2005
DOI: 10.1111/j.1440-1746.2004.03493.x
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Using higher‐order crossings to distinguish liver regeneration indices in hepatectomized diabetic and non‐diabetic rats

Abstract: Our results suggest that HOC have the potential to linearly discriminate between experimentally induced diabetic and non-diabetic liver regeneration post-PH processes, based on two liver regeneration indices, capturing the delay seen in the liver regeneration process due to Alloxan diabetes, fostering their use as an efficient classification tool. In this way, HOC could be used as an advanced, easily implemented and user-friendly method to thoroughly analyze liver regeneration processes.

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Cited by 2 publications
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“…One of the methods of analysis found in the studies based on fuzzy logic was c-means, which permits grouping data to estimate each cluster center, the distance among data to the center, and the distance between the centers of two clusters (12) .…”
Section: Fuzzy Logic As Methodsmentioning
confidence: 99%
“…One of the methods of analysis found in the studies based on fuzzy logic was c-means, which permits grouping data to estimate each cluster center, the distance among data to the center, and the distance between the centers of two clusters (12) .…”
Section: Fuzzy Logic As Methodsmentioning
confidence: 99%