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Machine learning approach for prediction of hematic parameters in hemodialysis patients
2019
IEEE Journal of Translational Engineering in Health and Medicine
Objective: This paper shows the application of machine learning techniques to predict hematic parameters using blood visible spectra during ex-vivo treatments. Methods: A spectroscopic setup was prepared for acquisition of blood absorbance spectrum and tested in an operational environment. This setup is non invasive and can be applied during dialysis sessions. A support vector machine and an artificial neural network, trained with a dataset of spectra, have been implemented for the prediction
doi:10.1109/jtehm.2019.2938951
pmid:32309060
pmcid:PMC6788674
fatcat:5cpax57ekfbd3hx5tkwhmaq5qe