Adapting machine learning techniques to censored time-to-event health record data: A general-purpose approach using inverse probability of censoring weighting. Vock, D. M., Wolfson, J., Bandyopadhyay, S., Adomavicius, G., Johnson, P. E., Vazquez-Benitez, G., & O'Connor, P. J. J. Biomed. Informatics, 61:119-131, 2016.
Adapting machine learning techniques to censored time-to-event health record data: A general-purpose approach using inverse probability of censoring weighting. [link]Link  Adapting machine learning techniques to censored time-to-event health record data: A general-purpose approach using inverse probability of censoring weighting. [link]Paper  bibtex   
@article{journals/jbi/VockWBAJVO16,
  added-at = {2021-02-16T00:00:00.000+0100},
  author = {Vock, David M. and Wolfson, Julian and Bandyopadhyay, Sunayan and Adomavicius, Gediminas and Johnson, Paul E. and Vazquez-Benitez, Gabriela and O'Connor, Patrick J.},
  biburl = {https://www.bibsonomy.org/bibtex/2e397c547c5ade3e2b812cf0334d94bdc/dblp},
  ee = {https://www.wikidata.org/entity/Q31060694},
  interhash = {83e0427f0d46348944e7bbdb17cb88c8},
  intrahash = {e397c547c5ade3e2b812cf0334d94bdc},
  journal = {J. Biomed. Informatics},
  keywords = {dblp},
  pages = {119-131},
  timestamp = {2024-04-09T05:04:19.000+0200},
  title = {Adapting machine learning techniques to censored time-to-event health record data: A general-purpose approach using inverse probability of censoring weighting.},
  url = {http://dblp.uni-trier.de/db/journals/jbi/jbi61.html#VockWBAJVO16},
  volume = 61,
  year = 2016
}

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