CoxKAN: Kolmogorov-Arnold networks for interpretable, high-performance survival analysis

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Publication Details

Journal
Bioinformatics
Published
2025-07-21
DOI
https://doi.org/10.1093/bioinformatics/btaf413
Citations
15
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
37.21

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article

CoxKAN: Kolmogorov-Arnold networks for interpretable, high-performance survival analysis

Mireia Crispin‐Ortuzar, Robert E. Wray, William J. Knottenbelt, Zeyu Gao et al.
15 citations
Bioinformatics
Neural Networks and Applications
37.21
article

CoxKAN: Kolmogorov-Arnold networks for interpretable, high-performance survival analysis

Mireia Crispin‐Ortuzar, Robert E. Wray, William J. Knottenbelt, Zeyu Gao, Woody Zhidong Zhang, Jiashuai Liu, William McGough, Inês Machado
article en
15 citations

Abstract

No abstract available for this paper.
BioinformaticsVol. 41(8)
University of Cambridge (GB), Cambridge School (PT), Bridge University (SS), Xi'an Jiaotong University (CN)
Oregon Health and Science University, Cancer Research UK, National Institute for Health and Care Research, University of Warwick, University College London, Knight Cancer Institute, Oregon Health and Science University, Engineering and Physical Sciences Research Council, NIHR Cambridge Biomedical Research Centre
Openalex Percentile: Top 0%
Neural Networks and Applications
37.21
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