Background: Group 2 innate lymphoid cells (ILC2s) play crucial roles in type 2 immunity and asthma development. While ILC2s are resident in mucosal tissues, they also circulate in peripheral blood. It remains controversial whether ILC2s are increased in the peripheral blood of patients with asthma.
View Article and Find Full Text PDFBackground: Thus far, no algorithms have been developed to automatically extract patients who meet Asthma Predictive Index (API) criteria from the Electronic health records (EHR) yet. Our objective is to develop and validate a natural language processing (NLP) algorithm to identify patients that meet API criteria.
Methods: This is a cross-sectional study nested in a birth cohort study in Olmsted County, MN.
Rationale: Difficulty of asthma ascertainment and its associated methodologic heterogeneity have created significant barriers to asthma care and research.
Objectives: We evaluated the validity of an existing natural language processing (NLP) algorithm for asthma criteria to enable an automated chart review using electronic medical records (EMRs).
Methods: The study was designed as a retrospective birth cohort study using a random sample of 500 subjects from the 1997-2007 Mayo Birth Cohort who were born at Mayo Clinic and enrolled in primary pediatric care at Mayo Clinic Rochester.