Biomedical informatics is the application of the science of information to problems of biomedical interest, dealing with knowledge representation and the storage, retrieval, and optimal use of data for problem solving and decision making. This course covers infrastructures and algorithms developed specifically to generate insights required at the point of care, including dedicated healthcare surveillance routines and in health research studies. Using numerous case studies, the course will outline how biomedical data generated for primary purposes is integrated for reuse with artificial intelligence techniques. Students will do data analytics projects using biomedical data sets and develop algorithms targeted for clinical decision support.
Prerequisites: CS 3553, DA 4403 or CS 4795. |
