Hao et al. BMC Medical Informatics and Decision Making (2018) 18:25 https://doi.org/10.1186/s12911-018-0603-0
CORRECTION
Open Access
Correction to: A pattern learning-based method for temporal expression extraction and normalization from multi-lingual heterogeneous clinical texts Tianyong Hao1,2, Xiaoyi Pan1, Zhiying Gu1, Yingying Qu3* and Heng Weng4* Erratum After publication of the original article [1] it was noted that the captions relating to Figs. 2 and 3 had been interchanged. These errors were introduced during typesetting; thus the publisher apologizes for this error. The correct figures and corresponding captions are shown below. Author details 1 School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou, China. 2School of Computer, South China Normal University, Guangzhou, China. 3School of Business, Guangdong University of Foreign Studies, Guangzhou, China. 4The Second Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China.
Reference 1. Hao T, Pan X, Yi BK, Gu Z, Qu Y, Weng H. A pattern learning-based method for temporal expression extraction and normalization from multi-lingual heterogeneous clinical texts. BMC Med Inform Decis Mak. 2018;18(Suppl 1):22.
* Correspondence:
[email protected];
[email protected] 3 School of Business, Guangdong University of Foreign Studies, Guangzhou, China 4 The Second Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China Full list of author information is available at the end of the article © The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Hao et al. BMC Medical Informatics and Decision Making (2018) 18:25
Fig. 2 An implemented graphical user interface of TEER for temporal expression extraction
Page 2 of 3
Hao et al. BMC Medical Informatics and Decision Making (2018) 18:25
Page 3 of 3
Fig. 3 The scalability evaluation of TEER (the first) and TEER_C (the second) using the increasing number of temporal expressions randomly selected from the testing datasets
