Article Versions Notes

Chu J, Yang W-T, Lu W-R, Chang Y-T, Hsieh T-H, Yang F-L. 90% Accuracy for Photoplethysmography-Based Non-Invasive Blood Glucose Prediction by Deep Learning with Cohort Arrangement and Quarterly Measured HbA1c. Sensors. 2021; 21(23):7815. https://doi.org/10.3390/s21237815

Chu, Justin, Wen-Tse Yang, Wei-Ru Lu, Yao-Ting Chang, Tung-Han Hsieh, and Fu-Liang Yang. 2021. "90% Accuracy for Photoplethysmography-Based Non-Invasive Blood Glucose Prediction by Deep Learning with Cohort Arrangement and Quarterly Measured HbA1c" Sensors 21, no. 23: 7815. https://doi.org/10.3390/s21237815

Chu, J., Yang, W.-T., Lu, W.-R., Chang, Y.-T., Hsieh, T.-H., & Yang, F.-L. (2021). 90% Accuracy for Photoplethysmography-Based Non-Invasive Blood Glucose Prediction by Deep Learning with Cohort Arrangement and Quarterly Measured HbA1c. Sensors, 21(23), 7815. https://doi.org/10.3390/s21237815