Using machine learning to parse breast pathology reports

Using machine learning to parse breast pathology reports

© 2016, Springer Science+Business Media New York. Purpose: Extracting information from electronic medical record is a time-consuming and expensive process when done manually. Rule-based and machine learning techniques are two approaches to solving this problem. In this study, we trained a machine le...

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Bibliographic Details
Main Authors: Yala, Adam, Barzilay, Regina, Salama, Laura, Griffin, Molly, Sollender, Grace, Bardia, Aditya, Lehman, Constance, Buckley, Julliette M, Coopey, Suzanne B, Polubriaginof, Fernanda, Garber, Judy E, Smith, Barbara L, Gadd, Michele A, Specht, Michelle C, Gudewicz, Thomas M, Guidi, Anthony J, Taghian, Alphonse, Hughes, Kevin S
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:English
Published: Springer Science and Business Media LLC 2021
Online Access:https://hdl.handle.net/1721.1/135735

Internet

https://hdl.handle.net/1721.1/135735

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