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.
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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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