Characterization of patients with advanced chronic pancreatitis using natural language processing of radiology reports.

ABSTRACT:

Study aim

To develop and apply a natural language processing algorithm for characterization of patients diagnosed with chronic pancreatitis in a diverse integrated U.S. healthcare system.

Methods

Retrospective cohort study including patients initially diagnosed with chronic pancreatitis (CP) within a regional integrated healthcare system between January 1, 2006 and December 31, 2015. Imaging reports from these patients were extracted from the electronic medical record system and split into training, validation and implementation datasets. A natural language processing (NLP) algorithm was first developed through the training dataset to identify specific features (atrophy, calcification, pseudocyst, cyst and main duct dilatation) from free-text radiology reports. The validatio

SUBMITTER: Xie F 

PROVIDER: S-EPMC7437899 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature