Machine learning for initial insulin estimation in hospitalized patients
Objective The study sought to determine whether machine learning can predict initial
inpatient total daily dose (TDD) of insulin from electronic health records more accurately …
inpatient total daily dose (TDD) of insulin from electronic health records more accurately …
Blood glucose prediction with deep neural networks using weighted decision level fusion
Abstract Background and Objective: Diabetes mellitus is a chronic disease that requires
regular monitoring of blood glucose in the circulatory system. If the amount of glucose in the …
regular monitoring of blood glucose in the circulatory system. If the amount of glucose in the …
Exploring nutritional influence on blood glucose forecasting for Type 1 diabetes using explainable AI
G Annuzzi, A Apicella, P Arpaia… - IEEE journal of …, 2023 - ieeexplore.ieee.org
Type 1 diabetes mellitus (T1DM) is characterized by insulin deficiency and blood sugar
control issues. The state-of-the-art solution is the artificial pancreas (AP), which integrates …
control issues. The state-of-the-art solution is the artificial pancreas (AP), which integrates …
[HTML][HTML] After-meal blood glucose level prediction using an absorption model for neural network training
RAH Karim, I Vassányi, I Kósa - Computers in biology and medicine, 2020 - Elsevier
Abstract Background Diabetes Mellitus outpatients would benefit from a lifestyle support tool
that delivers reliable short term Blood Glucose Level (BGL) predictions. Aim To develop a …
that delivers reliable short term Blood Glucose Level (BGL) predictions. Aim To develop a …
Generation of individualized synthetic data for augmentation of the type 1 diabetes data sets using deep learning models
In this paper, we present a methodology based on generative adversarial network
architecture to generate synthetic data sets with the intention of augmenting continuous …
architecture to generate synthetic data sets with the intention of augmenting continuous …
A survey on neural network hardware accelerators
T Mohaidat, K Khalil - IEEE Transactions on Artificial …, 2024 - ieeexplore.ieee.org
Artificial intelligence hardware accelerator is an emerging research for several applications
and domains. The hardware accelerator's direction is to provide high computational speed …
and domains. The hardware accelerator's direction is to provide high computational speed …
[PDF][PDF] Text classification using long short-term memory with glove
In the classification of traditional algorithms, problems of high features dimension and data
sparseness often occur when classifying text. Classifying text with traditional machine …
sparseness often occur when classifying text. Classifying text with traditional machine …
Recent trends and techniques of blood glucose level prediction for diabetes control
Diabetes, a metabolic disorder disease, can cause short-term acute or even long-term
chronic complications in a patient's body. In 2021, 10.5% of the world's adult population had …
chronic complications in a patient's body. In 2021, 10.5% of the world's adult population had …
A personalized blood glucose level prediction model with a fine-tuning strategy: A proof-of-concept study
Background The accurate prediction of blood glucose (BG) level is still a challenge for
diabetes management. This is due to various factors such as diet, personal physiological …
diabetes management. This is due to various factors such as diet, personal physiological …
Prediction of glucose concentration in children with type 1 diabetes using neural networks: An edge computing application
F D'Antoni, L Petrosino, F Sgarro, A Pagano, L Vollero… - Bioengineering, 2022 - mdpi.com
Background: Type 1 Diabetes Mellitus (T1D) is an autoimmune disease that can cause
serious complications that can be avoided by preventing the glycemic levels from exceeding …
serious complications that can be avoided by preventing the glycemic levels from exceeding …