A study of the effectiveness of machine learning methods for classification of clinical interview fragments into a large number of categories

Mehedi Hasan, Alexander Kotov, April Idalski Carcone, Ming Dong, Sylvie Naar, Kathryn Brogan Hartlieb. A study of the effectiveness of machine learning methods for classification of clinical interview fragments into a large number of categories. Journal of Biomedical Informatics, 62:21-31, 2016. [doi]

@article{HasanKCDNH16,
  title = {A study of the effectiveness of machine learning methods for classification of clinical interview fragments into a large number of categories},
  author = {Mehedi Hasan and Alexander Kotov and April Idalski Carcone and Ming Dong and Sylvie Naar and Kathryn Brogan Hartlieb},
  year = {2016},
  doi = {10.1016/j.jbi.2016.05.004},
  url = {http://dx.doi.org/10.1016/j.jbi.2016.05.004},
  researchr = {https://researchr.org/publication/HasanKCDNH16},
  cites = {0},
  citedby = {0},
  journal = {Journal of Biomedical Informatics},
  volume = {62},
  pages = {21-31},
}