DySurv: dynamic deep learning model for survival analysis with conditional variational inference

While our method leverages non-parametric extensions to deep learning-guided estimations of the survival distribution, further deep learning paradigms could be explored.

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Publication Details

Journal
Journal of the American Medical Informatics Association
Published
2024-10-11
DOI
https://doi.org/10.1093/jamia/ocae271
Citations
7
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
2.43

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article

DySurv: dynamic deep learning model for survival analysis with conditional variational inference

Peter Watkinson, Tingting Zhu, Munib Mesinovic
7 citations
Journal of the American Medical Informatics Association
Machine Learning in Healthcare
2.43
article

DySurv: dynamic deep learning model for survival analysis with conditional variational inference

Peter Watkinson, Tingting Zhu, Munib Mesinovic
article en
7 citations

Abstract

While our method leverages non-parametric extensions to deep learning-guided estimations of the survival distribution, further deep learning paradigms could be explored.

Journal of the American Medical Informatics AssociationVol. 33(1)
University of Oxford (GB)
Royal Academy of Engineering, Engineering and Physical Sciences Research Council
Openalex Percentile: Top 9%
Machine Learning in Healthcare
2.43
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