Adapting machine learning techniques to censored time-to-event health record data: A general-purpose approach using inverse probability of censoring weighting - Vock, David M.; Wolfson, Julian; Bandyopadhyay, Sunayan; Adomavicius, Gediminas; Johnson, Paul E.; Vazquez-Benitez, Gabriela; O’Connor, Patrick J. (Journal of biomedical informatics, 2016)
Keywords: Algorithms; Bayes Theorem; Censored data; Cluster Analysis; Electronic health data; Electronic Health Records; Frames; Health; Health care; Humans; Inverse; Inverse probability weighting; Machine Learning; Mathematical models; Patients; Probability; Risk prediction; Survival analysis; Weighting; Censored data; Electronic health data; Inverse probability weighting; Survival analysis; Risk prediction; Machine learning