HGMLA: A multi-task learning model for assessment of HbA1c and GA levels using short-term CGM sensor data
B Han, Y Wang, X Sun, H Li, J Lu, J Zhou… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
Simultaneously assessing glycated hemoglobin (HbA1c) and glycated albumin (GA) levels
provides information on relatively long-term glycemic control over different lengths of time …
provides information on relatively long-term glycemic control over different lengths of time …
Prediction of factors for patients with hypertension and dyslipidemia using multilayer feedforward neural networks and ordered logistic regression analysis: a robust …
WMAW Ahmad, MNB Adnan, N Yusop… - Makara Journal of …, 2023 - scholarhub.ui.ac.id
Background: Hypertension is characterized by abnormally high arterial blood pressure and
is a public health problem with a high prevalence of 20%–30% worldwide. This research …
is a public health problem with a high prevalence of 20%–30% worldwide. This research …
[HTML][HTML] The Evaluation of Ordinal Regression Model's Performance Through the Implementation of Multilayer Feed-Forward Neural Network: A Case Study of …
Background Hypertension, or high blood pressure, is a common medical condition that
affects a significant portion of the global population. It is a major risk factor for cardiovascular …
affects a significant portion of the global population. It is a major risk factor for cardiovascular …