Federico Cismondi

Reducing unnecessary lab testing in the ICU with artificial intelligence

João Miguel da Costa Sousa, Susana M. Vieira, Stan N. Finkelstein, 2013, Int. J. Medical Informatics.

Missing data in medical databases: Impute, delete or classify?

João Miguel da Costa Sousa, Susana M. Vieira, Stan N. Finkelstein, 2013, Artif. Intell. Medicine.

Mortality prediction of septic shock patients using probabilistic fuzzy systems

Uzay Kaymak, Rui Jorge Almeida, João Miguel da Costa Sousa, 2016, Appl. Soft Comput..

Multi-stage modeling using fuzzy multi-criteria feature selection to improve survival prediction of ICU septic shock patients

João Miguel da Costa Sousa, Abigail L. Horn, Susana M. Vieira, 2012, Expert Syst. Appl..

Predicting laboratory testing in intensive care using fuzzy and neural modeling

João Miguel da Costa Sousa, Susana M. Vieira, Stan N. Finkelstein, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

Computational intelligence methods for processing misaligned, unevenly sampled time series containing missing data

João Miguel da Costa Sousa, Susana M. Vieira, Stan N. Finkelstein, 2011, 2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM).

Predicting Outcomes of Septic Shock Patients Using Feature Selection Based on Soft Computing Techniques

João Miguel da Costa Sousa, Susana M. Vieira, Stan N. Finkelstein, 2010, IPMU.

Multi-Objective Performance Evaluation Using Fuzzy Criteria: Increasing Sensitivity Prediction for Outcome of Septic Shock Patients

Abigail L. Horn, Susana M. Vieira, Stan N. Finkelstein, 2011 .

The effect of age and clinical circumstances on the outcome of red blood cell transfusion in critically ill patients

Leo Anthony Celi, Mengling Feng, Federico Cismondi, 2014, Critical Care.

Fuzzy modeling to predict administration of vasopressors in intensive care unit patients

João Miguel da Costa Sousa, Susana M. Vieira, Stan N. Finkelstein, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).