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  • Open Access

Correction to: A pattern learning-based method for temporal expression extraction and normalization from multi-lingual heterogeneous clinical texts

BMC Medical Informatics and Decision MakingBMC series – open, inclusive and trusted201818:25

https://doi.org/10.1186/s12911-018-0603-0

  • Published:

The original article was published in BMC Medical Informatics and Decision Making 2018 18:22

Erratum

After publication of the original article [1] it was noted that the captions relating to Figs. 2 and 3 had been interchanged.
Fig. 2
Fig. 2

An implemented graphical user interface of TEER for temporal expression extraction

Fig. 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

These errors were introduced during typesetting; thus the publisher apologizes for this error. The correct figures and corresponding captions are shown below.

Notes

Declarations

Open AccessThis 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.

Authors’ Affiliations

(1)
School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou, China
(2)
School of Computer, South China Normal University, Guangzhou, China
(3)
School of Business, Guangdong University of Foreign Studies, Guangzhou, China
(4)
The 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.PubMedPubMed CentralGoogle Scholar

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