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Theme Issue 2025: Artificial Intelligence in Oncology (12) Clinical Informatics (1466) Machine Learning (2269) Artificial Intelligence (2406) Data Science (402) Innovations in Clinical Trials and Research Data Management (145)

Published on in Vol 7 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75678, first published .
Random Survival Forest Versus Elastic-Net Regularized Cox Regression for Survival Prediction in Acute Myeloid Leukemia at Distinct Treatment Time Points: Model Performance Comparison Study

Random Survival Forest Versus Elastic-Net Regularized Cox Regression for Survival Prediction in Acute Myeloid Leukemia at Distinct Treatment Time Points: Model Performance Comparison Study

Random Survival Forest Versus Elastic-Net Regularized Cox Regression for Survival Prediction in Acute Myeloid Leukemia at Distinct Treatment Time Points: Model Performance Comparison Study

Authors of this article:

Oisín Brady1, 2 Author Orcid Image ;   Sean Johnson2 Author Orcid Image ;   Peter Giles2 Author Orcid Image ;   Caroline Alvares2 Author Orcid Image ;   Joanna Zabkiewicz2 Author Orcid Image ;   Carolina Fuentes1 Author Orcid Image
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Oisín Brady   1, 2 , BSc ;   Sean Johnson   2 , DPhil ;   Peter Giles   2 , PhD ;   Caroline Alvares   2 , PhD ;   Joanna Zabkiewicz   2 , PhD ;   Carolina Fuentes   1 , PhD

1 School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom

2 School of Medicine, Cardiff University, Cardiff, United Kingdom

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