatics Association open, October 28, 2020.
- Yiye Zhang, Shuojia Wang, Alison Hermann, Rochelle Joly, Jyotishman Pathak. Development and validation of a machine learning algorithm for predicting the risk of postpartum depression among pregnant women. Journal of Affective Disorders, September 30, 2020.
Selected Awards and Honors
- First Place, Weill Cornell Medicine BioVenture eLab Biomedical Business Plan Challenge, 2019
- Walsh McDermott Scholar in Public Health, 2016-2019
- Best Paper Award, International Conference on Decision Support System Technology, 2016
- Top rated poster, Mayo Clinic Delivery Science Summit, 2015
- Honorable Mention, INFORMS Healthcare Poster Competition, 2015
Ph.D. (Information Systems Management), Carnegie-Mellon University, 2016
M.S. (Biostatistics), Columbia University, 2011
B.A. (Mathematics), Washington University in St. Louis, 2009