Diabetes mellitus has been an increasing concern owing to its high morbidity, and the
average age of individual affected by of individual affected by this disease has now …

Abstract In Genome-Wide Association Studies (GWAS), detection of T2D-related variants in
genome sequences and accurate modeling of the complex structure of the relevant gene are …

Diabetic Retinopathy (DR) is a widespread ocular condition and a significant contributor to
global blindness. Timely identification and precise diagnosis of DR are essential for …

Diabetes mellitus is a chronic degenerative disease caused by a lack of insulin production in
the pancreas or the body's ability to use insulin less effectively. According to a report by the …

Diabetes mellitus stands as a pervasive health concern globally, demanding proactive
strategies for early detection and personalised management. This research pioneers a …

The progression of biotechnological and health science fields has instigated a substantial
proliferation of data, encompassing high-throughput genetic information and extensive …

Diabetes mellitus is a long-term metabolic disorder marked by sustained high levels of
glucose in the blood. It is brought on by a confluence of genetic and environmental variables …

This paper presents a systematic literature review on the use of machine learning in
diagnosing Diabetes Mellitus (DM). The study examines the application of machine learning …

In recent years, diabetes mellitus has increased its prevalence in the global landscape, and
currently, due to COVID-19, people with diabetes mellitus are the most likely to develop a …

Gestational diabetes is one of the diseases that many pregnant women suffer from. In this
modern era, machine learning and data mining have a significant impact on world of health …