Logische Analyse und computer-basierte Operationalisierung der DSMIV-Kriterien als Basis einer Relevanzordnung im Sinne des Informationsgewinnes in Entscheidungsbäumen

Classification systems in general and the DSM-IV in particular have a important significance in psychiatric diagnostic.In my doctorial thesis, I was discussing questions of the structure of the DSM-IV.To discuss those questions, I ordered the diagnosis criteria of the diseases anxiety disorders and somatoform disorders of the DSM-IV after the principals of the Information-gain- theory. Afterwards I compared the new order with the order given by the DSM-IV. A patient-based evaluation was not performed.The new, information-gain-based, order was possible with an assistant system, written by Dominik Lübbers in 2001. Its primary goal is to help the physician with differential diagnosis.It was possible to establish a database with all diagnosis and to transform them into the assistant system. With the assistant system, it was possible to calculate the information-gain data.The result of the calculation was, that the information-gain-based order is only in few diagnosis more useful, most of the time, the order in the DSM-IV is more useful. In most cases, where the order in the DSM-IV was more useful, an criterion for exclusion had a higher level in the information-gain-calculation.But there were also situations, where the information-gain-based order was more useful . In those cases, the diagnosis criteria in the DSM-IV were only a listing without structure

Grantor dc:publisher

Publikationsserver der RWTH Aachen University

Year dc:date

2006

Author dc:creator

• Meinhard, Daniel Thomas

Contributors dc:contributor

• Spitzer, Klaus

• info:eu-repo/classification/ddc/610
• Medizin
• Diagnostic and statistical manual of mental disorders 1994>
• Operationalisierung
• Entscheidungsbaum
• ID3
• Information-Gain
• Relevanzordnung
• relevance order

Statement dc:rights

• info:eu-repo/semantics/openAccess

Language dc:language

ger

Identifier

https://publications.rwth-aachen.de/search?p=id:%22RWTH-CONV-122530%22

OAI identifier oai:identifier

oai:publications.rwth-aachen.de:60842