[HTML][HTML] Recent applications of machine learning and deep learning models in the prediction, diagnosis, and management of diabetes: a comprehensive review

E Afsaneh, A Sharifdini, H Ghazzaghi… - Diabetology & Metabolic …, 2022 - Springer
Diabetes as a metabolic illness can be characterized by increased amounts of blood
glucose. This abnormal increase can lead to critical detriment to the other organs such as …

The effect of Berberine on metabolic profiles in type 2 diabetic patients: A systematic review and meta‐analysis of randomized controlled trials

J Guo, H Chen, X Zhang, W Lou… - Oxidative medicine …, 2021 - Wiley Online Library
Objective. Rhizoma Coptidis is an herb that has been frequently used in many traditional
formulas for the treatment of diabetic mellitus (DM) over thousands of years. Berberine, the …

[HTML][HTML] Sodium-glucose cotransporter 2 (SGLT2) inhibitors vs. dipeptidyl peptidase-4 (DPP4) inhibitors for new-onset dementia: a propensity score-matched …

JV Mui, J Zhou, S Lee, KSK Leung, TTL Lee… - Frontiers in …, 2021 - frontiersin.org
Introduction: The effects of sodium-glucose cotransporter 2 inhibitors (SGLT2I) and
dipeptidyl peptidase-4 inhibitors (DPP4I) on new-onset cognitive dysfunction in type 2 …

[HTML][HTML] Pioglitazone inhibits diabetes-induced atrial mitochondrial oxidative stress and improves mitochondrial biogenesis, dynamics, and function through the PPAR …

Z Zhang, X Zhang, L Meng, M Gong, J Li… - Frontiers in …, 2021 - frontiersin.org
Background: Oxidative stress contributes to adverse atrial remodeling in diabetes mellitus.
This remodeling can be prevented by the PPAR-γ agonist pioglitazone via its antioxidant …

Identifying disease and diagnosis in females using machine learning

S Pramanik, SK Bandyopadhyay - Encyclopedia of Data Science …, 2023 - igi-global.com
Here, the researchers are trying to prepare a model for identifying whether a patient is
diabetic or not. The Pima Indian Dataset has been used in this case study. There are two …

Risk of new-onset prostate cancer for metformin versus sulfonylurea use in type 2 diabetes mellitus: a propensity score–matched study

YHA Lee, J Zhou, JMH Hui, X Liu, TTL Lee… - Journal of the National …, 2022 - jnccn.org
Background: The aim of this study was to compare the risks of new-onset prostate cancer
between metformin and sulfonylurea users with type 2 diabetes mellitus (T2DM). Methods …

[HTML][HTML] Type 2 cytokines promote angiogenesis in ischemic muscle via endothelial IL-4Rα signaling

H Li, C He, R Zhu, FM Chen, L Wang, FP Leung… - Cell Reports, 2023 - cell.com
Peripheral arterial disease (PAD) is one of the leading causes of cardiovascular morbidity
and mortality worldwide, yet current trials on therapeutic angiogenesis remain suboptimal …

Artificial intelligence based prediction models for individuals at risk of multiple diabetic complications: A systematic review of the literature

L Gosak, K Martinović, M Lorber… - Journal of nursing …, 2022 - Wiley Online Library
Aim The aim of this review is to examine the effectiveness of artificial intelligence in
predicting multimorbid diabetes‐related complications. Background In diabetic patients …

Development of a predictive risk model for all-cause mortality in patients with diabetes in Hong Kong

S Lee, J Zhou, KSK Leung, WKK Wu… - BMJ Open Diabetes …, 2021 - drc.bmj.com
Introduction Patients with diabetes mellitus are risk of premature death. In this study, we
developed a machine learning-driven predictive risk model for all-cause mortality among …

Risk stratification of cardiac arrhythmias and sudden cardiac death in type 2 diabetes mellitus patients receiving insulin therapy: A population‐based cohort study

S Lee, K Jeevaratnam, T Liu, D Chang… - Clinical …, 2021 - Wiley Online Library
Introduction Metabolic abnormalities may exacerbate the risk of adverse outcomes in
patients with type 2 diabetes mellitus. The present study aims to assess the predictive value …