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- W4386902849 abstract "Jaundice occurs due to an imbalance in the levels of bilirubin in the body. Various invasive and non-invasive methods are used to identify the bilirubin level. However, the existing approaches are time-consuming, costly, require additional setup, and some are invasive. To address these issues, this paper proposes a smart jaundice diagnosis method. The system utilizes a smartphone camera to capture eye images and automatically extract the sclera region. It performs a color quantization process to determine the bilirubin level from the sclera. If the bilirubin level >3 mg/dL, the person is classified as hyperbilirubine-mic. The model achieved R <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sup> = 0.956 with a bias of 0.43 mg/dL and a sensitivity of 92.85% for 102 participants. The model works with different lighting conditions and devices, demonstrating robustness and independence. To make it available and affordable in remote areas for continuous monitoring, the model is converted into a mobile application." @default.
- W4386902849 created "2023-09-21" @default.
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- W4386902849 date "2023-01-01" @default.
- W4386902849 modified "2023-10-02" @default.
- W4386902849 title "jScan: Smartphone-assisted Bilirubin Quantification and Jaundice Screening" @default.
- W4386902849 doi "https://doi.org/10.1109/jsen.2023.3315452" @default.
- W4386902849 hasPublicationYear "2023" @default.
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