Project Results: The team began with exploratory data analysis that illustrated median times of appearance and frequency of specific ICD9 codes, with an eye toward understanding the relation between these statistics and pancreatic cancer diagnosis. They then trained a topic model which predicted past pancreatic cancer diagnosis with high accuracy (93 percent AUC) from ICD9 codes. Finally, they used the topic model outcomes to identify a pool of high-risk patients for potential future study.
Joseph Lucas, PhD
Project Manager: Tyler Massaro