Using text mining to understand traditional Chinese medicine pathogenesis of nonalcoholic fatty liver disease

Hui-qin Zhang, Jian Li, Guang Zheng, Miao Jiang, Li Li, Yong Tan, Aiping Lu. Using text mining to understand traditional Chinese medicine pathogenesis of nonalcoholic fatty liver disease. In Guo-Zheng Li, Sunghoon Kim, Michael Hughes, Geoffrey J. McLachlan, Hongye Sun, Xiaohua Hu, Habtom W. Ressom, Baoyan Liu, Michael N. Liebman, editors, 2013 IEEE International Conference on Bioinformatics and Biomedicine, Shanghai, China, December 18-21, 2013. pages 311-314, IEEE, 2013. [doi]

@inproceedings{ZhangLZJLTL13,
  title = {Using text mining to understand traditional Chinese medicine pathogenesis of nonalcoholic fatty liver disease},
  author = {Hui-qin Zhang and Jian Li and Guang Zheng and Miao Jiang and Li Li and Yong Tan and Aiping Lu},
  year = {2013},
  doi = {10.1109/BIBM.2013.6732702},
  url = {http://dx.doi.org/10.1109/BIBM.2013.6732702},
  researchr = {https://researchr.org/publication/ZhangLZJLTL13},
  cites = {0},
  citedby = {0},
  pages = {311-314},
  booktitle = {2013 IEEE International Conference on Bioinformatics and Biomedicine, Shanghai, China, December 18-21, 2013},
  editor = {Guo-Zheng Li and Sunghoon Kim and Michael Hughes and Geoffrey J. McLachlan and Hongye Sun and Xiaohua Hu and Habtom W. Ressom and Baoyan Liu and Michael N. Liebman},
  publisher = {IEEE},
  isbn = {978-1-4799-1309-1},
}