Deep learning-based survival analysis of bladder cancer patients in the Putuo District, Shanghai, China

The TabNet model showed robust performance in predicting bladder cancer survival, offering valuable insights for community-based management and follow-up strategies.

Authors

Ruojing Wang
Yuan Shen (ORCID: https://orcid.org/0000-0002-7811-1478)
Lijuan Yang (ORCID: https://orcid.org/0009-0006-7247-8064)
Shi Feiya
Qin Yicen

Institutions

Shanghai Municipal Center For Disease Control Prevention (CN)

Publication Details

Journal: Frontiers in Oncology
Published: 2025-11-25
DOI: https://doi.org/10.3389/fonc.2025.1619309
Primary Topic: Bladder and Urothelial Cancer Treatments
Type: article
Field-Weighted Citation Impact: 0.00

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article

Deep learning-based survival analysis of bladder cancer patients in the Putuo District, Shanghai, China

Ruojing Wang, Yuan Shen, Lijuan Yang, Shi Feiya et al.

Nov 25, 2025

Frontiers in Oncology

Bladder and Urothelial Cancer Treatments

article

Deep learning-based survival analysis of bladder cancer patients in the Putuo District, Shanghai, China

Ruojing Wang, Yuan Shen, Lijuan Yang, Shi Feiya, Qin Yicen

November 25, 2025article en

Abstract

The TabNet model showed robust performance in predicting bladder cancer survival, offering valuable insights for community-based management and follow-up strategies.

Frontiers in OncologyVol. 15

Shanghai Municipal Center For Disease Control Prevention (CN)

Openalex Percentile: Top 45%

Bladder and Urothelial Cancer Treatments

DOI Open Access PDF OpenAlex

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Deep learning-based survival analysis of bladder cancer patients in the Putuo District, Shanghai, China — Ruojing Wang, Yuan Shen, et al. · Frontiers in Oncology (2025) | TGRS Research Map | TGRS