Bayesian Model Prediction for Breast Cancer Survival: A Retrospective Analysis

The Bayesian model outperformed the other models in predicting the survival probability of breast cancer. Routine laboratory testing and demographic data can be included in a ML model to predict breast cancer survival. Accurate prediction of breast cancer survival is vital for clinical decision-making.

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Publication Details

Journal
European Journal of Breast Health
Published
2025-05-27
DOI
https://doi.org/10.4274/ejbh.galenos.2025.2025-2-14
Citations
1
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.36
Controls
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article

Bayesian Model Prediction for Breast Cancer Survival: A Retrospective Analysis

Eslam Bani Mohammad, Muayyad Mustafa Ahmad
1 citations
European Journal of Breast Health
Radiomics and Machine Learning in Medical Imaging
1.36
article

Bayesian Model Prediction for Breast Cancer Survival: A Retrospective Analysis

Eslam Bani Mohammad, Muayyad Mustafa Ahmad
article en
1 citations

Abstract

The Bayesian model outperformed the other models in predicting the survival probability of breast cancer. Routine laboratory testing and demographic data can be included in a ML model to predict breast cancer survival. Accurate prediction of breast cancer survival is vital for clinical decision-making.

European Journal of Breast HealthVol. 21(3)
University of Jordan (JO), Al-Balqa Applied University (JO)
Good health and well-being
Openalex Percentile: Top 20%
Radiomics and Machine Learning in Medical Imaging
1.36
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