Breast Cancer Prediction Based on Feature Extraction using Hybrid Methodologies

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IJSCE
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Published: Jul 22, 2023
DOI: https://doi.org/10.35940/ijsce.B36120513223
Keywords:
Breast Cancer prediction, Feature extraction, Linear Discriminant Analysis, Long Short-Term Memeory, XGBoost, classification, performance accuracy

Main Article Content

Rajasekaran
Research Scholar, Department of Computer Science and Engineering, SCSVMV University, Kancheepuram (Tamil Nadu), India
https://orcid.org/0009-0008-8042-9267
Dr. C. Sunitha Ram,
ssistant Professor, Department of Computer Science and Engineering, SCSVMV University, Kancheepuram (Tamil Nadu), India
https://orcid.org/0000-0002-0618-8660

Abstract

The breast cancer prediction is essential for effective treatment and management of the disease. Using data mining techniques to develop predictive models can assist in identifying patients at high risk of developing breast cancer, allowing for early detection and treatment. Early detection has been shown to improve patient outcomes and survival rates. The proposed system for breast cancer prediction involves two main techniques: Linear Discriminant Analysis (LDA) based feature extraction and hyperparameter tuned LSTM-XGBoost based hybrid modelling. The LDA is used to extract the features from the input data that can be trainedusinga hybrid model such as LSTM and XGBoost. The hyperparameters of both models are optimized using cross-validation techniques to achieve high accuracy in breast cancer prediction. Overall, this proposed system has achieved an accuracy and efficiency of breast cancer prediction than existing.

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[1]
Rajasekaran and Dr. C. Sunitha Ram, “Breast Cancer Prediction Based on Feature Extraction using Hybrid Methodologies”, IJSCE, vol. 13, no. 2, pp. 20–28, Jul. 2023, doi: 10.35940/ijsce.B36120513223.
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Vol. 13 No. 2 (2023): Volume-13 Issue-2, May 2023
Section
Articles
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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[1]
Rajasekaran and Dr. C. Sunitha Ram, “Breast Cancer Prediction Based on Feature Extraction using Hybrid Methodologies”, IJSCE, vol. 13, no. 2, pp. 20–28, Jul. 2023, doi: 10.35940/ijsce.B36120513223.
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