Abstract
Machine learning has opened a new era of effective and easy ways of data analysis in biological research. The use of high throughput data analysis tools and libraries facilitated cancer research among many other benefits. Breast cancer is one of the main reasons for mortality among women. Apart from traditional molecular detection, it is also necessary to find an alternate approach. With the advent of modern technology, clinicians and healthcare providers can improve diagnosis accuracy and detection. In this study, we use a simple layer-based deep learning approach to investigate the malignancy of breast cancer. Our finding includes shows over 97% accuracy with the ANN-based machine learning approach.
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Dash, S.R., Roy, S., Mohanty, J.R., Meedeniya, D., Mishra, M.R. (2023). Machine Learning Approach to Analyze Breast Cancer. In: Bhateja, V., Yang, XS., Chun-Wei Lin, J., Das, R. (eds) Intelligent Data Engineering and Analytics. FICTA 2022. Smart Innovation, Systems and Technologies, vol 327. Springer, Singapore. https://doi.org/10.1007/978-981-19-7524-0_34
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DOI: https://doi.org/10.1007/978-981-19-7524-0_34
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