http://ir.sinica.edu.tw/handle/201000000A/84801
題名: | 90% Accuracy for Photoplethysmography-Based Non-Invasive Blood Glucose Prediction by Deep Learning with Cohort Arrangement and Quarterly Measured HbA1c | 作者: | Chu, Justin Yang, Wen-Tse Lu, Wei-Ru Chang, Yao-Ting Hsieh, Tung-Han Yang, Fu-Liang |
公開日期: | 2021-11 | 關聯: | Sensors 21(23), 7815 | URI: | http://ir.sinica.edu.tw/handle/201000000A/84801 | ISSN: | http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Drexel&SrcApp=hagerty_opac&KeyRecord=1424-8220&DestApp=JCR&RQ=IF_CAT_BOXPLOT | URL: | http://dx.doi.org/10.3390/s21237815 |
顯示於: | 應用科學研究中心 |
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