Rapid determination of hemoglobin concentration by a novel ensemble extreme learning machine method combined with near-infrared spectroscopy.

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Abstrakt

Tytuł:: Rapid determination of hemoglobin concentration by a novel ensemble extreme learning machine method combined with near-infrared spectroscopy.
Autorzy:: Wang K; State Key Laboratory of Separation Membranes and Membrane Processes, Tiangong University, Tianjin 300387, PR China; Tianjin Key Laboratory of Green Chemical Process Engineering, School of Chemical Engineering and Technology, Tiangong University, Tianjin 300387, PR China.
Bian X; State Key Laboratory of Separation Membranes and Membrane Processes, Tiangong University, Tianjin 300387, PR China; Tianjin Key Laboratory of Green Chemical Process Engineering, School of Chemical Engineering and Technology, Tiangong University, Tianjin 300387, PR China; Key Lab of Process Analysis and Control of Sichuan Universities, Yibin University, 644000, PR China. Electronic address: .
Zheng M; Tianjin Key Laboratory of Green Chemical Process Engineering, School of Chemical Engineering and Technology, Tiangong University, Tianjin 300387, PR China.
Liu P; State Key Laboratory of Separation Membranes and Membrane Processes, Tiangong University, Tianjin 300387, PR China; Tianjin Key Laboratory of Green Chemical Process Engineering, School of Chemical Engineering and Technology, Tiangong University, Tianjin 300387, PR China.
Lin L; State Key Laboratory of Separation Membranes and Membrane Processes, Tiangong University, Tianjin 300387, PR China.
Tan X; State Key Laboratory of Separation Membranes and Membrane Processes, Tiangong University, Tianjin 300387, PR China; Tianjin Key Laboratory of Green Chemical Process Engineering, School of Chemical Engineering and Technology, Tiangong University, Tianjin 300387, PR China.
Źródło:: Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy [Spectrochim Acta A Mol Biomol Spectrosc] 2021 Dec 15; Vol. 263, pp. 120138. Date of Electronic Publication: 2021 Jul 09.
Typ publikacji:: Journal Article
Język:: English
Imprint Name(s):: Publication: : Amsterdam : Elsevier
Original Publication: [Kidlington, Oxford, U.K. ; Tarrytown, NY] : Pergamon, c1994-
MeSH Terms:: Algorithms*
Spectroscopy, Near-Infrared*
Hemoglobins ; Monte Carlo Method
Contributed Indexing:: Keywords: Extreme learning machine; Hemoglobin concentration; Least absolute shrinkage and selection operator; Monte Carlo sampling; Multivariate calibration
Substance Nomenclature:: 0 (Hemoglobins)
Entry Date(s):: Date Created: 20210725 Date Completed: 20210906 Latest Revision: 20210906
Update Code:: 20240105
DOI:: 10.1016/j.saa.2021.120138
PMID:: 34304011
: Czasopismo naukowe

A novel ensemble extreme learning machine (ELM) approach that combines Monte Carlo (MC) sampling and least absolute shrinkage and selection operator (LASSO), named as MC-LASSO-ELM, is proposed to determine hemoglobin concentration of blood. It employs MC sampling to randomly select samples from the training set and LASSO further to choose variables from selected samples to establish plenty of ELM sub-models. The final prediction is obtained by combining the predictions of these sub-models. Combined with near-infrared spectroscopy, MC-LASSO-ELM is used to determine the hemoglobin concentration of blood. Compared with ELM, MC-ELM and LASSO-ELM, MC-LASSO-ELM can obtain the best stability and highest accuracy.
Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2021 Elsevier B.V. All rights reserved.)

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