Yue
Liang,
MS
Master of Science in Biostatistics
University of Minnesota, Institute for Health Informatics
Current PhD student in Data Science and Health Informatics devoted to Machine Learning + Causal inference-oriented innovation.
Research focus: Machine learning application in Health-Medical practice.
Presenting at the Nexus Summit:
Electronic Health Record (EHR) data is abundant and accessible, possessing real-world information discoverable for the study of populations and improved patient care delivery. Despite the capacity of big data science to handle voluminous data and information and extensive analytics, EHR data is a largely untapped resource due to the variations and lack of standardization in implementation, data coding, and data storage and retrieval. This seminar describes a study utilizing EHR data to discover and describe primary care teams and determine their impact on patient outcomes. Further, it…