In the present day, there are many diseases which need to be identified at their early stages
to start relevant treatments. If not, they could be uncurable and deadly. Due to this reason …

Machine learning algorithms construct a remarkable contribution to predicting diseases. The
generic purpose of this work is to help the researchers and practitioners to choose …

Predicting and detection of heart disease has always been a critical and challenging task for
healthcare practitioners. Hospitals and other clinics are offering expensive therapies and …

Abstract Internet of Things (IoT) and smart medical devices have improved the healthcare
systems by enabling remote monitoring and screening of the patients' health conditions …

Cloud computing delivers services through the Internet and enables the deployment of a
diversity of apps to provide services to many businesses. At present, the low scalability of …

Cardiovascular disease is defined as a set of conditions related to the disorder of the heart
and blood vessels. Predicting and diagnosing cardiovascular disease is significant to …

Cardiovascular diseases (heart-related diseases) are the reason for the deaths of 18 million
people every year in the world. According to WHO, 31% of the deaths worldwide are due to …

Machine Learning (ML) refers to a variety of statistical approaches that enable computers to
learn from experience without being explicitly programmed. This learning generally …

The growing use of Internet of Things (IoT) technologies in a variety of sectors, including
healthcare, has opened up new possibilities for gathering and analyzing patient data. In …

The concept of “Smart Healthcare” has surfaced recently, owing to the progressions made in
information technology. Implementing advanced information technologies, such as Cloud …