Cough acoustics contain multitudes of vital information about pathomorphological
alterations in the respiratory system. Reliable and accurate detection of cough events by …

Abstract Machine learning has proven to be an effective technique in recent years and
machine learning algorithms have been successfully used in a large number of applications …

In the field of medicine, with the introduction of computer systems that can collect and
analyze massive amounts of data, many non-invasive diagnostic methods are being …

Recent developments in sensor technology and computational analysis methods enable
new strategies to measure and interpret lung acoustic signals that originate internally, such …

In recent decades, artificial neural networks (ANNs) have been extensively applied in
different areas such as engineering, medicine, business, education, manufacturing and so …

In this paper, we propose the use of local sensitivity analysis (LSA) for the structure
simplification of the probabilistic neural network (PNN). Three algorithms are introduced …

Background: Computerized lung sound analysis involves recording lung sound via an
electronic device, followed by com‑puter analysis and classification based on specific signal …

This book provides a central source of reference on the various data management
techniques of large scale data processing and its technology application. This book presents …

In this work, the modification of the probabilistic neural network (PNN) is proposed. The
traditional network is adjusted by introducing the weight coefficients between pattern and …

Auscultation based diagnosis of pulmonary disorders relies on the presence of adventitious
sounds. In this paper, we propose a new set of features based on temporal characteristics of …