Linguistic and statistically derived features for cause of death prediction from verbal autopsy text

Danso, S, Atwell, E orcid.org/0000-0001-9395-3764 and Johnson, O (2013) Linguistic and statistically derived features for cause of death prediction from verbal autopsy text. In: Gurevych, I, Biemann, C and Zesch, T, (eds.) Language Processing and Knowledge in the Web. 25th International Conference, GSCL, 25-27 Sep 2013, Darmstadt, Germany. Lecture Notes in Artificial Intelligence (8105). Springer , pp. 47-60. ISBN 978-3-642-40721-5

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Copyright, Publisher and Additional Information: © 2013, Springer-Verlag Berlin Heidelberg. This is an author produced version of a paper published in Language Processing and Knowledge in the Web. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-40722-2_5. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Verbal Autopsy; Cause of Death Prediction; Features; Text Classification
Dates:
  • Published: 2013
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 11 Aug 2016 13:12
Last Modified: 19 Jan 2018 13:04
Published Version: http://dx.doi.org/10.1007/978-3-642-40722-2
Status: Published
Publisher: Springer
Series Name: Lecture Notes in Artificial Intelligence
Identification Number: https://doi.org/10.1007/978-3-642-40722-2_5

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