Computer Science
7 years ago

Revolutionizing medical text clustering for Evidence Based Medicine with NSGA-II-clus!

Semi-supervised Clustering of Medical Text.
Pracheta Sahoo, Asif Ekbal, Sriparna Saha, Diego Mollá, Kaushik Nandan

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Semi-supervised clustering is a method that helps organize medical texts more effectively. By using a small set of labeled data, this technique can create clusters tailored to the medical field. A new approach called NSGA-II-clus, based on evolutionary algorithms, was used in this study. When applied to grouping medical publications for Evidence Based Medicine, it showed better results compared to other clustering methods.