Molteni, Erika <br/><br/>
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.  [electronic resource] 

 -  Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference  Jul 2019 
 - 269-272 p.  digital 
<br/><br/> Publication Type: Comparative Study; Journal Article; Research Support, Non-U.S. Gov't 
<br/><br/><label>ISSN: </label>2694-0604 
<br/><br/><label>Standard No.: </label>10.1109/EMBC.2019.8856880  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Child<br/>Coma<br/>Consciousness<br/>Consciousness Disorders<br/>Humans<br/>Machine Learning<br/>Prognosis