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Comparison of Multi-class Machine Learning Methods for the Identification of Factors Most Predictive of Prognosis in Neurobehavioral assessment of Pediatric Severe Disorder of Consciousness through LOCFAS scale

Title: Comparison of Multi-class Machine Learning Methods for the Identification of Factors Most Predictive of Prognosis in Neurobehavioral assessment of Pediatric Severe Disorder of Consciousness through LOCFAS scale
Authors: Molteni, Erika; Colombo, Katia; Beretta, Elena; Galbiati, Susanna; Santos Canas, Liane Dos; Modat, Marc; Strazzer, Sandra
Source: 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Engineering in Medicine and Biology Society (EMBC), 2019 41st Annual International Conference of the IEEE. :269-272 Jul, 2019
Relation: 2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Database: IEEE Xplore Digital Library