This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (1935) Machine Learning (2095) Artificial Intelligence (2162) Postoperative Monitoring and Telemonitoring (195) Surgery, Trauma and Surgical Sciences (204) Tools, Programs and Algorithms (384) Artificial Intelligence in Surgery and Perioperative Medicine (43)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68354, first published .
Machine Learning–Based Prediction of Early Complications Following Surgery for Intestinal Obstruction: Multicenter Retrospective Study

Machine Learning–Based Prediction of Early Complications Following Surgery for Intestinal Obstruction: Multicenter Retrospective Study

Machine Learning–Based Prediction of Early Complications Following Surgery for Intestinal Obstruction: Multicenter Retrospective Study

Authors of this article:

Pinjie Huang1 Author Orcid Image ;   Jirong Yang1 Author Orcid Image ;   Dizhou Zhao2 Author Orcid Image ;   Taojia Ran1 Author Orcid Image ;   Yuheng Luo1 Author Orcid Image ;   Dong Yang3 Author Orcid Image ;   Xueqin Zheng4 Author Orcid Image ;   Shaoli Zhou1 Author Orcid Image ;   Chaojin Chen1 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

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  1. Zhang T, Chen M, Yu Z, Ren Z, Wang L, Si Q, Lu X, Bu S, Shen S, Wang Q, Yu Y. Global, regional, and national burden of disease analysis on paralytic ileus and intestinal obstruction in adults aged 65 and over from 1990 to 2021, with projections for 2030: a Global Burden of Disease Study 2021 analysis. BMC Gastroenterology 2025;25(1) View
  2. Li C, Xu C, Xu J, Song W, Yu Z, Zhang Z, Wei D, Li W, Qian Y, Lei D. Development and validation of an interpretable shap-based machine learning model for predicting postoperative complications in laryngeal cancer. BMC Surgery 2025;25(1) View
  3. Manoharan M, Raja Iyub M, Zhang Y, Prabhakar P, Pon Avudaiappan A, Eldefrawy M, Sridhar S, Sakthivel D. Development of a Multivariable Machine Learning Model for the Prediction of Postoperative Ileus After Radical Cystectomy. Journal of Surgical Oncology 2025 View
  4. Gao S, Zhao X, Chen L, Yu J, Tian S, Zhou H, Chen J, Long S, He Q, Feng X. Enhancing privacy-preserving deployable large language models for perioperative complication detection: a targeted strategy with LoRA fine-tuning. npj Digital Medicine 2025;8(1) View