A hybrid approach for forecasting peak expiratory flow rate in asthma patients using combined linear regression and random forest model

• Shayma Alkobaisi,

  Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Software, Supervision, Visualization, Writing – review & editing

  Affiliation College of Information Technology, United Arab Emirates University, Al Ain, United Arab Emirates

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• Wan D. Bae,

  Roles Data curation, Investigation, Project administration, Supervision, Visualization, Writing – review & editing

  Affiliation Department of Computer Science, Seattle University, Seattle, Washington, United States of America

  https://orcid.org/0000-0002-4611-5546

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• Muhammad Farhan Safdar ,

  Roles Conceptualization, Formal analysis, Methodology, Software, Validation, Visualization, Writing – original draft

  * E-mail: mfarhan166@gmail.com

  Affiliation College of Information Technology, United Arab Emirates University, Al Ain, United Arab Emirates

  https://orcid.org/0000-0003-4237-7976

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• Najah Abed Abu Ali,

  Roles Formal analysis, Investigation, Visualization, Writing – review & editing

  Affiliation College of Information Technology, United Arab Emirates University, Al Ain, United Arab Emirates

  https://orcid.org/0000-0002-9777-9609

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• Sungroul Kim,

  Roles Data curation, Writing – review & editing

  Affiliation Department of ICT Environmental Health System, Graduate School, Soonchunhyang University, Asan, South Korea

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• Choon-Sik Park,

  Roles Data curation, Visualization

  Affiliation Department of Internal Medicine, Soonchunhyang Bucheon Hospital, Bucheon-si, South Korea

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• Robert Marek Nowak

  Roles Resources, Visualization, Writing – review & editing

  Affiliation Faculty of Electronics and Information Technology, Warsaw University of Technology, Warsaw, Poland

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