Unsupervised subjects classification using insulin and glucose data for insulin resistance assessment

In this paper, the ?-means clustering algorithm is employed to perform an unsupervised classification of subjects based on unidimensional observations (HOMA-IR and the Matsuda indexes separately) and multidimensional observations (insulin and glucose samples obtained from the oral glucose tolerance...

• 1. autor: Wong De Balzan, Sara (author)
• Format: article
• Wydane: 2015
• Dostęp online: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962783931&doi=10.1109%2fSTSIVA.2015.7330444&partnerID=40&md5=99fb81f9bcf7f7759af9821e7f6faa0c; http://dspace.ucuenca.edu.ec/handle/123456789/29209