Breast Cancer Diagnosis using Simultaneous Feature Selection and Classification: A Genetic Programming Approach
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- @InProceedings{Bhardwaj:2018:ieeeCompIntl,
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author = "Harshit Bhardwaj and Aditi Sakalle and
Arpit Bhardwaj and Aruna Tiwari and Madhushi Verma",
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booktitle = "2018 IEEE Symposium Series on Computational
Intelligence (SSCI)",
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title = "Breast Cancer Diagnosis using Simultaneous Feature
Selection and Classification: A Genetic Programming
Approach",
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year = "2018",
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pages = "2186--2192",
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abstract = "Breast cancer is the most prevalent type of cancer
found in women worldwide. It is becoming a leading
cause of death among women in the whole world. Early
detection and effective treatment of this disease is
the only rescue to reduce breast cancer mortality.
Because of the effective classification and high
diagnostic capability expert systems are gaining
popularity in this field. But the problem with machine
learning algorithms is that if redundant and irrelevant
features are available in the dataset then they are not
being able to achieve desired performance. Therefore,
in this paper, a simultaneous feature selection and
classification technique using Genetic Programming
(GPsfsc) is proposed for breast cancer diagnosis. To
demonstrate our results, we had taken the Wisconsin
Breast Cancer (WBC) and Wisconsin Diagnostic Breast
Cancer (WDBC) databases from UCI Machine Learning
repository and compared the classification accuracy,
sensitivity, specificity, confusion matrix, and Mann
Whitney test results of GONN with classical multi-tree
GP algorithm for feature selection (GPmtfs). The
experimental results on WBC and WDBC datasets show that
the proposed method produces better classification
accuracy with reduced features. Therefore, our proposed
method is of great significance and can serve as
first-rate clinical tool for the detection of breast
cancer.",
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keywords = "genetic algorithms, genetic programming, Computational
intelligence, Feature Selection, Breast Cancer
Diagnosis, Classification",
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DOI = "doi:10.1109/SSCI.2018.8628935",
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month = nov,
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notes = "Also known as \cite{8628935}",
- }
Genetic Programming entries for
Harshit Bhardwaj
Aditi Sakalle
Arpit Bhardwaj
Aruna Tiwari
Madhushi Verma
Citations