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Issue Date | Title | Author(s) | Relation | scopus | WOS | Fulltext/Archive link | |
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1 | 2021 | 90% Accuracy for Photoplethysmography-Based Non-Invasive Blood Glucose Prediction by Deep Learning with Cohort Arrangement and Quarterly Measured HbA1c | Chu, Justin; Yang, Wen-Tse; Lu, Wei-Ru; Chang, Yao-Ting; Hsieh, Tung-Han ; Yang, Fu-Liang | Sensors 21(23), 7815 |