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Assessment of the Performance of MLP & Hierarchical Clustering Method in the Prediction of Breast Cancer

Jayshree Bhattacharya1 , Pranati Rakshit2 , Arindam Roy3 , Dharmpal Singh4 , Debolina Dalui5

Section:Research Paper, Product Type: Journal Paper
Volume-08 , Issue-01 , Page no. 55-58, Feb-2020

Online published on Feb 28, 2020

Copyright © Jayshree Bhattacharya, Pranati Rakshit, Arindam Roy, Dharmpal Singh, Debolina Dalui . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Jayshree Bhattacharya, Pranati Rakshit, Arindam Roy, Dharmpal Singh, Debolina Dalui, “Assessment of the Performance of MLP & Hierarchical Clustering Method in the Prediction of Breast Cancer,” International Journal of Computer Sciences and Engineering, Vol.08, Issue.01, pp.55-58, 2020.

MLA Style Citation: Jayshree Bhattacharya, Pranati Rakshit, Arindam Roy, Dharmpal Singh, Debolina Dalui "Assessment of the Performance of MLP & Hierarchical Clustering Method in the Prediction of Breast Cancer." International Journal of Computer Sciences and Engineering 08.01 (2020): 55-58.

APA Style Citation: Jayshree Bhattacharya, Pranati Rakshit, Arindam Roy, Dharmpal Singh, Debolina Dalui, (2020). Assessment of the Performance of MLP & Hierarchical Clustering Method in the Prediction of Breast Cancer. International Journal of Computer Sciences and Engineering, 08(01), 55-58.

BibTex Style Citation:
@article{Bhattacharya_2020,
author = {Jayshree Bhattacharya, Pranati Rakshit, Arindam Roy, Dharmpal Singh, Debolina Dalui},
title = {Assessment of the Performance of MLP & Hierarchical Clustering Method in the Prediction of Breast Cancer},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2020},
volume = {08},
Issue = {01},
month = {2},
year = {2020},
issn = {2347-2693},
pages = {55-58},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1400},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1400
TI - Assessment of the Performance of MLP & Hierarchical Clustering Method in the Prediction of Breast Cancer
T2 - International Journal of Computer Sciences and Engineering
AU - Jayshree Bhattacharya, Pranati Rakshit, Arindam Roy, Dharmpal Singh, Debolina Dalui
PY - 2020
DA - 2020/02/28
PB - IJCSE, Indore, INDIA
SP - 55-58
IS - 01
VL - 08
SN - 2347-2693
ER -

           

Abstract

Breast cancer is such a type of cancer which can leads to the death of women .in this type of cancer there is excessive growth of cells of the breast tissue are done. Lump, pain or sore, bloody nipple, and change in size are being visible for the case of breast cancer. Breast cancer took places when the tissues of the breast are not in a normal manner and not divided in a proper way. Those abnormal cells make clotted mass tissues, which therefore that becomes a tumor. There are two types of tumors, one is benign, which are not cancerous and that no becomes the cause of anyone‘s death .Another type of tumor is Malignant tumor, that is cancerous and very harmful. The second type of tumor can lead to the death. Soft computing techniques are become popular for the case of medical disease diagnosis and also for the prediction. In this paper we combine the Hierarchical Clustering Method and Multilayer Perceptron to predict of the breast cancer .The accuracy of the proposed methods is 81% for the clustering method and 94% for Multilayer Perceptron.

Key-Words / Index Term

Soft Computing, Breast Cancer, Benign, Malignant, Hierarchical Clustering Method, Multilayer Perceptron

References

[1] Kowsalya, shanmugapriyaa, ― A Survey on Diagnosis Methods of Breast Cancer using Mammography‖ International Journal of Engineering Technology Science and Research , ISSN 2394 – 3386 Vol. 02, Issue 4(April2015),pages,100-107.
[2] VikasChaurasia, Saurabh Pal, BB Tiwari ,‖ Prediction of benign and malignant breast cancer using data mining techniques‖ Volume: 12 issue: 2, page(s): 119-126 . Issue published: June 1, 2018.
[3] M. Durairaj , K. Priya ,‖Breast Cancer Prediction Using Soft Computing Techniques – A Survey‖,International Journal of Computer Sciences and Engineering,Vol.-6, Issue-8, Aug 2018 E- ISSN: 2347-2693.
[4] Amjad Khan , Zahid Ahmed Ansari,‖ Early Detection of Breast Cancer using Soft Computing‖, IJSRD - International Journal for Scientific Research & Development| Vol. 5, Issue 10, 2017 | ISSN (online): 2321-0613.
[5] Ibrahim M. El-Hasnony, Hazem M. El-Bakry, Ahmed A. Saleh,‖ Classification of Breast Cancer Using Softcomputing Techniques‖ International Journal of Electronics and Information Engineering, Vol.4, No.1, PP.45-54, Mar.2016.
[6] SoumadipGhosh,SushantaBiswasandDebasreeChanda,―Breast Cancer Detection using a Neuro-fuzzy basedClassification Method‖ Indian Journal of Science and Technology, ISSN (Print): 0974- 6846, Vol 9(14), April 2016, pages, 1-15.
[7] N.S.Nithya,Dr.K.Duraiswamy,P.Gomathy,―ASurveyon Clustering Techniques in Medical Diagnosis‖ International Journal of Computer Science Trends and Technology (IJCST) Vol. 1 Issue2, Nov-Dec 2013.
[8] SL.Aarthy,S.Prabu.,―acomputerizedapproachonbreastcancer detection and classification‖ IIOAB Journal, ISSN: 0976-3104, Vol. 7/Issue 5/2016/157-169.
[9] Elouedi, H., Meliani, W., Elouedi, Z. and Amor, N.B., A hybrid approach based on decision trees and clustering for breast cancer classification. IEEE 6th International Conference of Soft Computing and Pattern Recognition (SoCPaR), 2014, August, pp. 226-231.
[10] N.S.Nithiya,Dr.K.Duraiswamy,P.Gomathy ,‖A Survey On Clustering Techniques In Medical Diagnosis‖,International Journal Of Computer Science Trends And Technology (IJCST)-Volume 1 issue 2,Nov-Dec2013.
[11] J.Padmavathi,‖A Comparative study on Breast Cancer Prediction Using RBF and MLP‖,International Journal of Scientific & Engineering Research, Volume 2, Issue 1, January-2011 1 ISSN 2229-558.
[12] TubaKiyanandTulayYildirim,―BreastCancerDiagnosisUsing Statistical Neural Networks‖, Istanbul University, Journal of Electrical and Electronics Engineering, Year 2004, 4(2), 1149- 1153.
[13] Ms.SnehaBadrinathSanap,VijayL.Agrawal―DiagnosisofBreast Cancer using Multilayer Perceptron (MLP)‖,International Journal of Advance Foundation and Research in Computer (IJAFRC) Volume 3, Issue 4, April - 2016. ISSN : 2348 –4853.
[14] S.A Mojarad, S.S.Dlay& W.L. Woo and G.V Sherbet,‖ Breast cancer prediction and cross validation using multilayer perceptron neural networks‖, 2010 7th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP2010.4.760764.
[15] ShikhaAgrawal,JitendraAgrawal,‖Neural Network Techniques for Cancer Prediction: A Survey‖, 19th International Conference on Knowledge Based and Intelligent Information and Engineering Systems, https://doi.org/10.1016/j.procs.2015.08.234.