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Medical Problem Solving: An Analysis of Clinical Reasoning
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The article was published on 1978-01-01 and is currently open access. It has received 1600 citations till now. The article focuses on the topics: Model-based reasoning.read more
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Reasoning and Instruction in Medical Curricula
TL;DR: The authors examined the knowledge and explanatory processes of students in two medical schools with different modes of instruction and found that students in the problem-based learning curriculum had a greater tendency to commit errors of scientific fact, to generate less coherent explanations, and to use f...
The evidence base of clinical diagnosis : theory and methods of diagnostic research
TL;DR: This work states that improving test ordering and its diagnostic cost-effectiveness in clinical practice-bridging the gap between clinical research and routine health care needs to be a priority.
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An Investigation of Auditor Decision Processes in the Evaluation of Internal Controls and Audit Scope Decisions
TL;DR: The authors found that auditors are given the same task and frequently make different decisions when they are given different tasks, and this result has been obtained for relatively simple tasks and relatively complex tasks (e.g., Reckers and Taylor [1979] and Mock and Turner [1981]).
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Exploring situational awareness in diagnostic errors in primary care
Hardeep Singh,Traber Davis Giardina,Laura A. Petersen,Michael W. Smith,Lindsey Wilson Paul,Key Dismukes,Gayathri Bhagwath,Eric J. Thomas +7 more
TL;DR: A framework of SA can help analyse and understand diagnostic errors in primary care settings that use EHRs and in cases without error, application of the SA framework provided insight into processes involved in attention management.
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A comparison of classification accuracy of four genetic programming-evolved intelligent structures
TL;DR: Four context-free grammars are presented and used to describe decision trees, fuzzy rule-based systems, feedforward neural networks and fuzzy Petri-nets with genetic programming and cellular encoding is applied in order to express feedforward Neural Networks and fuzzyPetri- nets with arbitrary size and topology.