Heart failure is a chronic cardiac condition characterized by reduced supply of blood to the
body due to impaired contractile properties of the muscles of the heart. Like any other …

In practical engineering, data imbalance is an urgent problem to be solved for rolling
bearing fault diagnosis. This paper proposes a unified framework incorporating predictive …

This paper presents a systematic literature review with respect to application of data science
and machine learning (ML) to heart failure (HF) datasets with the intention of generating …

Both reverse transcription-PCR (RT-PCR) and chest X-rays are used for the diagnosis of the
coronavirus disease-2019 (COVID-19). However, COVID-19 pneumonia does not have a …

Accurate classification of brain tumor subtypes is important for prognosis and treatment.
Researchers are developing tools based on static and dynamic feature extraction and …

Background The use of artificial intelligence has revolutionized every area of life such as
business and trade, social and electronic media, education and learning, manufacturing …

Heart disease remains a predominant health challenge, being the leading cause of death
worldwide. According to the World Health Organization (WHO), cardiovascular diseases …

The prediction of tweets associated with specific topics offers the potential to automatically
focus on and understand online discussions surrounding these issues. This paper …

In this investigation, intelligent predictive stochastic computing is presented by exploitation
of artificial neural networks Levenberg-Marquardt approach (ANNs-LMA) to analyze the …

Automatic text classification, in which textual data is categorized into specified categories
based on its content, is a classic issue in the science of Natural Language Processing. In …