A Survey of Current Work in Medical Text Mining---Data Source Perspective

Li Yanhong; Song Anmeng; Wang Jingling

doi:doi:10.11648/j.ijbse.20170503.13

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A Survey of Current Work in Medical Text Mining---Data Source Perspective

Li Yanhong, Song Anmeng, Wang Jingling

Received: 12 September 2017 Accepted: Published: 14 September 2017

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Abstract

This paper discusses the application of text mining in medical field at home and abroad based on overview and analysis of current literature data. Foreign researchers have specific text mining tools, and they use it in the search engine data and electronic medical record. In addition, it is also used to predict side effects between drugs. In China, text mining based on medical literature data occupies a large part. On the one hand, they can monitor the self disclosure of health information. On the other hand, they explore whether online information can help individuals get out of the disease. With the development of information technology, text mining will become more and more widely applied in the medical field in the future.

DOI	10.11648/j.ijbse.20170503.13
Published in	International Journal of Biomedical Science and Engineering (Volume 5, Issue 3, June 2017)
Page(s)	29-34
Creative Commons	This is an Open Access article, 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 or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Medical Field, Text Mining, Data Source

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APA Style

Li Yanhong, Song Anmeng, Wang Jingling. (2017). A Survey of Current Work in Medical Text Mining---Data Source Perspective. International Journal of Biomedical Science and Engineering, 5(3), 29-34. https://doi.org/10.11648/j.ijbse.20170503.13

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ACS Style

Li Yanhong; Song Anmeng; Wang Jingling. A Survey of Current Work in Medical Text Mining---Data Source Perspective. Int. J. Biomed. Sci. Eng. 2017, 5(3), 29-34. doi: 10.11648/j.ijbse.20170503.13

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AMA Style

Li Yanhong, Song Anmeng, Wang Jingling. A Survey of Current Work in Medical Text Mining---Data Source Perspective. Int J Biomed Sci Eng. 2017;5(3):29-34. doi: 10.11648/j.ijbse.20170503.13

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@article{10.11648/j.ijbse.20170503.13,
  author = {Li Yanhong and Song Anmeng and Wang Jingling},
  title = {A Survey of Current Work in Medical Text Mining---Data Source Perspective},
  journal = {International Journal of Biomedical Science and Engineering},
  volume = {5},
  number = {3},
  pages = {29-34},
  doi = {10.11648/j.ijbse.20170503.13},
  url = {https://doi.org/10.11648/j.ijbse.20170503.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijbse.20170503.13},
  abstract = {This paper discusses the application of text mining in medical field at home and abroad based on overview and analysis of current literature data. Foreign researchers have specific text mining tools, and they use it in the search engine data and electronic medical record. In addition, it is also used to predict side effects between drugs. In China, text mining based on medical literature data occupies a large part. On the one hand, they can monitor the self disclosure of health information. On the other hand, they explore whether online information can help individuals get out of the disease. With the development of information technology, text mining will become more and more widely applied in the medical field in the future.},
 year = {2017}
}

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TY  - JOUR
T1  - A Survey of Current Work in Medical Text Mining---Data Source Perspective
AU  - Li Yanhong
AU  - Song Anmeng
AU  - Wang Jingling
Y1  - 2017/09/14
PY  - 2017
N1  - https://doi.org/10.11648/j.ijbse.20170503.13
DO  - 10.11648/j.ijbse.20170503.13
T2  - International Journal of Biomedical Science and Engineering
JF  - International Journal of Biomedical Science and Engineering
JO  - International Journal of Biomedical Science and Engineering
SP  - 29
EP  - 34
PB  - Science Publishing Group
SN  - 2376-7235
UR  - https://doi.org/10.11648/j.ijbse.20170503.13
AB  - This paper discusses the application of text mining in medical field at home and abroad based on overview and analysis of current literature data. Foreign researchers have specific text mining tools, and they use it in the search engine data and electronic medical record. In addition, it is also used to predict side effects between drugs. In China, text mining based on medical literature data occupies a large part. On the one hand, they can monitor the self disclosure of health information. On the other hand, they explore whether online information can help individuals get out of the disease. With the development of information technology, text mining will become more and more widely applied in the medical field in the future.
VL  - 5
IS  - 3
ER  -

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Author Information

Li Yanhong

School of Information Management and Engineering, Shanghai University of Finance and Economics, Shanghai, China
Song Anmeng

School of Information Management and Engineering, Shanghai University of Finance and Economics, Shanghai, China
Wang Jingling

School of Information Management and Engineering, Shanghai University of Finance and Economics, Shanghai, China

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APA Style

Li Yanhong, Song Anmeng, Wang Jingling. (2017). A Survey of Current Work in Medical Text Mining---Data Source Perspective. International Journal of Biomedical Science and Engineering, 5(3), 29-34. https://doi.org/10.11648/j.ijbse.20170503.13

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ACS Style

Li Yanhong; Song Anmeng; Wang Jingling. A Survey of Current Work in Medical Text Mining---Data Source Perspective. Int. J. Biomed. Sci. Eng. 2017, 5(3), 29-34. doi: 10.11648/j.ijbse.20170503.13

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AMA Style

Li Yanhong, Song Anmeng, Wang Jingling. A Survey of Current Work in Medical Text Mining---Data Source Perspective. Int J Biomed Sci Eng. 2017;5(3):29-34. doi: 10.11648/j.ijbse.20170503.13

Copy | Download

@article{10.11648/j.ijbse.20170503.13,
  author = {Li Yanhong and Song Anmeng and Wang Jingling},
  title = {A Survey of Current Work in Medical Text Mining---Data Source Perspective},
  journal = {International Journal of Biomedical Science and Engineering},
  volume = {5},
  number = {3},
  pages = {29-34},
  doi = {10.11648/j.ijbse.20170503.13},
  url = {https://doi.org/10.11648/j.ijbse.20170503.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijbse.20170503.13},
  abstract = {This paper discusses the application of text mining in medical field at home and abroad based on overview and analysis of current literature data. Foreign researchers have specific text mining tools, and they use it in the search engine data and electronic medical record. In addition, it is also used to predict side effects between drugs. In China, text mining based on medical literature data occupies a large part. On the one hand, they can monitor the self disclosure of health information. On the other hand, they explore whether online information can help individuals get out of the disease. With the development of information technology, text mining will become more and more widely applied in the medical field in the future.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - A Survey of Current Work in Medical Text Mining---Data Source Perspective
AU  - Li Yanhong
AU  - Song Anmeng
AU  - Wang Jingling
Y1  - 2017/09/14
PY  - 2017
N1  - https://doi.org/10.11648/j.ijbse.20170503.13
DO  - 10.11648/j.ijbse.20170503.13
T2  - International Journal of Biomedical Science and Engineering
JF  - International Journal of Biomedical Science and Engineering
JO  - International Journal of Biomedical Science and Engineering
SP  - 29
EP  - 34
PB  - Science Publishing Group
SN  - 2376-7235
UR  - https://doi.org/10.11648/j.ijbse.20170503.13
AB  - This paper discusses the application of text mining in medical field at home and abroad based on overview and analysis of current literature data. Foreign researchers have specific text mining tools, and they use it in the search engine data and electronic medical record. In addition, it is also used to predict side effects between drugs. In China, text mining based on medical literature data occupies a large part. On the one hand, they can monitor the self disclosure of health information. On the other hand, they explore whether online information can help individuals get out of the disease. With the development of information technology, text mining will become more and more widely applied in the medical field in the future.
VL  - 5
IS  - 3
ER  -

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