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, 2017 This chapter discusses diagnostic reasoning from the perspective of causal inference. The computational framework that provides the foundation for the analyses—probabilistic inference over graphical causal structures—can be used to implement different models that share the assumption that diagnostic inferences are guided and constrained by causal ...
Meder, B. ; https://orcid.org/0000-0002-9326-400X +1 more
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Heuristics reasoning in diagnostic judgment
Journal of Professional Nursing, 1995Heuristics inquiry is an exciting new approach to understanding diagnostic reasoning. Heuristics are short-cut mental strategies that streamline information. Although heuristics allow for faster processing of information than analytic methods, they can lead to errors because not all information is considered.
Eileen S OʼNeill
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Clinical Reasoning and Diagnostic Errors
Medical Clinics of North AmericaClinical reasoning has many different definitions subsuming many different processes and theories. Clinical reasoning can be generally conceived of as including both diagnostic reasoning and management reasoning. Safe, effective, efficient, and judicious diagnosis is the cornerstone of high-quality health care; yet, the diagnostic process is complex ...
Andrew Olson +2 more
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Annals of Internal Medicine, 2018
Diagnostic reasoning is the mental process by which physicians turn information about the patient into the name of a disease. To do this, physicians must gather and evaluate evidence relevant to the clinical problem, and then choose a diagnosis or make a decision about management.
Arabella L, Simpkin +2 more
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Diagnostic reasoning is the mental process by which physicians turn information about the patient into the name of a disease. To do this, physicians must gather and evaluate evidence relevant to the clinical problem, and then choose a diagnosis or make a decision about management.
Arabella L, Simpkin +2 more
+10 more sources
DIAGNOSTIC REASONING IN NEUROLOGY
Neurologic Clinics, 1996Studies examining physicians' clinical decisions have demonstrated considerable variation in decisions and practices and identified numerous challenges to effective, efficient, and accurate decision making. Although use of the decision aids and tools described in this article may help overcome many of these challenges, greater self-awareness of the ...
D R, Gifford, B S, Mittman, B G, Vickrey
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Diagnostic reasoning strategies and diagnostic success
Medical Education, 2003Purpose Cognitive psychology research supports the notion that experts use mental frameworks or ‘schemes’, both to organize knowledge in memory and to solve clinical problems. The central purpose of this study was to determine the relationship between problem‐solving strategies and the likelihood of diagnostic ...
S, Coderre +3 more
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Annals of Internal Medicine, 1989
Research in cognitive science, decision sciences, and artificial intelligence has yielded substantial insights into the nature of diagnostic reasoning. Many elements of the diagnostic process have been identified, and many principles of effective clinical reasoning have been formulated.
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Research in cognitive science, decision sciences, and artificial intelligence has yielded substantial insights into the nature of diagnostic reasoning. Many elements of the diagnostic process have been identified, and many principles of effective clinical reasoning have been formulated.
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A causal model for diagnostic reasoning
Journal of Computer Science and Technology, 2000zbMATH Open Web Interface contents unavailable due to conflicting licenses.
GuoQiang Peng, Cheng Hu
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Set theory in diagnostic reasoning
Clinica Chimica Acta, 2003Regarding 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 in digital systems
[1988] The Eighteenth International Symposium on Fault-Tolerant Computing. Digest of Papers, 2003The 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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