Objective: High prevalence of diabetes mellitus (DM) along with the poor health outcomes
and the escalated costs of treatment and care poses the need to focus on prevention, early …

Diabetes is one of the top priorities in medical science and health care management, and an
abundance of data and information is available on these patients. Whether data stem from …

With the development of data mining, machine learning offers opportunities to improve
discrimination by analyzing complex interactions among massive variables. To test the …

To determine the annual incidence and clinically relevant risk factors for foot ulceration in a
large cohort study of diabetic foot ulcer (DFU) patients and diabetes mellitus (DM) patients in …

Introduction Diabetic neuropathy (DN) is a prevalent complication of Type 2 Diabetes
Mellitus (T2DM) with a major impact on the health of the affected patient. We hypothesized …

To determine incidence and clinically relevant risk factors for diabetic amputation in a large
cohort study of diabetic foot ulceration patients in China, we investigated a total of 669 …

People with diabetes require lifelong access to healthcare services to delay the onset of
complications. Their disease management processes generate great volumes of data across …

Purpose: We aimed to establish and validate a risk assessment system that combines
demographic and clinical variables to predict the 3-year risk of incident diabetes in Chinese …

Abstract Background Patients with Type 2 diabetes mellitus (T2D) are at risk for micro-and
macrovascular complications. Implementable risk scores are needed to improve targeted …

Diabetes mellitus (DM) is a growing global disease which highly affects the individual
patient and represents a global health burden with financial impact on national health care …