Xie, J., Liu, X., & Dajun Zeng, D. (2018). Mining e-cigarette adverse events in social media using Bi-LSTM recurrent neural network with word embedding representation. Journal of the American Medical Informatics Association : JAMIA, 25(1), 72-80. https://doi.org/10.1093/jamia/ocx045
Chicago Style (17th ed.) CitationXie, Jiaheng, Xiao Liu, and Daniel Dajun Zeng. "Mining E-cigarette Adverse Events in Social Media Using Bi-LSTM Recurrent Neural Network with Word Embedding Representation." Journal of the American Medical Informatics Association : JAMIA 25, no. 1 (2018): 72-80. https://doi.org/10.1093/jamia/ocx045.
MLA (9th ed.) CitationXie, Jiaheng, et al. "Mining E-cigarette Adverse Events in Social Media Using Bi-LSTM Recurrent Neural Network with Word Embedding Representation." Journal of the American Medical Informatics Association : JAMIA, vol. 25, no. 1, 2018, pp. 72-80, https://doi.org/10.1093/jamia/ocx045.