IE Colloquium: The Role of Big Data Analytics in Evidence-based Medicine

Dr. Guodong Liu, assistant professor of public health sciences at the Penn State College of Medicine, will be the speaker.

There has been a tremendous advance in evidence-based medicine since the last decade or so, greatly facilitated by the rapid increase of computational power, as well as the availability of a variety of big data, including genomic/proteomic data, as well as the Electronic Medical Records (EHRs), medical administrative and claims databases. During this talk, Dr. Liu will discuss three applications of big data analytics in studies on examining: (1) the risk of visits to emergency departments among adolescents with Autism Spectrum Disorder (ASD); (2) long-term health outcomes among children with Neonatal Abstinence Syndrome (NAS); and (3) Statin’s role in triggering the onset of Parkinson’s disease.

About the speaker

Guodong Liu, Ph.D., is an assistant professor of public health sciences in the Health Services and Behavioral Research Division, Department of Public Health Science, College of Medicine, Penn State. Dr. Liu is also a core faculty member with the Center for Applied Studies in Health Economics (CASHE). Dr. Liu is a computer scientist and bioinformatician with extensive research expertise in data mining and knowledge discovery using large electronic medical records (EMRs) and large administrative claims databases. Dr. Liu was also a biomedical informatics trainee at the National Library of Medicine (NLM). As a data scientist specialized in big data analytics, Dr. Liu is interested in data modeling and knowledge discovery, prototyping and simulation, epidemiology, bioinformatics and biomedical informatics, statistical computing, health services research, autism spectrum disorders (ASD), Alzheimer’s disease and Parkinson’s disease. Dr. Liu received his B.S. in electrical engineering from Beijing University of Aeronautics and Astronautics in China; his M.S. in applied mathematics from the University of North Carolina at Wilmington; and his M.S. and Ph.D. in computer science, from the University of North Carolina at Chapel Hill.