Artificial intelligence-based non-invasive bilirubin prediction for neonatal jaundice using 1D convolutional neural network

Artificial intelligence-based non-invasive bilirubin prediction for neonatal jaundice using 1D convolutional neural network

Abstract Neonatal jaundice, characterized by elevated bilirubin levels causing yellow discoloration of the skin and eyes in newborns, is a critical condition requiring accurate and timely diagnosis. This study proposes a novel approach using 1D Convolutional Neural Networks (1DCNN) for estimating bi...

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Bibliographic Details
Main Author: Fatemeh Makhloughi
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Neonatal jaundice
Bilirubin level prediction
Image processing
One dimensional convolutional neural network
Online Access:https://doi.org/10.1038/s41598-025-96100-9
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