Machine learning in healthcare citizen science: A scoping review.

Journal: International journal of medical informatics
PMID: 39740357

Abstract

OBJECTIVES: This scoping review aims to clarify the definition and trajectory of citizen-led scientific research (so-called citizen science) within the healthcare domain, examine the degree of integration of machine learning (ML) and the participation levels of citizen scientists in health-related projects.

Authors

  • Ranga Baminiwatte
    Biomedical Informatics Center, Department of Public Health Sciences, Medical University of South Carolina (MUSC), Charleston, SC 29425, USA.
  • Blessing Torsu
    Biomedical Informatics Center, Department of Public Health Sciences, Medical University of South Carolina (MUSC), Charleston, SC 29425, USA.
  • Dmitry Scherbakov
    Biomedical Informatics Center, Department of Public Health Sciences, Medical University of South Carolina (MUSC), Charleston, SC 29403, United States.
  • Abolfazl Mollalo
    Department of Geography, University of Florida, Gainesville, FL, USA. Electronic address: abolfazl@ufl.edu.
  • Jihad S Obeid
    Biomedical Informatics Center, Medical University of South Carolina, Charleston, SC 29425, United States.
  • Alexander V Alekseyenko
    Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, 29425, USA.
  • Leslie A Lenert
    Biomedical Informatics Center, Medical University of South Carolina, Charleston, SC 29425, United States.

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