| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4218008 | Academic Radiology | 2016 | 6 Pages |
Abstract
Machine learning classifiers developed from narrative radiology reports are feasible methods to predict imaging utilization. Such systems can be used to identify high utilizers, inform future image ordering behavior, and encourage judicious use of imaging.
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Authors
Saeed PhD, Curtis P. MD, PhD,