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

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 …

Objective Case-based reasoning (CBR) is a problem-solving paradigm that uses past
knowledge to interpret or solve new problems. It is suitable for experience-based and theory …

Case-based reasoning (CBR) based on the memory-centered cognitive model is a strategy
that focuses on how people learn a new skill or how they generate hypothesis on new …

Today, clinicians often do diagnosis and classification of diseases based on information
collected from several physiological sensor signals. However, sensor signal could easily be …

摘要随着区域医疗, 移动医疗, 转化医学等新兴技术的应用和发展, 电子病历,
电子健康档案及转化基因等数据都呈现出爆炸式增长. 为了将医疗服务信任问题渗透到人与医疗 …

OBJECTIVES: This paper aims at systematizing the ways in which the contextual knowledge
embedded in the case library can support decision making, within case-based reasoning …

The consequences of tiredness, drowsiness, stress and lack of concentration caused by a
variety of different factors such as illness, sleep depletion, drugs and alcohol is a serious …

The amount of medical and industrial experience and knowledge is rapidly growing and it is
increasingly difficult to be up to date leading to less informed decisions, mistakes and …

This paper presents a framework to process and analyze data from a pulse oximeter which
remotely measures pulse rate and blood oxygen saturation from a set of individuals. Using …