Breast Cancer Detection Analysis Using Different Machine Learning Techniques: South Iraq Case Study

Breast Cancer Detection Analysis Using Different Machine Learning Techniques: South Iraq Case Study

Contemporary oncology has seen a growing interest in digital technologies, whose integration with extensive healthcare and clinical data has raised new aspirations in managing patient profiles and organizing treatment plans. Among the commonly used digital technologies are Machine Learning (ML) meth...

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Bibliographic Details
Main Authors: Salma Abdulbaki Mahmood, Myssar Jabbar Hammood Al-Battbootti, Saad Shaheen Hamadi, Iuliana Marin, Costin-Anton Boiangiu, Nicolae Goga
Format: Article
Language:English
Published: The Prognostics and Health Management Society 2025-02-01
Series:International Journal of Prognostics and Health Management
Subjects:
breast cancer prediction
machine learning
comparative study
naïve bayes
k-nearest neighbors
support vector machines
decision trees
random forests
logistic regression
Online Access:https://papers.phmsociety.org/index.php/ijphm/article/view/4240
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https://papers.phmsociety.org/index.php/ijphm/article/view/4240

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