Literature DB >> 30076068

RETRACTED: Diagnosis labeling with disease-specific characteristics mining.

Jun Guo1, Xuan Yuan2, Xia Zheng3, Pengfei Xu2, Yun Xiao2, Baoying Liu4.   

Abstract

This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/our-business/policies/article-withdrawal). This article has been retracted at the request of the authors; serious errors had been introduced within the data set presented and, as such, the authors have decided to retract the paper. Error summary is outlined below: 1. The dataset was divided into training set, validation set and testing set. The training set and validation set were used to tune the parameter. According to the authors this is an overfitting and can mislead the readers. 2. The compared baselines are not strong enough for fair comparison. The code was not requested from the original authors, but algorithms have been implemented. 3. The bag of words model is not trained suitably. The model was trained with the used dataset and the performance has been evaluated on this dataset. Authors think this is an overfitting and makes the comparison untrustworthy.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Diagnosis labeling; Disease-specific features; ICU medical data minings

Mesh:

Year:  2018        PMID: 30076068     DOI: 10.1016/j.artmed.2018.06.006

Source DB:  PubMed          Journal:  Artif Intell Med        ISSN: 0933-3657            Impact factor:   5.326


  1 in total

Review 1.  Deep learning in generating radiology reports: A survey.

Authors:  Maram Mahmoud A Monshi; Josiah Poon; Vera Chung
Journal:  Artif Intell Med       Date:  2020-05-15       Impact factor: 5.326

  1 in total

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