Machine-learning-based prediction model for Clavien-Dindo grade ≥ II complications after neoadjuvant therapy and laparoscopic gastrectomy in gastric cancer

The NNE-based prediction model effectively identified patients with GC at high risk of Clavien-Dindo grade ≥ II complications after neoadjuvant therapy and laparoscopic gastrectomy.

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Publication Details

Journal
World Journal of Gastrointestinal Surgery
Published
2025-12-25
DOI
https://doi.org/10.4240/wjgs.v17.i12.112520
Primary Topic
Gastric Cancer Management and Outcomes
Type
article
Field-Weighted Citation Impact
0.00
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article

Machine-learning-based prediction model for Clavien-Dindo grade ≥ II complications after neoadjuvant therapy and laparoscopic gastrectomy in gastric cancer

Tian Yu, Zirui Zhao, Jian-Chun Yu, Ru-Yin Li
World Journal of Gastrointestinal Surgery
Gastric Cancer Management and Outcomes
article

Machine-learning-based prediction model for Clavien-Dindo grade ≥ II complications after neoadjuvant therapy and laparoscopic gastrectomy in gastric cancer

Tian Yu, Zirui Zhao, Jian-Chun Yu, Ru-Yin Li
article en

Abstract

The NNE-based prediction model effectively identified patients with GC at high risk of Clavien-Dindo grade ≥ II complications after neoadjuvant therapy and laparoscopic gastrectomy.

World Journal of Gastrointestinal SurgeryVol. 17(12)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking Union Medical College Hospital (CN)
Good health and well-being
Openalex Percentile: Top 28%
Gastric Cancer Management and Outcomes
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