Application of machine learning algorithms for accurate determination of bilirubin level on in vitro engineered tissue phantom images

10.1038/s41598-024-56319-4

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Bibliographic Details
Main Authors:	Yuan, Y, Huang, J, Yu, J, Tan, JKS, Chng, KZ, Lee, J, Kim, S
Other Authors:	BIOMEDICAL ENGINEERING
Format:	Article
Published:	Springer Science and Business Media LLC 2024
Subjects:	Infant, Newborn Humans Kernicterus Bilirubin Jaundice, Neonatal Algorithms Smartphone Hyperbilirubinemia, Neonatal
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/247608
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-247608
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spelling	sg-nus-scholar.10635-2476082024-03-27T07:07:38Z Application of machine learning algorithms for accurate determination of bilirubin level on in vitro engineered tissue phantom images Yuan, Y Huang, J Yu, J Tan, JKS Chng, KZ Lee, J Kim, S BIOMEDICAL ENGINEERING CHEMISTRY OFFICE OF THE DEPUTY PRESIDENT(RES&TECH) PAEDIATRICS Infant, Newborn Humans Kernicterus Bilirubin Jaundice, Neonatal Algorithms Smartphone Hyperbilirubinemia, Neonatal 10.1038/s41598-024-56319-4 Scientific Reports 14 1 5952- 2024-03-27T06:24:06Z 2024-03-27T06:24:06Z 2024-12-01 2024-03-27T03:23:08Z Article Yuan, Y, Huang, J, Yu, J, Tan, JKS, Chng, KZ, Lee, J, Kim, S (2024-12-01). Application of machine learning algorithms for accurate determination of bilirubin level on in vitro engineered tissue phantom images. Scientific Reports 14 (1) : 5952-. ScholarBank@NUS Repository. https://doi.org/10.1038/s41598-024-56319-4 2045-2322 https://scholarbank.nus.edu.sg/handle/10635/247608 Springer Science and Business Media LLC Elements
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Infant, Newborn Humans Kernicterus Bilirubin Jaundice, Neonatal Algorithms Smartphone Hyperbilirubinemia, Neonatal
spellingShingle	Infant, Newborn Humans Kernicterus Bilirubin Jaundice, Neonatal Algorithms Smartphone Hyperbilirubinemia, Neonatal Yuan, Y Huang, J Yu, J Tan, JKS Chng, KZ Lee, J Kim, S Application of machine learning algorithms for accurate determination of bilirubin level on in vitro engineered tissue phantom images
description	10.1038/s41598-024-56319-4
author2	BIOMEDICAL ENGINEERING
author_facet	BIOMEDICAL ENGINEERING Yuan, Y Huang, J Yu, J Tan, JKS Chng, KZ Lee, J Kim, S
format	Article
author	Yuan, Y Huang, J Yu, J Tan, JKS Chng, KZ Lee, J Kim, S
author_sort	Yuan, Y
title	Application of machine learning algorithms for accurate determination of bilirubin level on in vitro engineered tissue phantom images
title_short	Application of machine learning algorithms for accurate determination of bilirubin level on in vitro engineered tissue phantom images
title_full	Application of machine learning algorithms for accurate determination of bilirubin level on in vitro engineered tissue phantom images
title_fullStr	Application of machine learning algorithms for accurate determination of bilirubin level on in vitro engineered tissue phantom images
title_full_unstemmed	Application of machine learning algorithms for accurate determination of bilirubin level on in vitro engineered tissue phantom images
title_sort	application of machine learning algorithms for accurate determination of bilirubin level on in vitro engineered tissue phantom images
publisher	Springer Science and Business Media LLC
publishDate	2024
url	https://scholarbank.nus.edu.sg/handle/10635/247608
_version_	1795302063524020224

Application of machine learning algorithms for accurate determination of bilirubin level on in vitro engineered tissue phantom images

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