Electronic Health Records-based identification of newly diagnosed Crohn's Disease cases.

ABSTRACT:

Background

Early diagnosis and treatment of Crohn's Disease are associated with decreased risk of surgery and complications. However, diagnostic delay is frequently seen in clinical practice. To better understand Crohn's Disease risk factors and disease indicators, we identified, described, and predicted incident Crohn's Disease patients based on the Electronic Health Record data of the Mount Sinai Health System.

Methods

We developed two phenotyping algorithms based on structured Electronic Health Record data (i.e., coded diagnosis, medication prescription, and healthcare utilization), and a more simple and advanced approach of information extraction from clinical notes, including data between 2011 and 2023. We conducted an ablation study for the classification task using di

SUBMITTER: Ibing S 

PROVIDER: S-EPMC12067941 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature