PCA Kernel Based Extreme Learning Machine Model for Detection of NS1 from Salivary SERS Spectra

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PCA Kernel Based Extreme Learning Machine Model for Detection of NS1 from Salivary SERS Spectra

Use of NS1 as a biomarker in saliva has led to the non-invasive and early detection of Flaviviridae related diseases. Saliva is preferred as medium of detection because of its advantages such as non-invasive, painless and easy to collect. Work here intends to compare the performance of KELM classifi...

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Bibliographic Details
Published in:	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Main Author:	Othman N.H.; Lee K.Y.; Mohd Radzol A.R.; Mansor W.; Zulkimi N.A.Z.M.
Format:	Conference paper
Language:	English
Published:	Springer Verlag 2019
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064567961&doi=10.1007%2f978-3-030-14802-7_31&partnerID=40&md5=ef253db1708c103010e92a304f58cd7f

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