Use of a Machine-learning Method for Predicting Highly Cited Articles Within General Radiology Journals.

Journal: Academic radiology
PMID: 27692588

Abstract

RATIONALE AND OBJECTIVES: This study aimed to assess the performance of a text classification machine-learning model in predicting highly cited articles within the recent radiological literature and to identify the model's most influential article features.

Authors

  • Andrew B Rosenkrantz
    Department of Radiology, NYU Langone Medical Center, 660 First Avenue, 3rd Floor, New York, NY 10016. Electronic address: Andrew.Rosenkrantz@nyumc.org.
  • Ankur M Doshi
    Department of Radiology, NYU Langone Medical Center, 660 First Avenue, 3rd Floor, New York, NY 10016.
  • Luke A Ginocchio
    Department of Radiology, NYU Langone Medical Center, 660 First Avenue, 3rd Floor, New York, NY 10016.
  • Yindalon Aphinyanaphongs
    Department of Population Health, New York University, New York.

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