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Journal of Healthcare Engineering
Volume 2017, Article ID 2460174, 12 pages
https://doi.org/10.1155/2017/2460174
Research Article

An Interpretable Classification Framework for Information Extraction from Online Healthcare Forums

1Department of Computer Science and Engineering, Texas A&M University, College Station, TX, USA
2Department of Industrial and Systems Engineering, Texas A&M University, College Station, TX, USA
3Center for Remote Health Technologies and Systems, Texas A&M Engineering Experiment Station, College Station, TX, USA

Correspondence should be addressed to Jun Gao; ude.umat@oag.nuj

Received 15 April 2017; Accepted 29 May 2017; Published 3 August 2017

Academic Editor: Cui Tao

Copyright © 2017 Jun Gao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [2 citations]

The following is the list of published articles that have cited the current article.

  • Mengnan Du, Ninghao Liu, Qingquan Song, and Xia Hu, “Towards Explanation of DNN-based Prediction with Guided Feature Inversion,” Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining - KDD '18, pp. 1358–1367, . View at Publisher · View at Google Scholar
  • Sankhadeep Chatterjee, Nilanjan Dey, Fuqian Shi, Amira S. Ashour, Simon James Fong, and Soumya Sen, “Clinical application of modified bag-of-features coupled with hybrid neural-based classifier in dengue fever classification using gene expression data,” Medical & Biological Engineering & Computing, 2017. View at Publisher · View at Google Scholar