LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

AUTOMATED IDENTIFICATION OF SUDDEN DEATH RISK PHENOTYPES FROM ELECTRONIC HEALTH RECORDS OF PATIENTS WITH HYPERTROPHIC CARDIOMYOPATHY

Photo by bruno_nascimento from unsplash

Hypertrophic cardiomyopathy (HCM) patients are at risk for sudden cardiac death (SCD). The study aim was to build natural language processing (NLP) systems for automated identification of HCM-SCD risk phenotypes… Click to show full abstract

Hypertrophic cardiomyopathy (HCM) patients are at risk for sudden cardiac death (SCD). The study aim was to build natural language processing (NLP) systems for automated identification of HCM-SCD risk phenotypes from electronic health records (EHRs). EHRs of randomly selected HCM patients (n=200)

Keywords: phenotypes electronic; electronic health; hypertrophic cardiomyopathy; automated identification; health records; risk phenotypes

Journal Title: Journal of the American College of Cardiology
Year Published: 2018

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.