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Patients on Weaning Trials from Mechanical Ventilation Classified with Neural Networks and Feature Selection.

, , , , , , and . EMBC, page 2195-2198. IEEE, (2006)

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Brain tumour classification using Gaussian decomposition and neural networks., , , and . EMBC, page 5645-5648. IEEE, (2011)Design of an Automatic System to Determine the Degree of Progression of Diabetic Retinopathy., , and . IntelliSys (2), volume 1251 of Advances in Intelligent Systems and Computing, page 35-44. Springer, (2020)Frequency Selection for the Diagnostic Characterization of Human Brain Tumours., , and . CCIA, volume 202 of Frontiers in Artificial Intelligence and Applications, page 391-398. IOS Press, (2009)Patients Classification on Weaning Trials Using Neural Networks and Wavelet Transform., , , and . ICIMTH, volume 202 of Studies in Health Technology and Informatics, page 107-110. IOS Press, (2014)Patients on Weaning Trials from Mechanical Ventilation Classified with Neural Networks and Feature Selection., , , , , , and . EMBC, page 2195-2198. IEEE, (2006)Design and Experimental Validation of Adaptive Fuzzy PID Controller for a Three Degrees of Freedom Helicopter., , , , and . FUZZ-IEEE, page 1-6. IEEE, (2018)Analysis of Respiratory Flow Signals to Identify Success of Patients on Weaning Trials., , and . IWBBIO, page 789-797. Copicentro Editorial, (2014)Support Vector Machine Classification Applied on Weaning Trials Patients., , , , , , and . EMBC, page 5587-5590. IEEE, (2006)Nonlinear dynamic analysis of the cardiorespiratory system in patients undergoing the weaning process., , , , and . EMBC, page 3493-3496. IEEE, (2017)Design of a Classifier to Determine the Optimal Moment of Weaning of Patients undergoing to the T-tube Test., , and . EMBC, page 422-425. IEEE, (2022)