Blind Classification of Error-Correcting Codes for Enhancing Spectral Efficiency of Wireless Networks

Peer review for radiologists plays an important role in identifying contributing factors that can lead to diagnostic errors and patient harm. It is essential that all radiologists be aware of the multifactorial causes of diagnostic error in radiology and the methods available to reduce it. This pictorial review provides readers with an overview of common errors that occur in abdominal radiology and strategies to reduce them. This review aims to make readers more aware of pitfalls in abdominal imaging so that these errors can be avoided in the future. This essay also provides a systematic approach to classifying abdominal imaging errors that will be of value to all radiologists participating in peer review.

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Classification of Error-Correcting Coded Data Using Multidimensional Feature Vectors

Advances in Intelligent Systems and Computing - Proceedings of Fourth International Conference on Soft Computing for Problem Solving ◽

10.1007/978-81-322-2220-0_24 ◽

2014 ◽

pp. 303-312 ◽

Cited By ~ 1

Author(s):

Rajesh Asthana ◽

Anand Sharma ◽

Ram Ratan ◽

Neelam Verma

Keyword(s):

Feature Vectors ◽

Classification Of Error

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Classification of Error Correction Methods, a Broad View

Smart and Flexible Digital-to-Analog Converters ◽

10.1007/978-94-007-0347-6_7 ◽

2011 ◽

pp. 85-94

Author(s):

Georgi Radulov ◽

Patrick Quinn ◽

Hans Hegt ◽

Arthur van Roermund

Keyword(s):

Error Correction ◽

Broad View ◽

Classification Of Error

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Taxonomy and Epidemiology of Error in Radiology

Error and Uncertainty in Diagnostic Radiology ◽

10.1093/med/9780190665395.003.0002 ◽

2019 ◽

pp. 29-74

Author(s):

Michael A. Bruno

Keyword(s):

Working Memory ◽

Cognitive Biases ◽

Confirmation Bias ◽

Diagnostic Error ◽

Attentional Focus ◽

Relative Contribution ◽

Anchoring Bias ◽

Classification Of Error

This chapter provides an overview of the prevalence and classification of error types in radiology, including the frequency and types of errors made by radiologists. We will review the relative contribution of perceptual error—in which findings are simply not seen—as compared to other common types of error. This error epidemiology will be considered in the light of the underlying variability and uncertainties present in the radiological process. The role of key cognitive biases will also be reviewed, including anchoring bias, confirmation bias, and availability bias. The role of attentional focus, working memory, and problems caused by fatigue and interruption will also be explored. Finally, the problem of radiologist error will be considered in the context of the overall problem of diagnostic error in medicine.

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