Machine Learning Techniques and Breast Cancer Prediction: A Review

被引:3
|
作者
Kaur, Gagandeep [1 ]
Gupta, Ruchika [1 ]
Hooda, Nistha [2 ]
Gupta, Nidhi Rani [3 ]
机构
[1] Chandigarh Univ, Dept Comp Sci Engn, Mohali 140413, Punjab, India
[2] IIIT, Dept Comp Sci Engn, Una 174303, Himachal Prades, India
[3] Multani Mal Modi Coll, Dept Chem, Patiala 140201, Punjab, India
关键词
Machine learning techniques; Prediction; Breast cancer; Detection; SUPPORT VECTOR MACHINES; FEATURE-SELECTION; NEURAL-NETWORKS; K-MEANS; CLASSIFICATION; ALGORITHMS; HYBRID; MODELS; RULES;
D O I
10.1007/s11277-022-09673-3
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
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.
引用
收藏
页码:2537 / 2564
页数:28
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