Diagnosis Of Aphasia Using Neural And Fuzzy Techniques

Jan Jantzen; Hubertus Axer; Diedrich Graf von Keyserlingk

Diagnosis Of Aphasia Using Neural And Fuzzy Techniques

Jan Jantzen, Hubertus Axer, Diedrich Graf von Keyserlingk

Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

Abstract

The language disability aphasia has several sub-diagnoses such as Amnestic, Broca, Global, and Wernicke. Data concerning 265 patients is available in the form of test scores and diagnoses, made by physicians according to the Aachen Aphasia Test. A neural network model has been built, which is available for consultation on the World Wide Web. The neural network model is in this paper compared with a fuzzy model. Rather than concluding which method provides the best approximation, the paper acts as an example solution useful for other benchmark studies.

Original language	English
Title of host publication	Advances in Computational Intelligence and Learning: Methods and Applications
Publication date	2002
Pages	461-474
Publication status	Published - 2002

Access to Document

http://www.oersted.dtu.dk/publications/p.php?357

OpenUrl availability

Full text

Cite this

@inbook{dc6fd307ad504f95996e6c9446dcacf3,

title = "Diagnosis Of Aphasia Using Neural And Fuzzy Techniques",

abstract = "The language disability aphasia has several sub-diagnoses such as Amnestic, Broca, Global, and Wernicke. Data concerning 265 patients is available in the form of test scores and diagnoses, made by physicians according to the Aachen Aphasia Test. A neural network model has been built, which is available for consultation on the World Wide Web. The neural network model is in this paper compared with a fuzzy model. Rather than concluding which method provides the best approximation, the paper acts as an example solution useful for other benchmark studies.",

author = "Jan Jantzen and Hubertus Axer and Keyserlingk, {Diedrich Graf von}",

year = "2002",

language = "English",

pages = "461--474",

booktitle = "Advances in Computational Intelligence and Learning: Methods and Applications",

}

TY - CHAP

T1 - Diagnosis Of Aphasia Using Neural And Fuzzy Techniques

AU - Jantzen, Jan

AU - Axer, Hubertus

AU - Keyserlingk, Diedrich Graf von

PY - 2002

Y1 - 2002

N2 - The language disability aphasia has several sub-diagnoses such as Amnestic, Broca, Global, and Wernicke. Data concerning 265 patients is available in the form of test scores and diagnoses, made by physicians according to the Aachen Aphasia Test. A neural network model has been built, which is available for consultation on the World Wide Web. The neural network model is in this paper compared with a fuzzy model. Rather than concluding which method provides the best approximation, the paper acts as an example solution useful for other benchmark studies.

AB - The language disability aphasia has several sub-diagnoses such as Amnestic, Broca, Global, and Wernicke. Data concerning 265 patients is available in the form of test scores and diagnoses, made by physicians according to the Aachen Aphasia Test. A neural network model has been built, which is available for consultation on the World Wide Web. The neural network model is in this paper compared with a fuzzy model. Rather than concluding which method provides the best approximation, the paper acts as an example solution useful for other benchmark studies.

M3 - Book chapter

SP - 461

EP - 474

BT - Advances in Computational Intelligence and Learning: Methods and Applications

ER -

Diagnosis Of Aphasia Using Neural And Fuzzy Techniques

Abstract

Access to Document

OpenUrl availability

Fingerprint

Cite this