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BiliBin: An Intelligent Mobile Phone-based Platform to Monitor Newborn Jaundice.

Authors :
Zarepour, Eisa
Mohammadi, Mohammad Reza
Zakeri-Nasrabadi, Morteza
Aein, Sara
Sangsari, Razieh
Taheri, Leila
Akbari, Mojtaba
Zabihallahpour, Ali
Source :
Iranian Journal of Electrical & Electronic Engineering; Sep2024, Vol. 20 Issue 3, p1-13, 13p
Publication Year :
2024

Abstract

Using mobile phones for medical applications are proliferating due to highquality embedded sensors. Jaundice, a yellow discoloration of the skin caused by excess bilirubin, is a prevalent physiological problem in newborns. While moderate amounts of bilirubin are safe in healthy newborns, extreme levels are fatal and cause devastating and irreversible brain damage. Accurate tests to measure jaundice require a blood draw or dedicated clinical devices facing difficulty where clinical technology is unavailable. This paper presents a smartphone-based screening tool to detect neonatal hyperbilirubinemia caused by the high bilirubin production rate. A machine learning regression model is trained on a pretty large dataset of images, including 446 samples, taken from newborns' sternum skin in four medical centers in Iran. The learned model is then used to estimate the level of bilirubin. Experimental results show a mean absolute error of 1.807 mg/dl and a correlation of 0.701 between predicted bilirubin by the proposed method and the TSB values as ground truth. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17352827
Volume :
20
Issue :
3
Database :
Complementary Index
Journal :
Iranian Journal of Electrical & Electronic Engineering
Publication Type :
Academic Journal
Accession number :
180669244