Mathematical model development to detect breast cancer using multigene genetic programming
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- @InProceedings{Hasan:2016:ICIEV,
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author = "Md. Kamrul Hasan and Md. Milon Islam and
M. M. A. Hashem",
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booktitle = "2016 5th International Conference on Informatics,
Electronics and Vision (ICIEV)",
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title = "Mathematical model development to detect breast cancer
using multigene genetic programming",
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year = "2016",
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pages = "574--579",
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month = may,
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keywords = "genetic algorithms, genetic programming, Breast
cancer, multigene genetic programming, cross
validation, confusion matrix, symbolic regression,
mathematical model",
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DOI = "doi:10.1109/ICIEV.2016.7760068",
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size = "6 pages",
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abstract = "Breast cancer is one of the world's leading causes of
cancer death of women. Generally, human breast tissue
cells emerge this cancer. This causes loss of breast as
well as precious lives. Usually in people over 50 years
have the risk of this types of cancer. So, early
detection for this disease is very crucial to save the
valuable lives. This paper develops a 10 fold cross
validated mathematical model to detect breast cancer
using symbolic regression of multi-gene genetic
programming (MGGP). Data for MGGP is retrieved from UCI
machine learning repository data set and is used for
training and testing the 10 fold cross validated
mathematical model. The developed model produces fast
and accurate results for both training and testing data
set. The error rate is very negligible for both benign
and malignant type of breast cancer. The cross
validated model shows the higher accuracy with respect
to existing techniques.",
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notes = "Also known as \cite{7760068}",
- }
Genetic Programming entries for
Md Kamrul Hasan
Md Milon Islam
M M A Hashem
Citations