Diagnosis of aphasia using neural and fuzzy techniques

Jan Jantzen; H. Axer; D. Graf von Keyserlingk

Diagnosis of aphasia using neural and fuzzy techniques

Jan Jantzen
, H. Axer
, D. Graf von Keyserlingk

RWTH Aachen University

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › 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	Proc. COIL 2000
Publisher	MIT GmbH, Promenade 9, D-52076 Aachen, Germany
Publication date	2000
Pages	124-132
Publication status	Published - 2000
Event	Symposium on Computational Intelligence and Learning, COIL 2000 - Chios, Greece Duration: 1 Jan 2000 → …

Conference

Conference	Symposium on Computational Intelligence and Learning, COIL 2000
City	Chios, Greece
Period	01/01/2000 → …

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Cite this

@inproceedings{ee611bef063d43c9b306f7305fdf8a15,

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 H. Axer and Keyserlingk, \{D. Graf von\}",

year = "2000",

language = "English",

pages = "124--132",

booktitle = "Proc. COIL 2000",

publisher = "MIT GmbH, Promenade 9, D-52076 Aachen, Germany",

note = "Symposium on Computational Intelligence and Learning, COIL 2000 ; Conference date: 01-01-2000",

}

TY - GEN

T1 - Diagnosis of aphasia using neural and fuzzy techniques

AU - Jantzen, Jan

AU - Axer, H.

AU - Keyserlingk, D. Graf von

PY - 2000

Y1 - 2000

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 - Article in proceedings

SP - 124

EP - 132

BT - Proc. COIL 2000

PB - MIT GmbH, Promenade 9, D-52076 Aachen, Germany

T2 - Symposium on Computational Intelligence and Learning, COIL 2000

Y2 - 1 January 2000

ER -