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A colleague of yours has developed a natural language processing system that att

ID: 3528272 • Letter: A

Question

A colleague of yours has developed a natural language processing system that attempts to recognize patients with features suggestive of tuberculosis in chest x-ray reports. You have at your disposal two expert radiologists, and a set of 100 deidentified radiology reports (all for chest x-rays). All of the reports are currently unannotated, but it has been documented in a previous study that experts agree with one another with high reliability when diagnosing tuberculosis based on a radiology report. Consider the above experimental designs:


1.1 Which design is most appropriate for the evaluation of this system

Explanation / Answer

I would go with option a : DESIGN B...because it takes care of the situation perfectly!!! there is lesser scope for error...

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