Background: The use of intelligent decision support systems (IDSS) is widespread in the
healthcare industry, particularly for real-time data, client and family history datasets, and …

Over the years, there have been substantial developments in how machine learning (ML)
can be used in several industries, research and development. Machine learning is used to …

Technological advancements have transformed and revolutionized several fields, including
transportation, agriculture, finance, weather monitoring, etc. Apart from these, healthcare has …

Data mining (DM) is an instrument of pattern detection and retrieval of knowledge from a
large quantity of data. Many robust early detection services and other health-related …

Machine learning (ML) is the most conspicuous area of computational science which
focuses on analysis and interpretation of patterns and structures in data. It enables learning …

Cardiovascular diseases are causing more deaths across the globe. With innovations in
Artificial Intelligence (AI) predicting such diseases early is very important research area. With …

With the continuous advancement in technology, data mining and machine learning have
found applications in various industries, including but not limited to agriculture, automobile …

Abstract Machine learning approaches are utilized in healthcare for computational decision-
making in cases where critical medical data analysis is required to identify hidden linkages …

Ever since the first cities were created, they have been dependent on technology to sustain
life. The smart city paradigm integrates advanced monitoring, sensing, communication, and …

The world is currently undergoing a rapid transformation in technology that will drastically
change our lives, and potentially redefine what it means to be human. Machine learning has …