Machine Learning-based Correlation Study between Perioperative Immunonutritional Index and Postoperative Anastomotic Leakage in Patients with Gastric Cancer-Reference-Cited by-同舟云学术

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Machine Learning-based Correlation Study between Perioperative Immunonutritional Index and Postoperative Anastomotic Leakage in Patients with Gastric Cancer

Published:2022 Issue:7 Volume:19 Page:1173-1183
ISSN:1449-1907
Container-title:International Journal of Medical Sciences
language:en
Short-container-title:Int. J. Med. Sci.

Author:

Liu Xuanyu,Lei Su,Wei Qi,Wang Yizhou,Liang Haibin,Chen Lei

Publisher

Ivyspring International Publisher

Subject

General Medicine

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predicting adverse birth outcome among childbearing women in Sub-Saharan Africa: employing innovative machine learning techniques;BMC Public Health;2024-07-29

2. LightGBM is an Effective Predictive Model for Postoperative Complications in Gastric Cancer: A Study Integrating Radiomics with Ensemble Learning;Journal of Imaging Informatics in Medicine;2024-06-28

3. Employing advanced supervised machine learning approaches for predicting micronutrient intake status among children aged 6–23 months in Ethiopia;Frontiers in Nutrition;2024-06-11

4. Machine learning improves prediction of postoperative outcomes after gastrointestinal surgery: a systematic review and meta-analysis;Journal of Gastrointestinal Surgery;2024-06

5. Gastrointestinal Fistula in Radical Distal Gastrectomy: Case–Control Study from a High-Volume Hospital;Journal of Laparoendoscopic & Advanced Surgical Techniques;2023-12-01

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