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. Journal of Biomedical Informatics , 61:119 - 131, March 16, 2016.
Adapting machine learning techniques to censored time-to-event health record data: A general-purpose approach using inverse probability of censoring weighting [link]Paper  doi  bibtex   
@Article{Vock_2016_16837,
  author = {Vock, D. M. and Wolfson, J. and Bandyopadhyay, S. and Adomavicius, G. and Johnson, P. E. and Vazquez-Benitez, G. and O’Connor, P. J.},
 journal = {Journal of Biomedical Informatics },
 month = {March 16},
 pages = {119 - 131},
 title = {Adapting machine learning techniques to censored time-to-event health record data: A general-purpose approach using inverse probability of censoring weighting},
 volume = {61},
 year = {2016},
 issn = {1532-0464},
 keywords = {Survival analysis },
 url = {http://www.sciencedirect.com/science/article/pii/S1532046416000496},
 doi = {http://dx.doi.org/10.1016/j.jbi.2016.03.009},
 title_with_no_special_chars = {Adapting machine learning techniques to censored timetoevent health record data A generalpurpose approach using inverse probability of censoring weighting }
}

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