In sequential diagnostic reasoning the goal is to determine the most likely cause for a number of sequentially observed effects. Potential hypotheses are narrowed down by integrating the cumulating observed evidence leading to the selection of one among several hypotheses. In the reported diagnostic reasoning experiment, thirty-eight participants were tested with quasi-medical problems consisti...

Guaranteeing 100% fault free products is becoming an emerging standard in many branches of manufacturing. This paper addresses the design of an end–quality diagnostic system for detection of mechanical faults in electronically commutated motors. One of the main requirements of an end–quality diagnostic system is its ability for detecting faults in their earliest stages. Main issue in detecting ...

An investigation is presented in which a computer simulation model (DIAGNC)SER) is used to develop and test predictions for behavior of subjects in a task of medical diagnosis. The first experiment employed a process-tracing methodolagy in order to compare hypothesis generation and evaluation behavior of DIAGNOSER with individuals at different levels of expertise (students, trainees, experts). ...

We aimed to study linguistic and non-linguistic elements of diagnostic reasoning across the continuum of medical education. We performed semi-structured interviews of premedical students, first year medical students, third year medical students, second year internal medicine residents, and experienced faculty (ten each) as they diagnosed three common causes of dyspnea. A second observer recorde...

Intelligent instruction of fault diagnosis, or troubleshooting, tasks requires the capability to automatically infer the significance of particular test outcomes observed by the learner in a practice environment. This single process is central to virtually every aspect of intelligent instruction in this domain, ranging from evaluating learner proficiency to recommending an effective testing str...

most contemporary clinical reasoning tests typically assess non-automatic thinking. therefore, a test is needed to measure automatic reasoning or pattern recognition, which has been largely neglected in clinical reasoning tests. the puzzle test (pt) is dedicated to assess automatic clinical reasoning in routine situations. this test has been introduced first in 2009 by monajemi et al in the oly...

The role of gut feelings in diagnostic reasoning is recognized by most GPs throughout Europe, and probably throughout the world. Studies on this topic have emerged from different countries but there is the risk that authors will use different terms for similar concepts. The European Expert Group on Cognitive and Interactive Processes in Diagnosis and Management in General Practice, COGITA for s...

A new probabilistic network construction system, DYNASTY, is proposed for diagnos­ tic reasoning given variables whose probabil­ ities change over time. Diagnostic reason­ ing is formulated as a sequential stochastic process, and is modeled using influence dia­ grams. Given a set 0 of observations, DY­ NASTY creates an influence diagram in or­ der to devise the best action given 0. Sensi­ tivit...

Fuzzy abduction is a procedure for deriving fuzzy sets of hypotheses which explain a given fuzzy set of events using a set of implications with a truth value. The derived fuzzy sets of hypotheses are called fuzzy explanations. This paper starts with discussion for diagnosis using conventional expert systems and with fuzzy relational equations. Then, it proposes an approach using a fuzzy abducti...