Automatic classification of epilepsy types using ontology-based and genetics-based machine learning

Conclusion: Our results demonstrate that the developed methods form important ingredients for realizing a fully automatic classification of epilepsy types and can contribute to the definition of signs that are most important for the classification.

Source: Artificial Intelligence in Medicine - April 17, 2014 Category: Bioinformatics Authors: Yohannes Kassahun, Roberta Perrone, Elena De Momi, Elmar Berghöfer, Laura Tassi, Maria Paola Canevini, Roberto Spreafico, Giancarlo Ferrigno, Frank Kirchner Tags: Research Articles Source Type: research