Association Rules in Healthcare: A Tool for Informed Decision-Making

Authors

  • M. Kranthi Author
  • Phanidapu Sailaja Rani Author
  • Dr. Gandhavalli Sambasiva Rao Author

Keywords:

Data mining, association rules, medical databases, apriori algorithm

Abstract

in the ever-evolving landscape of healthcare, the ability to extract meaningful insights from vast and complex datasets is crucial for informed decision-making. This abstract provides a glimpse into the significance of association rules in healthcare, showcasing how data mining techniques are transforming the industry. By unveiling hidden patterns and relationships within medical data, association rules empower healthcare professionals to make more informed decisions, improve patient outcomes, and optimize resource allocation.

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Published

12-11-2022

How to Cite

Association Rules in Healthcare: A Tool for Informed Decision-Making. (2022). International Journal of Information Technology and Computer Engineering, 10(4), 40-46. https://ijitce.org/index.php/ijitce/article/view/321