Predicting the risk of asthma attacks in children, adolescents and adults: protocol for a machine learning algorithm derived from a primary care-based retrospective cohort.

Journal: BMJ open
Published Date: Jul 23, 2020

Abstract

INTRODUCTION: Most asthma attacks and subsequent deaths are potentially preventable. We aim to develop a prognostic tool for identifying patients at high risk of asthma attacks in primary care by leveraging advances in machine learning.

Authors

  • Zain Hussain
    Usher Institute, Edinburgh Medical School, The University of Edinburgh, Edinburgh, UK.
  • Syed Ahmar Shah
    Asthma UK Center for Applied Research, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom.
  • Mome Mukherjee
    Usher Institute, Edinburgh Medical School, The University of Edinburgh, Edinburgh, UK.
  • Aziz Sheikh
    Asthma UK Center for Applied Research, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom.

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