Mortality Prediction in Patients With Breast Cancer by Artificial Neural Network Model and Elastic Net Regression

The sensitivity and AUC of the ANN model were higher than those of the elastic net regression, but the specificity, accuracy, precision, and F1-score of the elastic net were higher than those of the ANN. According to the purpose of the study, two models can be used simultaneously. Based on the results of models, morphology, tumor differentiation, and age had a greater effect on death.

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Publication Details

Journal
Journal of Research in Health Sciences
Published
2024-12-25
DOI
https://doi.org/10.34172/jrhs.2025.173
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
0.00

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article

Mortality Prediction in Patients With Breast Cancer by Artificial Neural Network Model and Elastic Net Regression

Ali Karamoozian, Abbas Bahrampour, Aryan Esmaeili
Journal of Research in Health Sciences
AI in cancer detection
article

Mortality Prediction in Patients With Breast Cancer by Artificial Neural Network Model and Elastic Net Regression

Ali Karamoozian, Abbas Bahrampour, Aryan Esmaeili
article en

Abstract

The sensitivity and AUC of the ANN model were higher than those of the elastic net regression, but the specificity, accuracy, precision, and F1-score of the elastic net were higher than those of the ANN. According to the purpose of the study, two models can be used simultaneously. Based on the results of models, morphology, tumor differentiation, and age had a greater effect on death.

Journal of Research in Health SciencesVol. 25(1)
Kerman University of Medical Sciences (IR)
Kerman University of Medical Sciences
Good health and well-being
Openalex Percentile: Top 78%
AI in cancer detection
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Mortality Prediction in Patients With Breast Cancer by Artificial Neural Network Model and Elastic Net Regression — Ali Karamoozian, Abbas Bahrampour, et al. · Journal of Research in Health Sciences (2024) | TGRS Research Map | TGRS