Due to its continuously increasing occurrence, more and more families are influenced by
diabetes mellitus. Most diabetics know little about their health quality or the risk factors they …

This paper describes the design and implementation of a software system to improve the
management of diabetes using a machine learning approach and to demonstrate and …

More than 400 million people in the world have diabetes. High-risk factors of diabetic
individuals vary dramatically, and many patients suffer complications and avoidable harm …

With the advancement of information technologies, mobile health (mHealth) technologies
can be leveraged for patient self-management, patient diagnosis and determining the …

The integration of motivational strategies and self-management theory with mHealth tools is
a promising approach to changing the behavior of patients with chronic disease. In this …

The social and economic development of a country is greatly influenced by providing
effective health care services. In recent years, mobile health applications (mHealth apps) …

Diabetes is a condition that slowly affects the natural defense mechanism and vital organs;
it's a silent and slow killer. It is a condition when body fails to utilize the energy provided by …

The paper proposes a software architecture for applications which use the reasoning upon
SWRL enabled OWL ontologies and SQL like retrievals as core computational models. The …

All areas of our lives are evolving and growing with machine learning (ML) including the
healthcare system. In healthcare systems, diabetes is one of the extremely deadly diseases …

Chronic/non-communicable diseases cause millions of deaths every year. These include
heart diseases, diabetes, cancer and other diseases which are caused due to various …