Background and objective To automatically identify patients with diabetes mellitus (DM) who
have high risk of developing diabetic foot, via an unsupervised machine learning technique …

Objective: Map the scientific evidence on the use of clinical decision support systems in
diabetic foot care. Method: A scoping review based on the JBI Manual for Evidence …

INTRODUCTION: Diabetic nephropathy is one of the complications of diabetes that causes
damage to kidneys. Deep learning techniques are widely used to predict different diseases …

The problem of diabetic prediction has been well studied in this paper. The disease
predictions have been explored using various methods of data mining. The use of medical …

Objective: Map the scientific evidence on the use of clinical decision support systems in
diabetic foot care. Method: A scoping review based on the JBI Manual for Evidence …

Medical services are the quickest developing space that expects to give the fitting therapy to
postpone the sickness movement. Medical services space comprises of the most significant …

Diabetes Mellitus is a most common metabolic disease globally. According to World health
organization diabetes is one of the leading causes of deaths in world, and with an estimate …

Today's advent in the medical industry have given numerous chances to improve the quality
of detection and reporting the diseases at the early stages for a better diagnosis. Modern …

The immune system targets the thin membrane that lines the joints in rheumatoid arthritis. If
the disease is not addressed, this might result in joint deterioration. It also causes …

Machine Learning is an emerging technique widely penetrated into the prediction of
Cardiovascular Disease (CVD) events. Cardiovascular Disease is the leading global cause …