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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...

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Literature Corpus work
aefdf1e4-f33f-517e-bb1f-03b11cc900ca
DOI
10.20944/preprints202512.0002.v1
Open publication

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Scalability and Accuracy Assessment of Frequent Pattern Mining Algorithms Applied to Large-Scale Hospital DatabasesDOI 10.20944/preprints202512.0002.v1
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