Considerations regarding a prediction model of surgical site infection after gastrointestinal surgery-Reference-Cited by-同舟云学术

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Considerations regarding a prediction model of surgical site infection after gastrointestinal surgery

Published:2024-04-09 Issue: Volume: Page:
ISSN:1743-9159
Container-title:International Journal of Surgery
language:en
Short-container-title:

Author:

Zhao Shenglin¹²,Zhou Hong²,He Mei¹²

Affiliation:

1. Office of Chongqing Cancer Prevention and Treatment, Chongqing University Cancer Hospital, Chongqing 400030, People’s Republic of China

2. Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing, People’s Republic of China

Publisher

Ovid Technologies (Wolters Kluwer Health)

Reference5 articles.

1. Prediction models of surgical site infection after gastrointestinal surgery: a nationwide prospective cohort study;Yang;Int J Surg,2024

2. Guidelines for developing and reporting machine learning predictive models in biomedical research: a multidisciplinary view;Luo;J Med Internet Res,2016

3. Methodological guidance for the evaluation and updating of clinical prediction models: a systematic review;Binuya;BMC Med Res Methodol,2022

4. Prognostic models for surgical-site infection in gastrointestinal surgery: systematic review;McLean;Br J Surg,2023

5. Surgical site infection after gastrointestinal surgery in high-income, middle-income, and low-income countries: a prospective, international, multicentre cohort study;Bhangu;Lancet Infect Dis,2018

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