DR-MIL: deep represented multiple instance learning distinguishes COVID-19 from community-acquired pneumonia in CT images

S Qi, C Xu, C Li, B Tian, S Xia, J Ren, L Yang… - Computer Methods and …, 2021 - Elsevier
Background and objective Given that the novel coronavirus disease 2019 (COVID-19) has
become a pandemic, a method to accurately distinguish COVID-19 from community …

A probabilistic approach to blood glucose prediction in type 1 diabetes under meal uncertainties

S Langarica, M Rodriguez-Fernandez… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Currently, most reliable and commercialized artificial pancreas systems for type 1 diabetes
are hybrid closed-loop systems, which require the user to announce every meal and its size …

Continuous glucose monitoring for automatic real-time assessment of eating events and nutrition: a scoping review

J Brummer, C Glasbrenner… - Frontiers in …, 2024 - frontiersin.org
Background Accurate dietary assessment remains a challenge, particularly in free-living
settings. Continuous glucose monitoring (CGM) shows promise in optimizing the …

Towards Personalized AI-Based Diabetes Therapy: A Review

S Campanella, G Paragliola… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Insulin pumps and other smart devices have recently made significant advancements in the
treatment of diabetes, a disorder that affects people all over the world. The development of …

DiaTrend: A dataset from advanced diabetes technology to enable development of novel analytic solutions

T Prioleau, A Bartolome, R Comi, C Stanger - Scientific Data, 2023 - nature.com
Objective digital data is scarce yet needed in many domains to enable research that can
transform the standard of healthcare. While data from consumer-grade wearables and …

Feasibility of early meal detection based on abdominal sound

K Kölle, AL Fougner, R Ellingsen… - IEEE journal of …, 2019 - ieeexplore.ieee.org
In classical approaches for an artificial pancreas, continuous glucose monitoring (CGM) is
the only measured variable used for insulin dosing and additional control functions. The …

Super–twisting-based meal detector for type 1 diabetes management: Improvement and assessment in a real-life scenario

S Faccioli, I Sala-Mira, JL Díez, A Facchinetti… - Computer Methods and …, 2022 - Elsevier
Background and objective Hybrid automated insulin delivery systems rely on carbohydrate
counting to improve postprandial control in type 1 diabetes. However, this is an extra burden …

[PDF][PDF] A Secure IoT-Cloud Based Healthcare System for Disease Classification Using Neural Network.

M Vedaraj, P Ezhumalai - Computer Systems Science & Engineering, 2022 - academia.edu
The integration of the Internet of Things (IoT) and cloud computing is the most popular
growing technology in the IT world. IoT integrated cloud computing technology can be used …

An lstm-based approach towards automated meal detection from continuous glucose monitoring in type 1 diabetes mellitus

M Athanasiou, K Zarkogianni… - 2021 IEEE 21st …, 2021 - ieeexplore.ieee.org
Technological advancements in glucose sensing, insulin pumps, and closed-loop glucose
control algorithms open new opportunities towards the realization of Artificial Pancreas (AP) …

Estimation and prediction of glucose appearance rate for use in a fully closed-loop dual-hormone intraperitoneal artificial pancreas

KD Benam, S Gros, AL Fougner - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Objective: A fully automated artificial pancreas requires a meal estimator and predictions of
blood glucose levels (BGL) to handle disturbances during meal times, all without relying on …