Industry 4.0 technologies have been revolutionizing the financial sector over the past few
decades through the emergence of disruptive technologies. These disruptive technologies …

Neurological disorders are diseases of the central and peripheral nervous system and most
commonly affect middle-or old-age people. Accurate classification and early-stage …

This paper presents a data driven system used for cardiac arrhythmia classification. It
applies the Neuro-Fuzzy Inference System (ANFIS) to classify MIT-BIH arrhythmia database …

Applying an artificial neurological network algorithm to a Web-based system, this study
hopes to discover neural diseases. Critical to this study is identifying neurological states …

Purpose: This study introduces a pioneering hybrid model that combines genetic algorithms,
neuro-fuzzy logic, and mobile agent technology to enhance predictive precision for early …

The main challenge within the health sector presently is the need for a quick, lower cost and
robust disease diagnosis techniques. Adaptive-neuro-fuzzy inference system (ANFIS) …

This paper proposes and evaluates a hybrid diagnostic model for kidney disease prediction
using data mining techniques, as a potential solution to the current problems facing existing …