Expert artificial intelligence-based natural language processing characterises childhood asthma.

Journal: BMJ open respiratory research
Published Date: Feb 1, 2020

Abstract

INTRODUCTION: The lack of effective, consistent, reproducible and efficient asthma ascertainment methods results in inconsistent asthma cohorts and study results for clinical trials or other studies. We aimed to assess whether application of expert artificial intelligence (AI)-based natural language processing (NLP) algorithms for two existing asthma criteria to electronic health records of a paediatric population systematically identifies childhood asthma and its subgroups with distinctive characteristics.

Authors

  • Hee Yun Seol
    Community Pediatrics and Adolescent Medicine, Mayo Clinic, Rochester, Minnesota, USA.
  • Mary C Rolfes
    2 Asthma Epidemiology Research Unit.
  • Wi Chung
    Community Pediatrics and Adolescent Medicine, Mayo Clinic, Rochester, Minnesota, USA.
  • Sunghwan Sohn
    Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, USA.
  • Euijung Ryu
    Department of Health Sciences Research, Mayo Clinic, Rochester, MN, 55905, USA.
  • Miguel A Park
    6 Division of Allergic Diseases, Mayo Clinic, Mayo Clinic, Rochester, Minnesota.
  • Hirohito Kita
    6 Division of Allergic Diseases, Mayo Clinic, Mayo Clinic, Rochester, Minnesota.
  • Junya Ono
    Research and Development Unit, Shino-Test Corporation, Sagamihara, Japan.
  • Ivana Croghan
    Department of Medicine Research, Mayo Clinic, Rochester, MN, USA.
  • Sebastian M Armasu
    Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, United States.
  • Jose A Castro-Rodriguez
    Division of Pediatrics, School of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile.
  • Jill D Weston
    Community Pediatrics and Adolescent Medicine, Mayo Clinic, Rochester, Minnesota, USA.
  • Hongfang Liu
    Department of Artificial Intelligence & Informatics, Mayo Clinic, Rochester, MN, United States.
  • Young Juhn
    Department of Pediatrics, Mayo Clinic, Rochester, MN, United States.

Keywords

External Resources

Popular Topics
Recent Journals