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Authors
Tan, Hui Xing
Teo, Chun Hwee Desmond
Ang, Pei San
Loke, Wei Ping Celine
Tham, Mun Yee
Tan, Siew Har
Soh, Bee Leng Sally
Foo, Pei Qin Belinda
Ling, Zheng Jye
Yip, Wei Luen James
Tang, Yixuan
Yang, Jisong
Tung, Kum Hoe Anthony
Dorajoo, Sreemanee Raaj https://orcid.org/0000-0002-9613-6994
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Funding
Funding for this research was provided by:
Biomedical Research Council of the Agency for Science, Technology and Research of Singapore (SPF2014/001)
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Article History
Accepted: 29 May 2022
First Online: 6 July 2022
Declarations
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: This study was conducted under the SAPhIRE Project, funded by a Strategic Positioning Fund grant from the Biomedical Research Council of the Agency for Science, Technology and Research of Singapore (SPF2014/001).
: The authors have no conflicts of interest that are directly relevant to the content of this article. The view expressed in this article are the authors’ personal views and may not be understood or quoted as being made on behalf or reflect the positions of Health Sciences Authority, NUH and NUS.
: No ethics approval was required for this study.
: Not applicable.
: Not applicable.
: The MIMIC III data used in this study are considered an open source database.
: All data were processed and analysed using Python 3.7. Codes are provided in the ESM.
: THX, TCHD and DSR designed the research, models and computational framework to analyse the data. APS, LWPC, TMY, TSH, SBLS, FPQB, TCHD and DSR provided the domain expertise for manual annotation of discharge summaries and developed the list of trigger words, short forms and acronyms. LZJ and YWLJ coordinated the provision of NUH data and participated in discussions. TYX, YJ and TKHA set up the analytic architecture to allow the package applications to run the codes for the data analysis. All authors read and approved the final version of this manuscript.
