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An Empirical Analysis of Topic Modeling for Mining Cancer Clinical Notes

Katherine Redfield Chang, Xinghua Lou, Theofanis Karaletsos, Christopher Crosbie, Stuart Gardos, David Artz, Gunnar Rätsch
doi: https://doi.org/10.1101/062307
Katherine Redfield Chang
1Computational Biology Center, Memorial Sloan-Kettering Cancer Center New York, NY USA
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Xinghua Lou
1Computational Biology Center, Memorial Sloan-Kettering Cancer Center New York, NY USA
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Theofanis Karaletsos
1Computational Biology Center, Memorial Sloan-Kettering Cancer Center New York, NY USA
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Christopher Crosbie
2Information Systems, Memorial Sloan-Kettering Cancer Center New York, NY USA
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Stuart Gardos
2Information Systems, Memorial Sloan-Kettering Cancer Center New York, NY USA
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David Artz
2Information Systems, Memorial Sloan-Kettering Cancer Center New York, NY USA
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Gunnar Rätsch
1Computational Biology Center, Memorial Sloan-Kettering Cancer Center New York, NY USA
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Article Information

doi 
https://doi.org/10.1101/062307
History 
  • July 6, 2016.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.

Author Information

  1. Katherine Redfield Chang1,
  2. Xinghua Lou1,
  3. Theofanis Karaletsos1,
  4. Christopher Crosbie2,
  5. Stuart Gardos2,
  6. David Artz2 and
  7. Gunnar Rätsch1
  1. 1Computational Biology Center, Memorial Sloan-Kettering Cancer Center New York, NY USA
  2. 2Information Systems, Memorial Sloan-Kettering Cancer Center New York, NY USA
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Posted July 06, 2016.
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An Empirical Analysis of Topic Modeling for Mining Cancer Clinical Notes
Katherine Redfield Chang, Xinghua Lou, Theofanis Karaletsos, Christopher Crosbie, Stuart Gardos, David Artz, Gunnar Rätsch
bioRxiv 062307; doi: https://doi.org/10.1101/062307
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An Empirical Analysis of Topic Modeling for Mining Cancer Clinical Notes
Katherine Redfield Chang, Xinghua Lou, Theofanis Karaletsos, Christopher Crosbie, Stuart Gardos, David Artz, Gunnar Rätsch
bioRxiv 062307; doi: https://doi.org/10.1101/062307

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