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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 3/2022

19.04.2022

Machine Learning Techniques and Breast Cancer Prediction: A Review

verfasst von: Gagandeep Kaur, Ruchika Gupta, Nistha Hooda, Nidhi Rani Gupta

Erschienen in: Wireless Personal Communications | Ausgabe 3/2022

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Abstract

Cancer is one of the most prevalent diseases in humans, both in terms of incidence and fatality. Cancer care is a growing area of focus for developing interventions to improve the overall quality of life and longevity. Physical exercise has been continuously identified as a critical component of rehabilitation for a variety of chronic conditions and has been shown to improve first-class lifestyles and decrease all-cause mortality. Recent observational research suggests that moderate amounts of physical activity may also reduce the probability of dying from cancer, implying that exercise may be a beneficial strategy to improve not only exceptional but also standard survival. The classification of cancer modalities using machine learning modeling has been extensively discussed in this research work. This work helps contemporary and future researchers to build a foundation and conceptualize the technological factors involved in cancer research.
Vorheriger Artikel Complexity Reduced Design Procedure of a Fractional Order All-Pass Filter
Nächster Artikel Quad Band Substrate Integrated Waveguide Cavity Backed Slot Antenna Using Balanced Shorting Vias

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Metadaten
Titel
Machine Learning Techniques and Breast Cancer Prediction: A Review
verfasst von
Gagandeep Kaur
Ruchika Gupta
Nistha Hooda
Nidhi Rani Gupta
Publikationsdatum
19.04.2022
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 3/2022
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-022-09673-3

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