Non-invasively accuracy enhanced blood glucose sensor using shallow dense neural networks with NIR monitoring and medical features
Sign Up to like & getrecommendations! Published in 2022 at "Scientific Reports"
DOI: 10.1038/s41598-022-05570-8
Abstract: Non-invasive and accurate method for continuous blood glucose monitoring, the self-testing of blood glucose is in quest for better diagnosis, control and the management of diabetes mellitus (DM). Therefore, this study reports a multiple photonic… read more here.
Keywords: accuracy; medical features; model; blood glucose ... See more keywords
Analysis of the Impact of Medical Features and Risk Prediction of Acute Kidney Injury for Critical Patients Using Temporal Electronic Health Record Data With Attention-Based Neural Network
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Medicine"
DOI: 10.3389/fmed.2021.658665
Abstract: Acute kidney injury (AKI) is one of the most severe consequences of kidney injury, and it will also cause or aggravate the complications by the fast decline of kidney excretory function. Accurate AKI prediction, including… read more here.
Keywords: kidney injury; aki case; impact medical; medical features ... See more keywords