An Automatic Detection of Breast Cancer Diagnosis and Prognosis based on Machine Learning Using Ensemble of Classifiers

An Automatic Detection of Breast Cancer Diagnosis and Prognosis based on Machine Learning Using Ensemble of Classifiers

Breast cancer (BC) is the second most prevalent type of cancer among women leading to death, and its rate of mortality is very high. Its effects will be reduced if diagnosed early. BC’s early detection will greatly boost the prognosis and likelihood of recovery, as it may encourage prompt...

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Bibliographic Details
Main Authors: Ali, L. (Author), Awan, M.J (Author), Haq, Q.E.U (Author), Imran, M. (Author), Kim, J. (Author), Naseem, U. (Author), Rashid, J. (Author)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Subjects:
Breast
breast cancer
Breast cancer
Breast Cancer
Breast cancer diagnosis
Cancer diagnoses
Cancer diagnosis
Classification (of information)
Classification algorithm
Classification algorithms
Diagnosis
Diseases
Ensemble learning
Health care
Healthcare system
Healthcare systems
Learning algorithms
machine learning
Machine learning
Mammography
Patient rehabilitation
Prognostic and health management
Prognostics and health management
Support vector machines
Support vectors machine
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