Artificial intelligence can assist providers in a variety of patient care and intelligent health
systems. Artificial intelligence techniques ranging from machine learning to deep learning …

A broad range of medical diagnoses is based on analyzing disease images obtained
through high-tech digital devices. The application of artificial intelligence (AI) in the …

Diabetes is a long-lasting disease triggered by expanded sugar levels in human blood and
can affect various organs if left untreated. It contributes to heart disease, kidney issues …

Prediction of type 2 diabetes (T2D) occurrence allows a person at risk to take actions that
can prevent onset or delay the progression of the disease. In this study, we developed a …

Abstract Machine Learning (ML) is a branch of artificial intelligence that allows computers to
learn without being explicitly programmed. ML has been widely used in healthcare to predict …

Disease diagnosis is a critical task which needs to be done with extreme precision. In recent
times, medical data mining is gaining popularity in complex healthcare problems based …

Diabetes is a very common disease affecting individuals worldwide. Diabetes increases the
risk of long-term complications including heart disease, and kidney failure among others …

A steady rise has been observed in the percentage of elderly people who want and are still
able to contribute to society. Therefore, early retirement or exit from the labour market, due to …

Diabetes mellitus is a chronic condition characterized by a disturbance in the metabolism of
carbohydrates, fats and proteins. The most characteristic disorder in all forms of diabetes is …

The adequate aging hypothesis seeks to help people live longer, healthy lives. Diabetic
patients who stay remotely need an infrastructure to monitor them continuously and provide …