Sean D. Mooney1,2,3
1Department of Biomedical Informatics and Medical Education, University of Washington, 850 Republican St, Seattle, WA, 98109
2Institute for Medical Data Science, University of Washington, 850 Republican St, Seattle, WA, 98109
3UW Medicine, 1001 4th Ave, Seattle, WA, 98154
sdmooney [at] uw.edu
Abstract
It is an opportune time to be engaged in the research and application of informatics in biomedicine. The increased use of electronic and personal health records and personal mobile devices is creating many opportunities at research academic medical centers. At the University of Washington, I believe we are laying the groundwork to build the informatics and information technology infrastructure to support research on personalized approaches and the use of data science to enable them. We are beginning to see the early successes of these efforts and I will describe some of them. But there are many challenges, for example, we continue to generate massive amounts of data that is largely uncurated. This includes images, genomes and other -omics datasets, personal monitors, electronic health records, etc. In this presentation, I will discuss our support of data for research use within UW Medicine, our efforts to build new machine learning and data science approaches using clinical datasets, and our efforts to develop new machine learning methods and to implement them so that we can study the impacts of their use.
Keywords: bioinformatics, precision medicine, research computing, data mining, healthcare, genetics
