Analysis of the Procedure of Realization AND the Significance of Bi-Clustering in Medical Text Mining

Corresponding author: Yang Ying, yingyang80@126.com

DOI: 10.12201/bmr.202012.00003

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  Abstract: Purpose: To the procedure of realization AND the significance of bi-clustering in medical text mining in order to promote the wide range of bi-clustering in medical data mining application development. Methods: By introducing the concept and basic principles of bi-clustering, the status of development at home and abroad is investigated. List the use of bi-clustering tools and methods, and show the specific implementation process of bi-clustering in data mining through cases. Results: Through the case, the significance of the bi-clustering method in medical text mining is obtained, and finally the application prospect of the bi-clustering is proposed. Conclusion: Bi-clustering has broad development prospects in the field of medicine, especially in the field of biology, helping medical researchers to effectively analyze massive amounts of data and generate valuable knowledge and novel insights with higher efficiency.

  Key words: Text Mining; Bi-Clustering; gCLUTO; PubMR

  Submit time: 17 December 2020

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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