| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 5725773 | Academic Radiology | 2016 | 9 Pages |
Abstract
Machine learning can be successfully applied to create specific feature-based models for predicting articles likely to achieve high influence within the radiological literature.
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Authors
Andrew B. MD, MPA, Ankur M. MD, Luke A. Ginocchio, Yindalon MD, PhD,