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...

Full description

Saved in:
Bibliographic Details
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
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2025.1596476/full

Similar Items