123
Views
1
CrossRef citations to date
0
Altmetric
Articles

The Text Mining and Classification Analyses of Tumor Based on Twitter

ORCID Icon

REFERENCES

  • J. Dou, et al., “Overexpression of microRna-200c in CD44+ CD133+ CSCS inhibits the cellular migratory and invasion as well as tumorigenicity in mice,” Cell. Mol. Biol., Vol. 59, pp. OL1861–8, 2013.
  • J. Wang, et al., “A preliminary investigation of the relationship between circulating tumor cells and cancer stem cells in patients with breast cancer,” Cell. Mol. Biol., Vol. 58, pp. OL1641–5, 2012.
  • E. Khokhlovich, et al., “RAMP: A bioinformatics framework for researching imaging agents through molecular pathways,” Mol. Imaging, Vol. 12, no.  1, pp. 2–7, 2013.
  • F. Zhu, et al., “Biomedical text mining and its applications in cancer research,” J. Biomed. Inform., Vol. 46, no.  2, pp. 200–11, 2013.
  • C. Wu, J.-M. Schwartz, G. Brabant, and G. Nenadic, “Molecular profiling of thyroid cancer subtypes using large-scale text mining,” BMC Med. Genom., Vol. 7, no.  S3, pp. S3, 2014.
  • K. Zheng, Y. Geng, M. Jiang, X. He, and G. Zheng, “Exploring basic treatment principles for liver cancer within Chinese herbal medicine through text mining,” in 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Belfast, UK, 2014, pp. 225–228.
  • J.-F. Chang, M. Popescu, and G. L. Arthur, “Automated extraction of precise protein expression patterns in lymphoma by text mining abstracts of immunohistochemical studies,” J. Pathol. Inform., Vol. 4, pp. 4–20, 2013.
  • C. Castillo, M. Mendoza, and B. Poblete, “Information credibility on Twitter,” Proceedings of 20th International Conference on Companion World Wide Web, WWW 2011, 2011, pp. 675–684. DOI:10.1145/1963405.1963500.
  • S. M. Weiss, N. Indurkhya, T. Zhang, and F. Damerau, Text Mining: Predictive Methods for Analyzing Unstructured Information. New York: Springer Science & Business Media, 2010.
  • T. Fujita, et al., “Relationship between the number of samples and the accuracy of the prediction model for dressing independence using artificial neural networks in stroke patients,” Jpn. J. Compr. Rehabil. Sci., Vol. 11, pp. 28–34, 2020. DOI:10.11336/jjcrs.11.28.
  • L. Breiman, “Random forests,” Mach. Learn., Vol. 45, no.  1, pp. 5–32, 2001.
  • A. Liaw, M. Wiener, et al., “Classification and regression by randomForest,” R News., Vol. 2, no.  3, pp. 18–22, 2002.
  • Y. Freund, R. Schapire, and N. Abe, “A short introduction to boosting,” J. Jpn. Soc. Artif. Intell., Vol. 14, no.  771–780, pp. 1612, 1999.
  • Y. Shin, D. W. Kim, S. W. Yang, H. H. Cho, and K. I. Kang, “Decision support model using the AdaBoost algorithm to select formwork systems in high-rise building construction,” in 25th International Symposium on Automation and Robotics in Construction, ISARC 2008, Vilnius, Lituania, 2008, pp. 644–649.
  • S. H. Wu, and J. J. Guo, “The study of classification analysis on oil exploration research trends and digging technology based on properties of biochemical materials (2012–2013),” Adv. Mater. Res., Vol. 859, pp. 280–3, 2014. doi:10.4028/www.scientific.net/AMR.859.280.
  • P. Viola, and M. Jones, “Rapid object detection using a boosted cascade of simple features,” in Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, Kauai, HI, 2001, pp. 1, I–I.
  • W.-T. Pan, “A new Fruit Fly Optimization Algorithm: Taking the financial distress model as an example,” Knowl. Based Syst., Vol. 26, pp. 69–74, 2012.
  • P. Wen-Chao, “Using Fruit Fly Optimization Algorithm optimized general regression neural network to construct the operating performance of enterprises model,” J. Taiyuan Univ. Technol, Vol. 4, pp. 1–5, 2011.
  • W.-Y. Lin, “A novel 3D Fruit Fly Optimization Algorithm and its applications in economics,” Neural Comput. Appl., Vol. 27, no.  5, pp. 1391–413, 2016.
  • W.-Y. Lin, and T.-H. Huang, “A hybrid approach of 3-D Fruit Fly Optimization Algorithm and general regression neural network for financial distress forecasting,” Int. J. Digit. Content Technol. Its Appl., Vol. 8, no.  4, pp. 1, 2014.
  • S. Wu, “The application of 3D Fruit Fly Optimization Algorithm to the keywords analysis of Macau’s international relations,” Intell. Autom. Soft Comput., Vol. 23, no.  3, pp. 469–74, 2017. DOI:10.1080/10798587.2016.1254383.
  • S. Wu, and Y. Shi, “The study on keywords frequency composite function of public opinion toward Macau’s gambling industry: Using the Fruit Fly Optimization Algorithm,” in 2013 International Conference on Engineering, Management Science and Innovation (ICEMSI), Macau, China, 2013, pp. 1–3.
  • M. Jdrzejewski, C. Thallinger, M. Mrozik, G. Kornek, C. Zielinski, and J. Jassem, “Public perception of cancer care in Poland and Austria,” Oncologist, Vol. 20, no.  1, pp. 28, 2015.
  • M. Bakitas, K. D. Lyons, M. T. Hegel, and T. Ahles, “Oncologists’ perspectives on concurrent palliative care in a national cancer institute-designated comprehensive cancer center,” Palliat. Support. Care, Vol. 11, no.  5, pp. 415–23, 2013.
  • P. Butow, et al., “Assessment of the value of tumor variation profiling perceived by patients with cancer,” JAMA Netw. Open, Vol. 3, no.  5, pp. e204721–e204721, May 2020. DOI:10.1001/jamanetworkopen.2020.4721.
  • K. Kamenova, A. Reshef, and T. Caulfield, “Angelina Jolie’s faulty gene: Newspaper coverage of a celebrity’s preventive bilateral mastectomy in Canada, the United States, and the United Kingdom,” Genet. Med., Vol. 16, no.  7, pp. 522–8, 2014.
  • R. M. Kaplan, D. A. Chambers, and R. E. Glasgow, “Big data and large sample size: A cautionary note on the potential for bias,” Clin. Transl. Sci., Vol. 7, no.  4, pp. 342–6, 2014.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.