Despite all standardization efforts, medical diagnosis is still considered an art. Much of this status is owed to the fact that medical diagnosis requires a proficiency in coping with uncertainty simply not found in today's computing machinery. Offering a generic and powerful framework for the remodelling of existing systems and the paradigms they are based on, fuzzy set theory promises to be a...

This paper describes a novel approach to medical diagnosis based on the SP theory of computing and cognition. The main attractions of this approach are: a format for representing diseases that is simple and intuitive; an ability to cope with errors and uncertainties in diagnostic information; the simplicity of storing statistical information as frequencies of occurrence of diseases; a method fo...

Increasing computing power in smartphones allows for their transformation into point-of-care diagnostic devices. Mobile medical diagnostic applications enable utilization of the processing capabilities of smartphones through their cameras. Hardware attachments or stand-alone versions of smartphone diagnostics have the capability to revolutionize quantitative readouts. Here, we describe a protoc...

Introduction: In order to simplify the information exchange within the medical diagnosis process, a collaborative software agent’s framework is presented. The purpose of the framework is to allow the automated information exchange between different medicine specialists. Methods: This study presented architecture of a hybrid disease diagnosis system. The architecture employed a learning...