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 - October 12, 2014 Category: Bioinformatics Source Type: research