90% Accuracy for Photoplethysmography-Based Non-Invasive Blood Glucose Prediction by Deep Learning with Cohort Arrangement and Quarterly Measured HbA1c

DC 欄位	值	語言
dc.contributor	應用科學研究中心	-
dc.contributor.author	Chu, Justin	-
dc.contributor.author	Yang, Wen-Tse	-
dc.contributor.author	Lu, Wei-Ru	-
dc.contributor.author	Chang, Yao-Ting	-
dc.contributor.author	Hsieh, Tung-Han	-
dc.contributor.author	Yang, Fu-Liang	-
dc.date.accessioned	2023-03-16T01:45:51Z	-
dc.date.available	2023-03-16T01:45:51Z	-
dc.date.issued	2021-11	-
dc.identifier.issn	http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Drexel&SrcApp=hagerty_opac&KeyRecord=1424-8220&DestApp=JCR&RQ=IF_CAT_BOXPLOT	-
dc.identifier.uri	http://ir.sinica.edu.tw/handle/201000000A/84801	-
dc.description.sponsorship	應用科學研究中心	-
dc.language.iso	en	-
dc.relation.ispartof	Sensors 21(23), 7815	-
dc.title	90% Accuracy for Photoplethysmography-Based Non-Invasive Blood Glucose Prediction by Deep Learning with Cohort Arrangement and Quarterly Measured HbA1c	-
dc.type	journal article	-
dc.identifier.url	http://dx.doi.org/10.3390/s21237815	-
dc.description.note	已出版;[SCI];沒有審查制度	-
item.languageiso639-1	en	-
item.fulltext	no fulltext	-
item.grantfulltext	none	-
item.openairecristype	http://purl.org/coar/resource_type/c_6501	-
item.openairetype	journal article	-
item.cerifentitytype	Publications	-
crisitem.author.dept	Research Center for Applied Sciences	-
crisitem.author.dept	Research Center for Applied Sciences	-
crisitem.author.parentorg	Division of Mathematics and Physical Sciences	-
crisitem.author.parentorg	Division of Mathematics and Physical Sciences	-
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