Evidence-based mechanistic reasoning

Mechanistic Evidence in Evidence-Based Medicine: A Conceptual Framework

A Clustering-Based Evidence Reasoning Method

Aiming at the counterintuitive phenomena of the Dempster–Shafer method in combining the highly conflictive evidences, a combination method of evidences based on the clustering analysis is proposed in this paper. At first, the cause of conflicts is disclosed from the point of view of the internal and external contradiction. And then, a new similarity measure based on it is proposed by comprehens...

Evidence Based Reasoning in Classifier Hierarchies

Hierarchical neural networks naturally combine subsymbolic information processing with symbolic information as they consist of several neural classifiers which provide hierarchically structured knowledge. This knowledge implies a particular uncertainty which is indicated by the magnitude of the classifier outputs. There are different ways to combine this expert knowledge to a collective output....

Cognitive Assistants for Evidence-Based Reasoning Tasks

Evidence-based reasoning is at the core of many problem solving and decision making tasks in a wide variety of domains. This paper introduces a computational theory of evidence-based reasoning, the architecture of a learning agent shell which incorporates general knowledge for evidence-based reasoning, a methodology that uses the shell to rapidly develop cognitive assistants in a specific domai...

Case-Based Reasoning in CARE-PARTNER: Gathering Evidence for Evidence-Based Medical Practice

This paper presents the CARE-PARTNER system. Functionally, it offers via the WWW knowledge-support assistance to clinicians responsible for the long-term follow-up of stem-cell post-transplant patient care. CAREPARTNER aims at implementing the concept of evidence-based medical practice, which recommends the practice of medicine based on proven and validated knowledge. From an artificial intelli...