@InProceedings{bhatia-EtAl:2017:BioNLP17,
  author    = {Bhatia, Archna  and  Dorr, Bonnie  and  Hollingshead, Kristy  and  Phillips, Samuel L.  and  McKenzie, Barbara},
  title     = {Characterization of Divergence in Impaired Speech of ALS Patients},
  booktitle = {BioNLP 2017},
  month     = {August},
  year      = {2017},
  address   = {Vancouver, Canada,},
  publisher = {Association for Computational Linguistics},
  pages     = {149--158},
  abstract  = {Approximately 80% to 95% of patients with Amyotrophic Lateral Sclerosis (ALS)
	eventually develop speech impairments, such as defective articulation, slow
	laborious speech and hypernasality. The relationship between impaired speech
	and asymptomatic speech may be seen as a divergence from a baseline. This
	relationship can be characterized in terms of measurable combinations of
	phonological characteristics that are indicative of the degree to which the two
	diverge. We demonstrate that divergence measurements based on phonological
	characteristics of speech correlate with physiological assessments of ALS.
	Speech-based assessments offer benefits over commonly-used physiological
	assessments in that they are inexpensive, non-intrusive, and do not require
	trained clinical personnel for administering and interpreting the results.},
  url       = {http://www.aclweb.org/anthology/W17-2318}
}