Machine Learning-Driven D-Glucose Prediction Using a Novel Biosensor for Non-Invasive Diabetes Management

Developing reliable noninvasive diagnostic and monitoring systems for diabetes remains a significant challenge, especially in the e-healthcare domain, due to computational inefficiencies and limited predictive accuracy in current approaches. The current study integrates machine learning with a molec...

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Egile Nagusiak:	Pardis Sadeghi, Shahriar Noroozizadeh, Rania Alshawabkeh, Nian Xiang Sun
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2025-03-01
Saila:	Biosensors
Gaiak:	diabetes D-glucose CNNs RNNs GANs SMOTE
Sarrera elektronikoa:	https://www.mdpi.com/2079-6374/15/3/152
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