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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)

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Predicting laboratory testing in intensive care using fuzzy and neural modeling., , , , , , , and . FUZZ-IEEE, page 2096-2103. IEEE, (2011)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)Predicting septic shock outcomes in a database with missing data using fuzzy modeling: Influence of pre-processing techniques on real-world data-based classification., , , , , , , , , and . FUZZ-IEEE, page 2507-2512. IEEE, (2011)Computational intelligence methods for processing misaligned, unevenly sampled time series containing missing data., , , , , , and . CIDM, page 224-231. IEEE, (2011)Network Analysis of Digital Crumbs from an Electronic Health Record: From newborns to adults, ideas to applications., , , , , , , and . AMIA, AMIA, (2012)Fuzzy modeling to predict administration of vasopressors in intensive care unit patients., , , , , , , and . FUZZ-IEEE, page 2296-2303. IEEE, (2011)