DNA sequence classification for diabetes mellitus using NuSVC and XGBoost: A comparative

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Bibliografske podrobnosti
izdano v:	PLoS One vol. 20, no. 7 (Jul 2025), p. e0328253
Glavni avtor:	Salloum, Said A
Drugi avtorji:	Khaled Mohammad Alomari, Salloum, Ayham
Izdano:	Public Library of Science
Teme:	Language Diabetes Public health Deep learning Sequence analysis Performance evaluation Classification Genetic markers Regression analysis Sampling techniques Clinical medicine Disease Hyperglycemia Feature selection Data analysis Genomes Machine learning Blood levels Genomics Nucleotide sequence Learning algorithms Accuracy Datasets Gene sequencing Neural networks Health risk assessment Support vector machines Deoxyribonucleic acid > DNA Glucose Diabetes mellitus Genomic analysis Global health Natural language processing Biochemical tests Social
Online dostop:	Citation/Abstract Full Text Full Text - PDF
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