Automated extraction of sudden cardiac death risk factors in hypertrophic cardiomyopathy patients by natural language processing.

Journal: International journal of medical informatics
Published Date:

Abstract

BACKGROUND: The management of hypertrophic cardiomyopathy (HCM) patients requires the knowledge of risk factors associated with sudden cardiac death (SCD). SCD risk factors such as syncope and family history of SCD (FH-SCD) as well as family history of HCM (FH-HCM) are documented in electronic health records (EHRs) as clinical narratives. Automated extraction of risk factors from clinical narratives by natural language processing (NLP) may expedite management workflow of HCM patients. The aim of this study was to develop and deploy NLP algorithms for automated extraction of syncope, FH-SCD, and FH-HCM from clinical narratives.

Authors

  • Sungrim Moon
    Department of Artificial Intelligence & Informatics, Mayo Clinic, Rochester, MN, United States.
  • Sijia Liu
    These authors contributed equally to this study and Dr. Li is now working at IBM; Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA; Department of Computer Science and Engineering, University at Buffalo, Buffalo, NY, USA.
  • Christopher G Scott
    Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.
  • Sujith Samudrala
    Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
  • Mohamed M Abidian
    Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
  • Jeffrey B Geske
    Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
  • Peter A Noseworthy
    Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota.
  • Jane L Shellum
    Office of Information and Knowledge Management, Mayo Clinic, Rochester, MN.
  • Rajeev Chaudhry
    Office of Information and Knowledge Management, Mayo Clinic, Rochester, MN.
  • Steve R Ommen
    Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
  • Rick A Nishimura
    From Divisions of Cardiovascular Surgery (R.M.S., A.T., H.M.B., R.C.D., J.A.D.), Anesthesiology (W.M.), Cardiovascular Diseases (R.A.N., H.I.M., M.E.-S.), and Biomedical Statistics and Informatics (Z.L.), Mayo Clinic, Rochester, MN.
  • Hongfang Liu
    Department of Artificial Intelligence & Informatics, Mayo Clinic, Rochester, MN, United States.
  • Adelaide M Arruda-Olson
    Mayo Clinic Rochester, MN.