Exploratory integration of near-infrared spectroscopy with clinical data: a machine learning approach for HCV detection in serum samples

Exploratory integration of near-infrared spectroscopy with clinical data: a machine learning approach for HCV detection in serum samples

BackgroundManaging chronic viral infections like Hepatitis C virus (HCV) often requires expensive healthcare resources and highly qualified personnel, making efficient diagnostic methods essential. Despite remarkable therapeutic advancements for the treatment of HCV, several challenges remain, such...

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Main Authors: Eloy Pérez-Gómez, José Gómez, Jennifer Gonzalo, Sergio Salgüero, Daniel Riado, María Luisa Casas, María Luisa Gutiérrez, Elena Jaime, Enrique Pérez-Martínez, Rafael García-Carretero, Javier Ramos, Conrado Fernández-Rodríguez, Myriam Catalá, Luca Martino, Óscar Barquero-Pérez
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Medicine
Subjects:
NIRS
HCV
Hepatitis C
machine learning
permutation feature importance
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1596476/full
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