Workshop in Biostatistics
|DATE:||April 7, 2016|
|TIME:||1:30 - 3:00 pm|
|LOCATION:||Medical School Office Building, Rm x303|
|TITLE:||Research Discovery and Precision Practice with Unstructured Biomedical Data
Daniel L. Rubin, MD, MS
The explosion in electronically accessible biomedical data offers tremendous opportunities for scientific discovery that could lead to precision care. However, a major challenge is the fact the a substantial amount of the key data, images and texts that comprise key data about disease phenotype, are unstructured data objects. Our group has been developing methods to discover and extract key structured features from images and text and integrate them with other structured biomedical data to enable scientific discovery and decision support. Our vision is to enable leveraging the vast amounts of these data to realize “learning healthcare systems” particular for guiding cancer care through distributed computational paradigms.
Daniel Rubin, Hayit Greenspan, and James F Brinkley. Biomedical Imaging Informatics. (https://web.stanford.edu/group/rubinlab/pubs/Chapter9.pdf)