Article
Scalability and Accuracy Assessment of Frequent Pattern Mining Algorithms Applied to Large-Scale Hospital Databases
2025-12-01
Abstract excerpt
Frequent pattern mining (FPM) has become an essential analytical technique in healthcare for discovering clinically relevant associations, predicting disease risks, and improving decision-making systems. As hospital databases continue to grow in size and complexity, evaluating the scalability and accuracy of FPM algorithms becomes increasingly important. This study provides a comparative assessment of three widely...
Topics
Open a Topic to create a Post that cites this publication.
Identifiers and source
- Literature Corpus work
- aefdf1e4-f33f-517e-bb1f-03b11cc900ca
- DOI
- 10.20944/preprints202512.0002.v1
