Context: Recently, the machine learning (ML) field has been rapidly growing, mainly owing
to the availability of historical datasets and advanced computational power. This growth is …

Considering the complexity of blood glucose dynamics, the adoption of a single model to
predict blood glucose level does not always capture the inter-and intra-patients' context …

The diagnosis of breast cancer in the early stages significantly decreases the mortality rate
by allowing the choice of adequate treatment. This study developed and evaluated twenty …

With the recent spread of the SARS-CoV-2 virus, computer-aided diagnosis (CAD) has
received more attention. The most important CAD application is to detect and classify …

Purpose Neuro-fuzzy systems aim to combine the benefits of artificial neural networks and
fuzzy inference systems: a neural network can learn patterns from data and achieves high …

Neuro-fuzzy systems have received considerable attention from academia in the last
decade. They can provide a tradeoff between the performance of artificial neural networks …

Diagnosis of breast cancer in the early stages allows to significantly decrease the mortality
rate by allowing to choose the adequate treatment. This paper develops and evaluates …

Neuro-fuzzy systems combine the abilities of both artificial neural networks and fuzzy
systems. They are easily trainable and provide a certain level of interpretability. Their …

In the last decade, neurofuzzy networks have received considerable attention from
academia. These systems strike a tradeoff between the performance of artificial neural …

The major cause of death has always been seen as cancer. The challenge is figuring it out
as soon as possible. The possibility of preserving them decreases as the stage rises …