TY  - JOUR
T1  - Gaussian Radial Basis Function Neural Network with Correlation Based Feature Selection Applied to Medical Text Categorization
AU  - Özçift, Akın
PY  - 2019
DA  - March
DO  - 10.18466/cbayarfbe.466908
JF  - Celal Bayar University Journal of Science
JO  - CBUJOS
PB  - Manisa Celal Bayar University
WT  - DergiPark
SN  - 1305-130X
SP  - 75
EP  - 80
VL  - 15
IS  - 1
LA  - en
AB  - Text categorization is an important field for information processingsystems. Particularly, medical text processing is a popular research area thatmakes use of classification algorithms and dimension reduction strategies frommachine learning field. In this study, we propose a three stage algorithm toautomatically categorize medical text from OHSUMED corpus. In the proposedalgorithm, we use Correlation Based Feature Filtering on top of Radial BasisFunction Neural Network. The algorithm for 12 sample datasets produces 0.890 interms macro average F-measure. In this context, both Correlation based FeatureFiltering as a feature elimination strategy and Radial Basis Function NeuralNetwork as text categorization algorithm are promising methods
KW  - Machine learning
KW  - text categorization
KW  - neural networks
KW  - feature selection
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UR  - https://doi.org/10.18466/cbayarfbe.466908
L1  - https://dergipark.org.tr/en/download/article-file/674376
ER  -