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DOI: 10.14569/IJACSA.2019.0100251
PDF

Cervical Cancer Prediction through Different Screening Methods using Data Mining

Author 1: Talha Mahboob Alam
Author 2: Muhammad Milhan Afzal Khan
Author 3: Muhammad Atif Iqbal
Author 4: Abdul Wahab
Author 5: Mubbashar Mushtaq

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 2, 2019.

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Abstract: Cervical cancer remains an important reason of deaths worldwide because effective access to cervical screening methods is a big challenge. Data mining techniques including decision tree algorithms are used in biomedical research for predictive analysis. The imbalanced dataset was obtained from the dataset archive belongs to the University of California, Irvine. Synthetic Minority Oversampling Technique (SMOTE) has been used to balance the dataset in which the number of instances has increased. The dataset consists of patient age, number of pregnancies, contraceptives usage, smoking patterns and chronological records of sexually transmitted diseases (STDs). Microsoft azure machine learning tool was used for simulation of results. This paper mainly focuses on cervical cancer prediction through different screening methods using data mining techniques like Boosted decision tree, decision forest and decision jungle algorithms as well performance evaluation has done on the basis of AUROC (Area under Receiver operating characteristic) curve, accuracy, specificity and sensitivity. 10-fold cross-validation method was utilized to authenticate the results and Boosted decision tree has given the best results. Boosted decision tree provided very high prediction with 0.978 on AUROC curve while Hinslemann screening method has used. The results obtained by other classifiers were significantly worse than boosted decision tree.

Keywords: Boosted decision tree; cervical cancer; data mining; dcision trees; decision forest; decision jungle; screening methods

Talha Mahboob Alam, Muhammad Milhan Afzal Khan, Muhammad Atif Iqbal, Abdul Wahab and Mubbashar Mushtaq, “Cervical Cancer Prediction through Different Screening Methods using Data Mining” International Journal of Advanced Computer Science and Applications(IJACSA), 10(2), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100251

@article{Alam2019,
title = {Cervical Cancer Prediction through Different Screening Methods using Data Mining},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100251},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100251},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {2},
author = {Talha Mahboob Alam and Muhammad Milhan Afzal Khan and Muhammad Atif Iqbal and Abdul Wahab and Mubbashar Mushtaq}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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