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Updated: Oct 27, 2025
A Rapid and Chemical-free Hemoglobin Assay with Photothermal Angular Light Scattering
Published on: December 7, 2016
Rapid determination of hemoglobin concentration by a novel ensemble extreme learning machine method combined with
Kaiyi Wang1, Xihui Bian2, Meng Zheng3
1State 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.
Abstract:
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.
