Novel Machine Learning Identifies 5 Asthma Phenotypes Using Cluster Analysis of Real-World Data.

Journal: The journal of allergy and clinical immunology. In practice
PMID:

Abstract

BACKGROUND: Asthma classification into different subphenotypes is important to guide personalized therapy and improve outcomes.

Authors

  • Chao-Ping Wu
    Respiratory Institute, Cleveland Clinic, Cleveland, OH.
  • Joelle Sleiman
    Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio.
  • Battoul Fakhry
    Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio.
  • Celine Chedraoui
    Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio.
  • Amy Attaway
    Respiratory Institute, Cleveland Clinic, Cleveland, Ohio; Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio.
  • Anirban Bhattacharyya
    Critical Care Medicine, Mayo Clinic in Florida, Jacksonville, Florida, USA.
  • Eugene R Bleecker
    Department of Medicine, Division of Pulmonary Medicine, Mayo Clinic, Scottsdale, Ariz.
  • Ahmet Erdemir
    Respiratory Institute, Cleveland Clinic, Cleveland, Ohio.
  • Bo Hu
    Department of Critical Care Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
  • Shravan Kethireddy
    Critical Care Medicine, Northeast Georgia Medical Center, Gainesville, GA, USA.
  • Deborah A Meyers
    Department of Medicine, Division of Pulmonary Medicine, Mayo Clinic, Scottsdale, Ariz.
  • Hooman H Rashidi
    Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania; Computational Pathology and AI Center of Excellence (CPACE), University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania. Electronic address: rashidihh@upmc.edu.
  • Joe G Zein
    Respiratory Institute, Cleveland Clinic, Cleveland, OH; Lerner Research Institute, Cleveland Clinic, Cleveland, OH. Electronic address: zeinj@ccf.org.