Abstract To apply Artificial Intelligence (AI), Machine Learning (ML) and Machine Reasoning
(MR) in health informatics are often challenging as they comprise with multivariate …

Time series are ubiquitous, and a measure to assess their similarity is a core part of many
computational systems. In particular, the similarity measure is the most essential ingredient …

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 …

Oil spills represent one of the most destructive environmental disasters. Predicting the
possibility of finding oil slicks in a certain area after an oil spill can be critical in reducing …

In the medical field, experts' knowledge is based on experience, theoretical knowledge and
rules. Case-based reasoning is a problem-solving paradigm which is based on past …

Case Based Reasoning (CBR) is an important technique in artificial intelligence, which has
been applied to various kinds of problems in a wide range of domains. Selecting case …

Cloud computing is highly suitable for medical diagnosis in e‐health services where strong
computing ability is required. However, in spite of the huge benefits of adopting the cloud …

OBJECTIVE: Biofeedback is today a recognized treatment method for a number of physical
and psychological problems. Experienced clinicians often achieve good results in these …

Background Supporting medical decision making is a complex task, that offers challenging
research issues to Artificial Intelligence (AI) scientists. The Case-based Reasoning (CBR) …

Healthcare professionals have long envisioned using the enormous processing powers of
computers to discover new facts and medical knowledge locked inside electronic health …