Clinical concept extraction with lexical semantics to support automatic annotation

Asim Abbas; Muhammad Afzal; Jamil Hussain; Taqdir Ali; Hafiz Syed Muhammad Bilal; Sungyoung Lee; Seokhee Jeon

doi:10.3390/ijerph182010564

Clinical concept extraction with lexical semantics to support automatic annotation

Asim Abbas
, Muhammad Afzal
, Jamil Hussain
, Taqdir Ali
, Hafiz Syed Muhammad Bilal
, Sungyoung Lee^*
, Seokhee Jeon^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

14 Citations (SciVal)

Original language	English
Article number	10564
Journal	International Journal of Environmental Research and Public Health
Volume	18
Issue number	20
DOIs	https://doi.org/10.3390/ijerph182010564
Publication status	Published (VoR) - 1 Oct 2021

Funding

Institutional Review Board Statement: Promotion (IITP) grant funded by the Korea government (MSIT) (No.2017-0-00655), by the MSIT (Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program (IITP2020-0-01489), (IITP-2021-0-00979) supervised by the IITP (Institute for Information & communications Technology Planning & Evaluation) NRF-2016K1A3A7A03951968 and NRF2019R1A2C2090504. Funding: This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2017-0-01629) supervised by the IITP (Institute for Information & communications Technology Promotion)”, by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No.2017-0-00655), by the MSIT (Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program (IITP2020-0-01489) supervised by the IITP (Institute for Information & communications Technology Planning & Evaluation) NRF-2016K1A3A7A03951968 and NRF2019R1A2C2090504. supervised by the IITP (Institute for Information & communications Technology Promotion), by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No.2017-0-00655), by the MSIT (Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program (IITP-2020-0-01489),

Keywords

Clinical concept extraction
Data annotation
Lexical semantics
Medical concept classifica-tion
Rule-based systems

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10.3390/ijerph182010564

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title = "Clinical concept extraction with lexical semantics to support automatic annotation",

keywords = "Clinical concept extraction, Data annotation, Lexical semantics, Medical concept classifica-tion, Rule-based systems",

author = "Asim Abbas and Muhammad Afzal and Jamil Hussain and Taqdir Ali and Bilal, \{Hafiz Syed Muhammad\} and Sungyoung Lee and Seokhee Jeon",

note = "Funding Information: Institutional Review Board Statement: Promotion (IITP) grant funded by the Korea government (MSIT) (No.2017-0-00655), by the MSIT (Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program (IITP2020-0-01489), (IITP-2021-0-00979) supervised by the IITP (Institute for Information \& communications Technology Planning \& Evaluation) NRF-2016K1A3A7A03951968 and NRF2019R1A2C2090504. Funding Information: Funding: This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2017-0-01629) supervised by the IITP (Institute for Information \& communications Technology Promotion)”, by Institute for Information \& communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No.2017-0-00655), by the MSIT (Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program (IITP2020-0-01489) supervised by the IITP (Institute for Information \& communications Technology Planning \& Evaluation) NRF-2016K1A3A7A03951968 and NRF2019R1A2C2090504. Funding Information: supervised by the IITP (Institute for Information \& communications Technology Promotion), by Institute for Information \& communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No.2017-0-00655), by the MSIT (Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program (IITP-2020-0-01489), Publisher Copyright: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2021",

month = oct,

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doi = "10.3390/ijerph182010564",

language = "English",

volume = "18",

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AU - Abbas, Asim

AU - Afzal, Muhammad

AU - Hussain, Jamil

AU - Ali, Taqdir

AU - Bilal, Hafiz Syed Muhammad

AU - Lee, Sungyoung

AU - Jeon, Seokhee

N1 - Funding Information: Institutional Review Board Statement: Promotion (IITP) grant funded by the Korea government (MSIT) (No.2017-0-00655), by the MSIT (Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program (IITP2020-0-01489), (IITP-2021-0-00979) supervised by the IITP (Institute for Information & communications Technology Planning & Evaluation) NRF-2016K1A3A7A03951968 and NRF2019R1A2C2090504. Funding Information: Funding: This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2017-0-01629) supervised by the IITP (Institute for Information & communications Technology Promotion)”, by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No.2017-0-00655), by the MSIT (Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program (IITP2020-0-01489) supervised by the IITP (Institute for Information & communications Technology Planning & Evaluation) NRF-2016K1A3A7A03951968 and NRF2019R1A2C2090504. Funding Information: supervised by the IITP (Institute for Information & communications Technology Promotion), by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No.2017-0-00655), by the MSIT (Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program (IITP-2020-0-01489), Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

PY - 2021/10/1

Y1 - 2021/10/1

KW - Clinical concept extraction

KW - Data annotation

KW - Lexical semantics

KW - Medical concept classifica-tion

KW - Rule-based systems

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JO - International Journal of Environmental Research and Public Health

JF - International Journal of Environmental Research and Public Health

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Clinical concept extraction with lexical semantics to support automatic annotation

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