Fuzzy Rules Induction Medical Diagnosis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F04%3A00096490" target="_blank" >RIV/68407700:21230/04:00096490 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Fuzzy Rules Induction Medical Diagnosis

Original language description

This document reports the activity of Daniele Peri during the MIRACLE fellowship at the CVUT, Prague June-August 2003. The research was focused on Fuzzy Rules Induction in the domain of medical diagnosis. Following the results of previous work, a prototype of a fuzzy rule learning infrastructure was implemented. The initial fuzzy rule method chosen was the recently introduced FURL (Fuzzy Rule Learner). The FURL method was tested over three applications: a synthetic dataset, a Multiple Sclerosis Diseasediagnosis dataset and a Arrhythmia Diagnosis datasets. The FURL method was then augmented with negated antecedent and tests were performed over the tree datasets. Finally, the infrastructure was enriched with a CFR (Conditional Firing Rules) controller and experimental results over the three dataset were collected.

Czech name

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Czech description

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Type

O - Miscellaneous

CEP classification

JC - Computer hardware and software

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2004

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů