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Trends and Techniques of Biomedical Text Mining: A Review

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Intelligent Computing & Optimization (ICO 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 371))

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Abstract

Data mining is the technique of turning raw data into useful information. This technique is used in many research fields for discovering the patterns from large dataset. This article deals with discussing the application of data mining process in the field of Biomedical Text Mining. Biomedical text mining (BTM) aims at processing the enormous volume of biological literature to extract useful information. This paper presents a review on the challenges and contributions of research works on biomedical text mining held from 2003 to 2020. Furthermore, we discussed their methodology, the datasets they utilized to evaluate work, and also their findings. Finally, we summarized the impact of their works followed by a discussion on limitations and difficulties.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Chittagong University of Engineering and Technology Chittagong, Chittagong, 4349, Bangladesh

    Maliha Rashida, Fariha Iffath & Mohammad Shamsul Arefin

  2. Department of Computer Science and Engineering, University of Chittagong, Chittagong, 4331, Bangladesh

    Rezaul Karim

Authors
  1. Maliha Rashida
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  2. Fariha Iffath
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  3. Rezaul Karim
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  4. Mohammad Shamsul Arefin
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Corresponding author

Correspondence to Mohammad Shamsul Arefin .

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Editors and Affiliations

  1. Faculty of Electrical & Electronic Engineering, MERLIN Research Centre, Ton Duc Thang University, Hồ Chí Minh City, Vietnam

    Pandian Vasant

  2. Faculty of Electrical Engineering and Computer Science, VŠB TU Ostrava, Ostrava-Poruba, Czech Republic

    Ivan Zelinka

  3. Faculty of Engineering Management, Poznan University of Technology, Poznan, Poland

    Gerhard-Wilhelm Weber

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Rashida, M., Iffath, F., Karim, R., Arefin, M.S. (2022). Trends and Techniques of Biomedical Text Mining: A Review. In: Vasant, P., Zelinka, I., Weber, GW. (eds) Intelligent Computing & Optimization. ICO 2021. Lecture Notes in Networks and Systems, vol 371. Springer, Cham. https://doi.org/10.1007/978-3-030-93247-3_92

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