Fall 2011 Course Descriptions

COMP 150-03 Artificial Intelligence in Health Informatics

K. Small, B. Wallace
MW 1:30-2:45, Anderson Hall 206
G+ Block

Health informatics is an emerging cross-disciplinary field concerned with computational methods for retrieving, organizing and making sense of biomedical information. As the amount of biomedical data continues to increases exponentially, both in the form of personal medical information (e.g., electronic medical records and genomes) and published research (e.g., clinical studies), so too does the need to process this information efficiently. In this course, we provide an overview of this nascent field, with an emphasis on methods from the fields of machine learning and natural language processing. Students will first read a diverse collection of papers that will provide a broad overview of health informatics. They will then propose and execute an original project that either implements and extends some of the ideas explored in the readings, or prototypes a new method for a particular problem in health informatics.

Prerequisite: COMP 15 (students will be expected to have programming experience), COMP 160 strongly recommended, COMP 131 and/or COMP 135 helpful, but not required.


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