Machine Learning for Quality in Health Care- A Comprehensive Review

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

Biomedical Journal of Scientific & Technical Research, 2023, vol. 51, issue 4, 42925-42929

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].

Keywords: Journals on Medical Drug and Therapeutics; Journals on Emergency Medicine; Physical Medicine and Rehabilitation; Journals on Infectious Diseases Addiction Science and Clinical Pathology; Open Access Clinical and Medical Journal; Journals on Biomedical Science; List of Open Access Medical Journal; Journals on Biomedical Engineering; Open Access Medical Journal; Biomedical Science Articles; Journal of Scientific and Technical Research (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:abf:journl:v:51:y:2023:i:4:p:42925-42929

DOI: 10.26717/BJSTR.2023.51.008138

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