Chronic airway diseases are characterized by airway inflammation, obstruction, and
remodeling and show high prevalence, especially in developing countries. Among them …

Artificial intelligence (AI) when coupled with large amounts of well characterised data can
yield models that are expected to facilitate clinical practice and contribute to the delivery of …

Respiratory sound (RS) attributes and their analyses structure a fundamental piece of
pneumonic pathology, and it gives symptomatic data regarding a patient's lung. A couple of …

Asthma is a complex respiratory disorder in which structural changes in the conducting
airway cause variable airflow limitation. The excessive narrowing of the airway lumen …

Abstract Background and Objective Obstructive airway diseases, including asthma and
Chronic Obstructive Pulmonary Disease (COPD), are two of the most common chronic …

Ordinal classification tasks that require the allocation of limited resources are prevalent in
various real-world scenarios. Examples include assessing disease severity in the context of …

The field of medicine is witnessing an exponential growth of interest in artificial intelligence
(AI), which enables new research questions and the analysis of larger and new types of …

Resource-constrained classification tasks are common in real-world applications such as
allocating tests for disease diagnosis, hiring decisions when filling a limited number of …

This paper proposes an ordinal decision-tree model, which applies a new weighted
information-gain ratio (WIGR) measure for selecting the classifying attributes in the tree. The …

Abstract Machine learning is integrated nowadays in many data-driven applications that
attempt to model the behavior of a system. Thus, the implementation of machine-learning …