Predictive modeling for breast cancer classification in the context of Bangladeshi patients by use of machine learning approach with explainable AI

Predictive modeling for breast cancer classification in the context of Bangladeshi patients by use of machine learning approach with explainable AI

Abstract Breast cancer has rapidly increased in prevalence in recent years, making it one of the leading causes of mortality worldwide. Among all cancers, it is by far the most common. Diagnosing this illness manually requires significant time and expertise. Since detecting breast cancer is a time-c...

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Bibliographic Details
Main Authors: Taminul Islam, Md. Alif Sheakh, Mst. Sazia Tahosin, Most. Hasna Hena, Shopnil Akash, Yousef A. Bin Jardan, Gezahign FentahunWondmie, Hiba-Allah Nafidi, Mohammed Bourhia
Format: Article
Language:English
Published: Nature Portfolio 2024-04-01
Series:Scientific Reports
Subjects:
Breast cancer prediction
Machine learning
Cancer prediction
Hyperparameter tuning
Explainable AI
Online Access:https://doi.org/10.1038/s41598-024-57740-5

Internet

https://doi.org/10.1038/s41598-024-57740-5

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