Enhanced Patient Care: The Intersection of AI, ML, and Data Master Management in Healthcare

Authors

  • Prof. Anita Nguyen Author

Abstract

This abstract explores the transformative potential of integrating artificial intelligence (AI), machine learning (ML), and data master management in healthcare, aiming to enhance patient care. The synergy of these technologies offers novel avenues for optimizing healthcare systems, improving decision-making processes, and ultimately elevating the overall quality of patient care. By harnessing AI and ML algorithms, healthcare providers can gain valuable insights from vast datasets, enabling personalized treatment plans, predictive analytics, and efficient resource allocation. Additionally, robust data master management ensures the integrity and accuracy of healthcare information, laying a foundation for effective AI and ML applications. This paper delves into the challenges, opportunities, and innovations at the intersection of AI, ML, and data master management, contributing to the ongoing discourse on advancing healthcare practices.

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Published

2024-02-11

Issue

Section

Articles

How to Cite

Enhanced Patient Care: The Intersection of AI, ML, and Data Master Management in Healthcare. (2024). International Journal of Machine Learning and Artificial Intelligence, 5(5), 1-8. https://jmlai.in/index.php/ijmlai/article/view/22

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