Decoding machine learning in nursing research: A scoping review of effective algorithms.

Journal: Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing
PMID: 39294553

Abstract

INTRODUCTION: The rapid evolution of artificial intelligence (AI) technology has revolutionized healthcare, particularly through the integration of AI into health information systems. This transformation has significantly impacted the roles of nurses and nurse practitioners, prompting extensive research to assess the effectiveness of AI-integrated systems. This scoping review focuses on machine learning (ML) used in nursing, specifically investigating ML algorithms, model evaluation methods, areas of focus related to nursing, and the most effective ML algorithms.

Authors

  • Jeeyae Choi
    School of Nursing, University of North Carolina Wilmington, NC, USA.
  • Hanjoo Lee
    Joint Biomedical Engineering Department, School of Medicine, University of North Carolina Chapel Hill, Chapel Hill, North Carolina, USA.
  • Yeounsoo Kim-Godwin
    School of Nursing, College of Health and Human Services, University of North Carolina Wilmington, Wilmington, North Carolina, USA.

Keywords

External Resources

Popular Topics
Recent Journals