Study on detection of breast cancer using Machine Learning

Sunpreet Kour; Rakesh Kumar; Meenu Gupta

doi:10.1109/apsit52773.2021.9641284

Study on detection of breast cancer using Machine Learning

Sunpreet Kour
, Rakesh Kumar
, Meenu Gupta

Chandigarh University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Scopus citations

Abstract

Breast cancer is one of the woman's most prominent cancer and most malignant of all cancers. It is the world's largest autopsy of cancer deaths for females and happens in about 3 from 10 people. This article includes numerous machine learning methods and data mining strategies to assess the early detection of breast cancer. Machine learning is used in clinical applications such as identification of cancer cells. The cancerous cells are categorized as Benign and Malignant. This paper analyzes the quality of numerous unsupervised, supervised and other methods for the integrity and prediction for breast cancer. This research could provide various methodologies to better understand early cancer detection. Early detection for breast cancer can be a potential benefit in the management of this condition, not only does early treatment make it possible to heal it, but it also prevent its recurrence.

Original language	English
Title of host publication	2021 International Conference in Advances in Power, Signal, and Information Technology, APSIT 2021
Editors	Niranjan Nayak, Taraprasanna Dash, Tanmoy Parida
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665425063
DOIs	https://doi.org/10.1109/apsit52773.2021.9641284
State	Published - 2021
Externally published	Yes
Event	2021 International Conference in Advances in Power, Signal, and Information Technology, APSIT 2021 - Bhubaneswar, India Duration: 8 Oct 2021 → 10 Oct 2021

Publication series

Name	2021 International Conference in Advances in Power, Signal, and Information Technology, APSIT 2021

Conference

Conference	2021 International Conference in Advances in Power, Signal, and Information Technology, APSIT 2021
Country/Territory	India
City	Bhubaneswar
Period	8/10/21 → 10/10/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Breast Cancer
Classification
Data mining
Machine learning
Prediction

Access to Document

10.1109/apsit52773.2021.9641284

Cite this

Kour, S., Kumar, R., & Gupta, M. (2021). Study on detection of breast cancer using Machine Learning. In N. Nayak, T. Dash, & T. Parida (Eds.), 2021 International Conference in Advances in Power, Signal, and Information Technology, APSIT 2021 (2021 International Conference in Advances in Power, Signal, and Information Technology, APSIT 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/apsit52773.2021.9641284

Kour, Sunpreet ; Kumar, Rakesh ; Gupta, Meenu. / Study on detection of breast cancer using Machine Learning. 2021 International Conference in Advances in Power, Signal, and Information Technology, APSIT 2021. editor / Niranjan Nayak ; Taraprasanna Dash ; Tanmoy Parida. Institute of Electrical and Electronics Engineers Inc., 2021. (2021 International Conference in Advances in Power, Signal, and Information Technology, APSIT 2021).

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title = "Study on detection of breast cancer using Machine Learning",

abstract = "Breast cancer is one of the woman's most prominent cancer and most malignant of all cancers. It is the world's largest autopsy of cancer deaths for females and happens in about 3 from 10 people. This article includes numerous machine learning methods and data mining strategies to assess the early detection of breast cancer. Machine learning is used in clinical applications such as identification of cancer cells. The cancerous cells are categorized as Benign and Malignant. This paper analyzes the quality of numerous unsupervised, supervised and other methods for the integrity and prediction for breast cancer. This research could provide various methodologies to better understand early cancer detection. Early detection for breast cancer can be a potential benefit in the management of this condition, not only does early treatment make it possible to heal it, but it also prevent its recurrence.",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Kour, S, Kumar, R & Gupta, M 2021, Study on detection of breast cancer using Machine Learning. in N Nayak, T Dash & T Parida (eds), 2021 International Conference in Advances in Power, Signal, and Information Technology, APSIT 2021. 2021 International Conference in Advances in Power, Signal, and Information Technology, APSIT 2021, Institute of Electrical and Electronics Engineers Inc., 2021 International Conference in Advances in Power, Signal, and Information Technology, APSIT 2021, Bhubaneswar, India, 8/10/21. https://doi.org/10.1109/apsit52773.2021.9641284

Study on detection of breast cancer using Machine Learning. / Kour, Sunpreet; Kumar, Rakesh; Gupta, Meenu.
2021 International Conference in Advances in Power, Signal, and Information Technology, APSIT 2021. ed. / Niranjan Nayak; Taraprasanna Dash; Tanmoy Parida. Institute of Electrical and Electronics Engineers Inc., 2021. (2021 International Conference in Advances in Power, Signal, and Information Technology, APSIT 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Breast cancer is one of the woman's most prominent cancer and most malignant of all cancers. It is the world's largest autopsy of cancer deaths for females and happens in about 3 from 10 people. This article includes numerous machine learning methods and data mining strategies to assess the early detection of breast cancer. Machine learning is used in clinical applications such as identification of cancer cells. The cancerous cells are categorized as Benign and Malignant. This paper analyzes the quality of numerous unsupervised, supervised and other methods for the integrity and prediction for breast cancer. This research could provide various methodologies to better understand early cancer detection. Early detection for breast cancer can be a potential benefit in the management of this condition, not only does early treatment make it possible to heal it, but it also prevent its recurrence.

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KW - Classification

KW - Data mining

KW - Machine learning

KW - Prediction

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Kour S, Kumar R, Gupta M. Study on detection of breast cancer using Machine Learning. In Nayak N, Dash T, Parida T, editors, 2021 International Conference in Advances in Power, Signal, and Information Technology, APSIT 2021. Institute of Electrical and Electronics Engineers Inc. 2021. (2021 International Conference in Advances in Power, Signal, and Information Technology, APSIT 2021). doi: 10.1109/apsit52773.2021.9641284

Study on detection of breast cancer using Machine Learning

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

Access to Document

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Cite this