The healthcare industry uses machine learning (ML) on a worldwide scale. The medical
data collection uses machine learning approaches to help prevent cardiac issues. Scientists …

In this digital era all E-commerce activities are based on the modern recommendation
systems where a company wants to analyse the buying pattern of its customers to optimize …

Healthcare research priorities predictive modelling accuracy and effectiveness, especially in
cardiovascular disease (CVD) risk assessment and early detection. This transformative …

Alzheimer's disease is one of the most common diseases in older adults, and as the disease
progresses, the need for daily care increases. Caregivers of Alzheimer's Disease patients …

Prior to the surgical removal of an acoustic neuroma, the majority of patients anticipate that
their hearing will be preserved to the greatest possible extent following surgery. This paper …

The emergence of the digital age has ushered in an unprecedented era of data production
and collection, creating big data models. In this context, a valuable technique to address …

Coronary and heart diseases are a very important medical problem and a global challenge.
The problem might be solved by both finding an efficient medicine or treatment for the …

Global mortality rates are high due to heart disease, it is crucial to early analyzing the risk
factors of prediction and diagnosis are crucial. Decision trees are a reliable machine …

Modern technology has given rise to strong technologies like machine learning, big data,
and data analytics that are revolutionising how businesses function and make choices …

Background: cardiovascular diseases (CVDs), which encompass heart and blood vessel
issues, stand as the leading cause of global mortality for many people. Methods: the present …