Artificial intelligence (AI) is a fast-growing field and its applications to diabetes, a global
pandemic, can reform the approach to diagnosis and management of this chronic condition …

PURPOSE: The agent-oriented paradigm has emerged as a viable approach for the
development of autonomic systems in the healthcare domain. This paper reviews …

Despite the recent progress in Graph Neural Networks (GNNs), it remains challenging to
explain the predictions made by GNNs. Existing explanation methods mainly focus on post …

One of the major challenges in machine learning nowadays is to provide predictions with not
only high accuracy but also user-friendly explanations. Although in recent years we have …

Graph neural networks (GNNs) are powerful graph-based deep-learning models that have
gained significant attention and demonstrated remarkable performance in various domains …

The health sciences are, nowadays, one of the major application areas for case-based
reasoning (CBR). The paper presents a survey of recent medical CBR systems based on a …

Objectives: Liver disease, the most common disease in Taiwan, is not easily discovered in
its initial stage; early diagnosis of this leading cause of mortality is therefore highly important …

OBJECTIVES: This paper presents current work in case-based reasoning (CBR) in the
health sciences, describes current trends and issues, and projects future directions for work …

Knowledge-based systems (KBS) and intelligent computing systems have been used in the
medical planning, diagnosis and treatment. The KBS consists of rule-based reasoning …

This commentary summarizes case-based reasoning research applied in the medical
domain. In this commentary the term 'medical'is used in an all-encompassing manner. It …