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: Usman Naseem, Junaid Rashid, Liaqat Ali, Jungeun Kim, Qazi Emad Ul Haq, Mazhar Javed Awan, Muhammad Imran
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Healthcare system
machine learning
breast cancer
ensemble learning
cancer diagnoses
Online Access:https://ieeexplore.ieee.org/document/9773160/

Internet

https://ieeexplore.ieee.org/document/9773160/

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