Classification of Chronic Kidney Disease Patients via k-important Neighbors in High Dimensional Metabolomics Dataset
Background: Chronic kidney disease (CKD), characterized by progressive loss of renal function, is becoming a growing problem in the general population. New analytical technologies such as “omics”-based approaches, including metabolomics, provide a useful platform for biomarker discovery and improvem...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Kerman University of Medical Sciences
2019-05-01
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Series: | Journal of Kerman University of Medical Sciences |
Subjects: | |
Online Access: | https://jkmu.kmu.ac.ir/article_89501_c8a72792051ecc279653033c790bbde7.pdf |