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A Systematic Review of Risk Factors and Risk Assessment Models for Breast Cancer

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Mobile Radio Communications and 5G Networks

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 140))

Abstract

Breast cancer is the utmost frequently occurring as well as the most common reason for cancer-related deaths among women community worldwide. In Indian females, breast cancer ranks with the highest rate as 25.8 out of 100,000 with the mortality rate of 12.7 per 100,000 women. Early detection and accurate diagnose will facilitate the clinicians to fight against this deadly disease worldwide. To differentiate between the patients at higher risk and lower risk of breast cancer, various risk factors and risk analysis models have been developed. Machine learning-based models help in the categorization of high-risk and low-risk patients. Once categorized properly, high-risk patients require more surveillance, prophylactic count, and other preventive measures like chemoprevention or surgery. Patients with low risk should also be kept under surveillance to minimize the probability to turn in high-risk patients. In this paper, the authors have identified the key risk factors for breast cancer. The authors have done a systematic review of different risk assessment models for breast cancer.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala, India

    Deepti Sharma & Rajneesh Kumar

  2. Department of Virtualization, School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India

    Anurag Jain

Authors
  1. Deepti Sharma
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  2. Rajneesh Kumar
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  3. Anurag Jain
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Corresponding author

Correspondence to Deepti Sharma .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, University Institute of Engineering and Technology (UIET), Kurukshetra University, Kurukshetra, Haryana, India

    Nikhil Marriwala

  2. University Institute of Engineering and Technology (UIET), Kurukshetra University, Kurukshetra, Haryana, India

    C. C. Tripathi

  3. Department of Electrical and Computer System Engineering, RMIT University, Melbourne, VIC, Australia

    Dinesh Kumar

  4. Department of Electronics and Communication Engineering, Jaypee University of Information Technology, Waknaghat, Himachal Pradesh, India

    Shruti Jain

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Sharma, D., Kumar, R., Jain, A. (2021). A Systematic Review of Risk Factors and Risk Assessment Models for Breast Cancer. In: Marriwala, N., Tripathi, C.C., Kumar, D., Jain, S. (eds) Mobile Radio Communications and 5G Networks. Lecture Notes in Networks and Systems, vol 140. Springer, Singapore. https://doi.org/10.1007/978-981-15-7130-5_41

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  • DOI: https://doi.org/10.1007/978-981-15-7130-5_41

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-7129-9

  • Online ISBN: 978-981-15-7130-5

  • eBook Packages: EngineeringEngineering (R0)

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