Correction: Redundancy-Aware Topic Modeling for Patient Record Notes
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Copyright: 2014 The PLOS ONE Staff. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Figure 3. Topics learnxled by Red-LDA (top) and Vanilla LDA (bottom) on the EHR corpus. Both topics are about breast cancer (ca is an abbreviation for cancer). The Vanilla LDA topic, however, contains unrelated yet highly ranked words (e.g., eye, glaucoma, colonoscopy, albuterol). The Red-LDA topic was preferred by the domain experts. doi:10.1371/journal.pone.0087555.g003 Figure 5. Red-LDA generative story. doi:10.1371/journal.pone.0087555.g005
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Redundancy-Aware Topic Modeling for Patient Record Notes
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