The knowledge discovery process is as old as Homo sapiens. Until some time ago this
process was solely based on the 'natural personal'computer provided by Mother Nature …

Background More than 17 million people worldwide, including 360,000 people in the United
Kingdom, were diagnosed with cancer in 2018. Cancer prognosis and disease burden are …

The surface electromyography (sEMG) signal is a biomedical signal that measures electrical
currents generated in muscles during its contraction representing neuromuscular activities …

In this article, we analyze the performance of artificial neural network, in classification of
medical images using wavelets as feature extractor. This work classifies the mammographic …

The protein superfamily classification problem, which consists of determining the
superfamily membership of a given unknown protein sequence, is very important for a …

In this paper we use self organized fuzzy system to diagnosis and prognosis hepatitis and
thyroid diseases. Moreover, we compare the result of fuzzy Neural Networks with Support …

Prostate cancer is one of the most common types of cancer found in men. Presenting a
classifier in order classifies between Prostate Cancer (PCa) and benign hyperplasia of …

Nowadays, with advancement of technology and science and expansion of computer usage
in high-tech calculations, especially in the field of medicine, intelligence systems and in …

In this paper, we use support vector machine (SVM) and artificial neural networks to
diagnosis hepatitis diseases. Furthermore, we use those networks to identify the type and …

This paper concentrates on the possibility profit about utilizing Artificial neural systems
(ANN) and extemporized K-means. The analysis about thyroid diagnosis, where ANN is …