Evolutionary sequential genetic search technique-based cancer classification using fuzzy rough nearest neighbour classifier

Evolutionary sequential genetic search technique-based cancer classification using fuzzy rough nearest neighbour classifier

Cancer is one of the deadly diseases of human life. The patient may likely to survive if the disease is diagnosed in its early stages. In this Letter, the authors propose a genetic search fuzzy rough (GSFR) feature selection algorithm, which is hybridised using the evolutionary sequential genetic se...

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Bibliographic Details
Main Authors: Loganathan Meenachi, Srinivasan Ramakrishnan
Format: Article
Language:English
Published: Wiley 2018-08-01
Series:Healthcare Technology Letters
Subjects:
search problems
pattern classification
cancer
fuzzy set theory
rough set theory
feature selection
genetic algorithms
medical computing
mathematical operators
evolutionary sequential genetic search technique-based cancer classification
fuzzy rough nearest neighbour classifier
deadly diseases
genetic search fuzzy rough feature selection algorithm
fuzzy rough set
genetic operator
generated subset
modified dependency function
GSFR feature selection algorithm
FRNN classifier
positive regions
boundary regions
fitness function
classification accuracy
computation time
Online Access:https://digital-library.theiet.org/content/journals/10.1049/htl.2018.5041

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https://digital-library.theiet.org/content/journals/10.1049/htl.2018.5041

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