Results 51 to 60 of about 47,945 (166)
A rising incidence of acute kidney injury (AKI) may lead to longer hospitalization stays and even greater mortality. Diabetes is an independent risk factor for AKI and using hypoglycemic agents has been a fundamental glycemic control in diabetics ...
Dan-ning Guo+2 more
doaj +1 more source
Fact-based Agent modeling for Multi-Agent Reinforcement Learning [PDF]
In multi-agent systems, agents need to interact and collaborate with other agents in environments. Agent modeling is crucial to facilitate agent interactions and make adaptive cooperation strategies. However, it is challenging for agents to model the beliefs, behaviors, and intentions of other agents in non-stationary environment where all agent ...
arxiv
Prediction of Daytime Hypoglycemic Events Using Continuous Glucose Monitoring Data and Classification Technique [PDF]
Daytime hypoglycemia should be accurately predicted to achieve normoglycemia and to avoid disastrous situations. Hypoglycemia, an abnormally low blood glucose level, is divided into daytime hypoglycemia and nocturnal hypoglycemia. Many studies of hypoglycemia prevention deal with nocturnal hypoglycemia. In this paper, we propose new predictor variables
arxiv
Oral antidiabetic for the metabolic control in gestational diabetes
The search for alternative therapies to insulin for the treatment of gestational diabetes goes back to studies from the decade of 1970 and 1980. The oral hypoglycemic agents have emerged as an effective alternative for metabolic control of gestational ...
Yoany Marín Tápanes+1 more
doaj
In-silico Risk Analysis of Personalized Artificial Pancreas Controllers via Rare-event Simulation [PDF]
Modern treatments for Type 1 diabetes (T1D) use devices known as artificial pancreata (APs), which combine an insulin pump with a continuous glucose monitor (CGM) operating in a closed-loop manner to control blood glucose levels. In practice, poor performance of APs (frequent hyper- or hypoglycemic events) is common enough at a population level that ...
arxiv
Comparison of Epilepsy Induced by Ischemic Hypoxic Brain Injury and Hypoglycemic Brain Injury using Multilevel Fusion of Data Features [PDF]
The study aims to investigate the similarities and differences in the brain damage caused by Hypoxia-Ischemia (HI), Hypoglycemia, and Epilepsy. Hypoglycemia poses a significant challenge in improving glycemic regulation for insulin-treated patients, while HI brain disease in neonates is associated with low oxygen levels.
arxiv +1 more source
Cognition and drug adherence to oral hypoglycemic and antihypertensive agents in older adults
Hamzah Bakouni,1,2 Lia Gentil,3 Helen-Maria Vasiliadis1–2,41Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Quebec, Canada; 2Centre de recherche Charles-Le Moyne – Saguenay–Lac-Saint-Jean sur les ...
Bakouni H, Gentil L, Vasiliadis HM
doaj
Cooperative Heterogeneous Deep Reinforcement Learning [PDF]
Numerous deep reinforcement learning agents have been proposed, and each of them has its strengths and flaws. In this work, we present a Cooperative Heterogeneous Deep Reinforcement Learning (CHDRL) framework that can learn a policy by integrating the advantages of heterogeneous agents.
arxiv
According to international consensus, metformin is acknowledged as a first-line therapeutic agent for type 2 diabetes mellitus (T2DM). However, in most cases this treatment eventually requires intensification by supplementation with other hypoglycemic ...
Gagik Radikovich Galstyan
doaj +1 more source
Clinical Report of a New Hypoglycemic Agent
ConclusionsDBI by mouth produces an improvement in glucose tolerance in patients with severe as well as mild diabetes mellitus. It appears to be an active potent hypoglycemic agent, effective in patients with mild, moderate and severe diabetes mellitus. The results herein presented lend encouragement to wider experimental and clinical investigations.
George T. Mouratoff+2 more
openaire +3 more sources