Results 41 to 50 of about 1,762,573 (214)
, 2010 U heeft bij mevrouw Ten Wolde het bloedsuikergehalte bepaald. Dat is nog steeds wat aan de hoge kant (13 mmol/l). Zelf maakt ze zich er niet zo druk over, want ze heeft helemaal geen klachten. Het zal dus wel meevallen met die suiker, zegt ze.
S.G. van Gunst, V.G. Pigmans
openaire +4 more sources
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
Saxagliptin and cardiovascular outcomes in patients with type 2 diabetes mellitus.
New England Journal of Medicine, 2013 BACKGROUND The cardiovascular safety and efficacy of many current antihyperglycemic agents, including saxagliptin, a dipeptidyl peptidase 4 (DPP-4) inhibitor, are unclear.
B. Scirica +17 more
semanticscholar +1 more source
Journal of Diabetes Investigation, 2020 Aims/Introduction Low birthweight is reportedly associated with type 2 diabetes mellitus; however, this association has not been confirmed in the Japanese population, and whether high birthweight is associated with type 2 diabetes mellitus is ...
Maki Yokoyama +10 more
doaj +1 more source
Machine Learning Approaches for Type 2 Diabetes Prediction and Care Management [PDF]
arXiv, 2021 Prediction of diabetes and its various complications has been studied in a number of settings, but a comprehensive overview of problem setting for diabetes prediction and care management has not been addressed in the literature. In this document we seek to remedy this omission in literature with an encompassing overview of diabetes complication ...
arxiv
A Narrative Review on Sarcopenia in Type 2 Diabetes Mellitus: Prevalence and Associated Factors
Nutrients, 2021 Type 2 diabetes mellitus (T2DM) represents a major health burden for the elderly population, affecting approximately 25% of people over the age of 65 years.
A. Izzo +3 more
semanticscholar +1 more source
Genetics and Pathophysiology of Maturity-onset Diabetes of the Young (MODY): A Review of Current Trends [PDF]
arXiv, 2021 Single gene mutations have been implicated in the pathogenesis of a form of diabetes mellitus (DM) known as the maturity-onset diabetes of the young (MODY). However, there are diverse opinions on the suspect genes and pathophysiology, necessitating the need to review and communicate the genes to raise public awareness.
arxiv
Profiling Of Volatiles In Tissues Of Salacia Reticulata Wight. With Anti-Diabetic Potential Using GC-MS And Molecular Docking [PDF]
arXiv, 2023 Type 2 diabetes mellitus is a global pandemic, it is a chronic, progressive and an incompletely understood metabolic condition. The disease is characterized by higher levels of sugar in blood caused either due to insufficient production of insulin or because of insulin resistance.
arxiv
Dyslipidemia in Type 2 Diabetes Mellitus
Journal of Islamic International Medical College, 2021 Objective: To determine the correlation of plasma glucose levels with lipid profile in type 2 Diabetes Mellitus (T2DM). Study Design: Case control study.
Mehnaz Khattak, Asif Nawaz, Jawwad Anis Khan, Umme Farwa
doaj
Factors Associated with Preventive Practices of Type 2 Diabetes Mellitus
Jurnal Promkes: The Indonesian Journal of Health Promotion and Health Education, 2021 Background: Diabetes mellitus is a non-communicable disease that can be prevented by controlling the risk factors. Diabetes mellitus prevention practice is important so that prevention of type 2 diabetes mellitus can be carried out effectively. There are
Nissa Kusariana +2 more
doaj +1 more source