Defining the Age of Young Ischemic Stroke Using Data-Driven Approaches.

ABSTRACT: Introduction: The cut-point for defining the age of young ischemic stroke (IS) is clinically and epidemiologically important, yet it is arbitrary and differs across studies. In this study, we leveraged electronic health records (EHRs) and data science techniques to estimate an optimal cut-point for defining the age of young IS. Methods: Patient-level EHRs were extracted from 13 hospitals in Pennsylvania, and used in two parallel approaches. The first approach included ICD9/10, from IS patients to group comorbidities, and computed similarity scores between every patient pair. We determined the optimal age of young IS by analyzing the trend of patient similarity with respect to their clinical profile for different ages of index IS. The second approach used the IS cohort and con

SUBMITTER: Abedi V 

PROVIDER: S-EPMC10095415 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature