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Corrigendum to "Severe sepsis mortality prediction with logistic regression over latent factors" Expert Systems with Applications 39 (2) (2012) 1937-1943.

, , , and . Expert Syst. Appl., 39 (18): 13552 (2012)

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Severe sepsis mortality prediction with relevance vector machines., , , , , , and . EMBC, page 100-103. IEEE, (2011)Applying Conditional Independence Maps to Improve Sepsis Prognosis., , and . ICDM Workshops, page 254-260. IEEE Computer Society, (2016)Re-Identification and Growth Detection of Pulmonary Nodules without Image Registration Using 3D Siamese Neural Networks., , , , , , and . CoRR, (2019)Integration of Convolutional Neural Networks for Pulmonary Nodule Malignancy Assessment in a Lung Cancer Classification Pipeline., , , , , and . CoRR, (2019)On the intelligent management of sepsis in the intensive care unit.. Polytechnic University of Catalonia, Spain, (2013)On the Use of Graphical Models to Study ICU Outcome Prediction in Septic Patients Treated with Statins., , , , , , and . CIBB, volume 7548 of Lecture Notes in Computer Science, page 98-111. Springer, (2011)Big Data Analytics for Obesity Prediction., , and . CCIA, volume 308 of Frontiers in Artificial Intelligence and Applications, page 141-145. IOS Press, (2018)Machine Learning for Critical Care: An Overview and a Sepsis Case Study., , , , and . IWBBIO (1), volume 10208 of Lecture Notes in Computer Science, page 15-30. (2017)Re-Identification and growth detection of pulmonary nodules without image registration using 3D siamese neural networks., , , , , , and . Medical Image Anal., (2021)Class Imbalance Impact on the Prediction of Complications during Home Hospitalization: A Comparative Study., , , , , , and . EMBC, page 3446-3449. IEEE, (2019)