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Machine Learning for Quality in Health Care- A Comprehensive Review

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  • Pokkuluri Kiran Sree

    (Professor & Head, Department of C.S.E Shri Vishnu Engineering College for Women(A), India)

Abstract

Machine learning (ML) has emerged as a powerful tool in the healthcare sector, revolutionizing various aspects of patient care, including diagnostics, treatment, monitoring, and overall quality improvement. This comprehensive review aims to explore the applications of ML techniques in improving quality of care in healthcare settings. We discuss the challenges and opportunities associated with the implementation of ML in healthcare, present an overview of the different ML algorithms and methodologies employed, and provide a critical analysis of the impact of ML on healthcare quality. The paper also addresses ethical and privacy concerns associated with ML in healthcare and highlights future research directions in this domain [1].

Suggested Citation

  • Pokkuluri Kiran Sree, 2023. "Machine Learning for Quality in Health Care- A Comprehensive Review," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 51(4), pages 42925-42929, July.
    • Handle: RePEc:abf:journl:v:51:y:2023:i:4:p:42925-42929
    DOI: 10.26717/BJSTR.2023.51.008138
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