Natural Language Processing to Identify Infants Aged 90 Days and Younger With Fevers Prior to Presentation.

ABSTRACT:

Objective

Natural language processing (NLP) can enhance research studies for febrile infants by more comprehensive cohort identification. We aimed to refine and validate an NLP algorithm to identify and extract quantified temperature measurements from infants aged 90 days and younger with fevers at home or clinics prior to emergency department (ED) visits.

Patients and methods

We conducted a cross-sectional study using electronic health record (EHR) data from 17 EDs in 10 health systems that are part of the Pediatric Emergency Care Applied Research Network Registry. All visits between January 1, 2012, and May 31, 2023, for infants aged 90 days and younger were eligible, excluding those with trauma-related diagnoses. We iteratively refined a prespecified rules-based NLP algor

SUBMITTER: Aronson PL 

PROVIDER: S-EPMC12163744 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature