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Tae-ho Kwon on Muck Rack

Tae-ho Kwon

Verified
United States
As seen in: The Hankyoreh, MDPI
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Articles

Design and Validation of a Monte Carlo Method for the Implementation of Noninvasive Wearable Devices for HbA1c Estimation Considering the Skin Effect

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By Tae-ho Kwon Verified, Mrinmoy Sarker Turja, Ki-Doo Kim, Shifat Hossain
| MDPI
1. Introduction Diabetes is a disease in which there is an abnormality in the secretion or function of insulin, which is necessary for controlling blood glucose levels in the body. The glycated hemoglobin (HbA1c) test is used to determine how much hemoglobin in red blood cells is glycated and reflects changes in blood glucose over the past 3 months according to the average lifespan of red blood cells.
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EMD-Based Noninvasive Blood Glucose Estimation from PPG Signals Using Machine Learning Algorithms

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By Shama Satter, Mrinmoy Sarker Turja, Tae-ho Kwon Verified, Ki-Doo Kim
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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A Comparative Analysis of Various Machine Learning Algorithms to Improve the Accuracy of HbA1c Estimation Using Wrist PPG Data

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By Shama Satter, Tae-ho Kwon Verified, Ki-Doo Kim
| MDPI
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