Results 41 to 50 of about 1,261,146 (237)
HealthEdge: A Machine Learning-Based Smart Healthcare Framework for Prediction of Type 2 Diabetes in an Integrated IoT, Edge, and Cloud Computing System [PDF]
arXiv, 2023 Diabetes Mellitus has no permanent cure to date and is one of the leading causes of death globally. The alarming increase in diabetes calls for the need to take precautionary measures to avoid/predict the occurrence of diabetes. This paper proposes HealthEdge, a machine learning-based smart healthcare framework for type 2 diabetes prediction in an ...
arxiv
Hand functions in type 1 and type 2 diabetes mellitus [PDF]
Srpski Arhiv za Celokupno Lekarstvo, 2017 Introduction/Objective. Hand functions have an enormous impact on activities of daily living in patients with diabetes mellitus (DM), such as self-care, administering insulin injections, and preparing and eating meals.
Akpinar Pinar +3 more
doaj +1 more source
Type 1 diabetes mellitus-common cases
Indian Journal of Endocrinology and Metabolism, 2015 Tight glycemic control in type 1 diabetes mellitus patients is associated with the risk of hypoglycemia. Diabetic patients are forced to change their lifestyle to adjust to the disease condition and survive it. The best way to manage diabetes would be to
Surender Kumar
doaj +1 more source
Endocrinology, Diabetes & Metabolism, 2022 Introduction Americans with diabetes are clinically vulnerable to worse COVID‐19 outcomes; thus, insight into how to prevent infection is imperative. Using longitudinal, prospective data from the real‐world iNPHORM study, we identify the intrinsic and ...
Alexandria Ratzki‐Leewing +3 more
doaj +1 more source
Journal of Ideas in Health, 2021 Background: Prolonged inpatient care requirements and time constraints of research and researchers lead to the non-reporting of the treatment outcome of certain COVID-19 infected diabetes patients in published manuscripts. This study aims to quantify its
Sumanta Saha, Sujata Saha
doaj +1 more source
The Challenge of Type 1 Diabetes Mellitus [PDF]
ILAR Journal, 2004 Diabetes mellitus is a heterogeneous group of diseases characterized by high blood glucose levels due to defects in insulin secretion, insulin action, or both. With the number of cases expected to increase rapidly in the years to come, diabetes is a growing health challenge worldwide.
H. J. Schwartz +2 more
openaire +3 more sources
Large Sample Properties of Entropy Balancing Estimators of Average Causal Effects [PDF]
arXiv, 2022 Weighting methods are used in observational studies to adjust for covariate imbalances between treatment and control groups. Entropy balancing (EB) is an alternative to inverse probability weighting with an estimated propensity score. The EB weights are constructed to satisfy balance constraints and optimized towards stability. We describe large sample
arxiv
Quasi-Model-Based Control of Type 1 Diabetes Mellitus
Journal of Electrical and Computer Engineering, 2011 Glucose-insulin models appeared in the literature are varying in complexity. Hence, their use in control theory is not trivial. The paper presents an optimal controller design framework to investigate the type 1 diabetes from control theory point of view.
András György +5 more
doaj +1 more source
Biomedicines, 2023 Background: The examination of the uterine arteries using Doppler in the first trimester of pregnancy serves as a valuable tool for evaluating the uteroplacental circulation.
Christos Chatzakis +8 more
doaj +1 more source
A case study of glucose levels during sleep using fast function on scalar regression inference [PDF]
arXiv, 2022 Continuous glucose monitors (CGMs) are increasingly used to measure blood glucose levels and provide information about the treatment and management of diabetes. Our motivating study contains CGM data during sleep for 174 study participants with type II diabetes mellitus measured at a 5-minute frequency for an average of 10 nights.
arxiv