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Set theory in diagnostic reasoning

Clinica Chimica Acta, 2003
Regarding diagnostic reasoning, the currently taught Bayesian theory is a form of hypothetical-deduction reasoning. Using set theory, we offer syllogism reasoning instead of hypothetical-deductive reasoning and establish an online diagnostic expert system model based on this diagnostic methodology.Concepts of set theory were employed to demonstrate ...
Rui-Bao, Tang   +2 more
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Diagnostic Reasoning with a Working Memory

1985
We outline a new control structure for an expert system in (medical) diagnosis. The control structure is based on psychological observations of expert clinicians. It involves investigating a set of hypotheses simultaneously, avoiding the shortcomings of focussing on the top-hypothesis only. The set of hypothesis is called working-memory.
Frank Puppe, Bernhard Puppe
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Diagnostic Reasoning

2019
This chapter describes the diagnostic process and provides illustrations from the author’s experience. It notes that the clinical encounter has parallels in hypothetico-deductive reasoning, sharing key elements but not the sequential structure. It refers to the consensus that the thinking of experienced clinicians seldom follows a simple sequence and ...
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Functional neuroimaging and diagnostic reasoning

Medical Teacher, 2016
Dear SirWe read Durning et al.’s article on the functional neuroimaging correlates of thinking flexibility and knowledge structure in memory with considerable interest.
Georges, Bordage, Kevin, Eva
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Research on Diagnostic Reasoning in Nursing

International Journal of Nursing Terminologies and Classifications, 1990
NANDA has traditionally complemented its work on the development and clinical testing of nursing diagnoses with concurrent interest in nurses' diagnostic reasoning processes. This literature review describes studies in diagnostic reasoning, including research based on the information processing model, research examining the role of intuition, and ...
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Diagnostic reasoning in digital systems

[1988] The Eighteenth International Symposium on Fault-Tolerant Computing. Digest of Papers, 2003
The authors describe an efficient method for fault diagnosis in digital systems based on the technique of reasoning. The methodology operates on the observed erroneous behavior and the structure of the system. The behavior consists of the error(s) observed on the circuit's output lines and specific values on the circuit's input lines.
Kurt H. Thearling, Ravishankar K. Iyer
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Causal models for diagnostic reasoning

Artificial Intelligence in Engineering, 1989
Abstract Theories of qualitative physics are crucial in developing knowledge-based systems in engineering. Basic models for diagnostic reasoning are based on causal connections between the system parameters. In this paper a knowledge representation and problem solving technique is presented as a ground-laying step.
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Causal reasoning and the diagnostic process

Theoretical Medicine, 1994
Causal reasoning as a way to make a diagnosis seems convincing. Modern medicine depends on the search for causes of disease and it seems fair to assert that such knowledge is employed in diagnosis. Causal reasoning as it has been presented neglects to some extent the conception of multifactorial disease causes.The purpose of this paper is to analyze ...
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Diagnostic Reasoning in Neurologic Consultation

Continuum
This article discusses potential pitfalls when consulting on patients who develop neurologic symptoms in the context of systemic disease and describes strategies to avoid diagnostic errors in this context.Cognitive biases that shape clinical reasoning have been identified and studied.
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