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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM26769

A STUDY ON MACHINE LEARNING IN ENHANCING CLINICAL DECISION SUPPORT SYSTEMS

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM26769

Volume:

7 |

11 |

Nov 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

DCKG

Dr C K Gomathy

SRB

S R Bathrinathan

SKS

Shiva Koushik Sripada

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Abstract

In recent years, the integration of machine learning into clinical decision support systems has revolutionized healthcare. This groundbreaking technology has empowered healthcare professionals by enhancing their ability to make more accurate, timely, and personalized decisions for patients. Through the power of machine learning, healthcare providers can now tap into vast amounts of patient data to improve diagnoses, treatment recommendations, and overall patient care. This transformation not only saves lives but also contributes to a more efficient and patient-centered healthcare system.

KEYWORDS

Clinical decision support systems Healthcare Patient data Evidence-based recommendations Patient-centered healthcare system

Cite This Article

Dr C K Gomathy, S R Bathrinathan, Shiva Koushik Sripada, "A STUDY ON MACHINE LEARNING IN ENHANCING CLINICAL DECISION SUPPORT SYSTEMS," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 11, Nov 2023. https://doi.org/10.55041/IJSREM26769

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Publication Date

11/18/2023

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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