Hybrid Computational Intelligence for Handling Diagnosis of Aphasia

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Tsakonas:2001:EUNITEa,

• title = "Hybrid Computational Intelligence for Handling Diagnosis of Aphasia",
• author = "Athanasios Tsakonas and Georgios Dounias and Diedrich {Graf Von Keyserlingk} and Hubertus Axer",
• booktitle = "Proceedings of the CD-rom EUNITE-01, European Symposium on Intelligent Technologies, Hybrid Systems and their Implementation on Smart Adaptive Systems Verlag-Mainz",
• year = "2001",
• address = "Tenerife, Spain",
• keywords = "genetic algorithms, genetic programming, hybrid computational intelligence, medical diagnosis, aphasia, Aachen Aphasia Test",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.148.5734",
• bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",
• contributor = "CiteSeerX",
• language = "en",
• oai = "oai:CiteSeerXPSU:10.1.1.148.5734",
• abstract = "This paper presents two models based on hybrid computational intelligence, for the classification between different types of aphasia. Aphasia is a human syndrome, often due to brain damage. Its effects usually are the patient's disability in the usage or comprehension of words, as well as difficulties in reading, or writing, or articulation. The proposed methodology is mainly related to genetic programming, an extension to the well-known genetic algorithms approach. As a search methodology, genetic programming is used in various domains, where symbolic regression is needed. The hybrid methodology consists of the genetic programming approach and a heuristic rule-based scheme. The data used are nominal and ordinal, corresponding to patient scorings valued in free interviews by physicians. In most cases, the results are competitive to the average human diagnosis. Moreover, they are comprehensive by human experts, enabling them to draw conclusions on the significance of the patient scorings. The subjective nature of the application domain, focuses the interest of the paper into the acquired results, their interpretation and their practical importance for the medical experts.",
• notes = "broken http://www.elite-foundation.org/ELITE/programme%202001.htm",

}

Genetic Programming entries for Athanasios D Tsakonas Georgios Dounias Diedrich Graf von Keyserlingk Hubertus Axer

Citations