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Rule based classifiers for diagnosis of mechanical ventilation in Guillain-Barré Syndrome.

, , and . DCAI, volume 620 of Advances in Intelligent Systems and Computing, page 181-188. Springer, (2017)

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Clasificadores basados en reglas y selección de atributos para el diagnóstico clínico de subtipos del Síndrome de Guillain-Barré., , , , and . Res. Comput. Sci., 149 (8): 41-53 (2020)A Kernel-Based Predictive Model for Guillain-Barré Syndrome., , , and . MICAI (2), volume 9414 of Lecture Notes in Computer Science, page 270-281. Springer, (2015)Towards a predictive model for Guillain-Barré syndrome., , , and . EMBC, page 7234-7237. IEEE, (2015)Bacterial Foraging Optimization Algorithm for Menu Planning., , , , and . IEEE Access, (2018)JMetaBFOP: A tool for solving global optimization problems., , , and . SoftwareX, (July 2023)Prediction of Metabolic Syndrome in a Mexican Population Applying Machine Learning Algorithms., , , and . Symmetry, 12 (4): 581 (2020)Feature Selection for Better Identification of Subtypes of Guillain-Barré Syndrome., , , and . Comput. Math. Methods Medicine, (2014)A Predictive Model for Guillain-Barré Syndrome Based on Ensemble Methods., , , and . Comput. Intell. Neurosci., (2018)Rule based classifiers for diagnosis of mechanical ventilation in Guillain-Barré Syndrome., , and . DCAI, volume 620 of Advances in Intelligent Systems and Computing, page 181-188. Springer, (2017)Supervised Deep Learning Techniques for Image Description: A Systematic Review., , , and . Entropy, 25 (4): 553 (April 2023)