[HTML][HTML] A comparison of machine learning techniques for the detection of type-2 diabetes mellitus: experiences from bangladesh
Diabetes is a chronic disease caused by a persistently high blood sugar level, causing other
chronic diseases, including cardiovascular, kidney, eye, and nerve damage. Prompt …
chronic diseases, including cardiovascular, kidney, eye, and nerve damage. Prompt …
[HTML][HTML] The internet of medical things in healthcare management: a review
The widespread adoption of Internet of Things (IoT) technologies across various domains
has given rise to the Internet of Medical Things (IoMT), which has significantly enhanced the …
has given rise to the Internet of Medical Things (IoMT), which has significantly enhanced the …
Breast cancer diagnosis and management guided by data augmentation, utilizing an integrated framework of SHAP and random augmentation
Recent research indicates that early detection of breast cancer (BC) is critical in achieving
favorable treatment outcomes and reducing the mortality rate associated with it. With the …
favorable treatment outcomes and reducing the mortality rate associated with it. With the …
[HTML][HTML] Optimizing diabetes classification with a machine learning-based framework
X Feng, Y Cai, R Xin - BMC bioinformatics, 2023 - Springer
Background Diabetes is a metabolic disorder usually caused by insufficient secretion of
insulin from the pancreas or insensitivity of cells to insulin, resulting in long-term elevated …
insulin from the pancreas or insensitivity of cells to insulin, resulting in long-term elevated …
[HTML][HTML] ResfEANet: ResNet-fused external attention network for tuberculosis diagnosis using chest X-ray images
Pulmonary tuberculosis (TB), the most prevalent form of TB, remains a major global public
health concern, contributing to more than a million deaths each year. The accurate and …
health concern, contributing to more than a million deaths each year. The accurate and …
[HTML][HTML] Predictive model and risk analysis for peripheral vascular disease in type 2 diabetes mellitus patients using machine learning and shapley additive …
L Liu, B Bi, L Cao, M Gui, F Ju - Frontiers in Endocrinology, 2024 - frontiersin.org
Background Peripheral vascular disease (PVD) is a common complication in patients with
type 2 diabetes mellitus (T2DM). Early detection or prediction the risk of developing PVD is …
type 2 diabetes mellitus (T2DM). Early detection or prediction the risk of developing PVD is …
[HTML][HTML] An examination of the hybrid meta-heuristic machine learning algorithms for early diagnosis of type II diabetes using big data feature selection
People are increasingly getting type II diabetes mellitus (T2DM) due to unhealthy food
styles, decreased outdoor activities caused by the COVID-19 pandemic, and unawareness …
styles, decreased outdoor activities caused by the COVID-19 pandemic, and unawareness …
[HTML][HTML] Identifying diagnostic indicators for type 2 diabetes mellitus from physical examination using interpretable machine learning approach
X Lv, J Luo, W Huang, H Guo, X Bai, P Yan… - Frontiers in …, 2024 - frontiersin.org
Background Identification of patients at risk for type 2 diabetes mellitus (T2DM) can not only
prevent complications and reduce suffering but also ease the health care burden. While …
prevent complications and reduce suffering but also ease the health care burden. While …
Exploring Nutritional Influence on Blood Glucose Forecasting for Type 1 Diabetes Using Explainable AI
G Annuzzi, A Apicella, P Arpaia… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Type 1 diabetes mellitus (T1DM) is characterized by insulin deficiency and blood sugar
control issues. The state-of-the-art solution is the artificial pancreas (AP), which integrates …
control issues. The state-of-the-art solution is the artificial pancreas (AP), which integrates …
[HTML][HTML] A predictive approach for myocardial infarction risk assessment using machine learning and big clinical data
I Boudali, S Chebaane, Y Zitouni - Healthcare Analytics, 2024 - Elsevier
Myocardial infarction is one of the most common cardiovascular diseases in emergency
departments. Early prevention of this dangerous condition significantly impacts public health …
departments. Early prevention of this dangerous condition significantly impacts public health …