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Predicting intensive care unit readmissions using probabilistic fuzzy systems., , , , , , and . FUZZ-IEEE, page 1-7. IEEE, (2013)Computational intelligence methods for processing misaligned, unevenly sampled time series containing missing data., , , , , , and . CIDM, page 224-231. IEEE, (2011)Mortality prediction of septic shock patients using probabilistic fuzzy systems., , , , , , , and . Appl. Soft Comput., (2016)Addressing health information privacy with a novel cloud-based PHR system architecture., , , and . SMC, page 1841-1846. IEEE, (2012)Data mining and modeling to predict the necessity of vasopressors for ICU patients., , , , and . FUZZ-IEEE, page 1-6. IEEE, (2013)Fuzzy modeling to predict administration of vasopressors in intensive care unit patients., , , , , , , and . FUZZ-IEEE, page 2296-2303. IEEE, (2011)Reducing unnecessary lab testing in the ICU with artificial intelligence., , , , , , and . Int. J. Medical Informatics, 82 (5): 345-358 (2013)Predicting laboratory testing in intensive care using fuzzy and neural modeling., , , , , , , and . FUZZ-IEEE, page 2096-2103. IEEE, (2011)Missing data in medical databases: Impute, delete or classify?, , , , , and . Artif. Intell. Medicine, 58 (1): 63-72 (2013)Predicting Outcomes of Septic Shock Patients Using Feature Selection Based on Soft Computing Techniques., , , , , , and . IPMU (2), volume 81 of Communications in Computer and Information Science, page 65-74. Springer, (2010)