Construct validation of machine learning for accurately predicting the risk of postoperative surgical site infection following spine surgery-Reference-Cited by-同舟云学术

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Construct validation of machine learning for accurately predicting the risk of postoperative surgical site infection following spine surgery

Published:2023-11 Issue: Volume: Page:
ISSN:0195-6701
Container-title:Journal of Hospital Infection
language:en
Short-container-title:Journal of Hospital Infection

Author:

Zhang Qinyang,Chen Guolin,Zhu Qing,Liu Zhipeng,Li Yang,Li Rulin,Zhao Tianyu,Liu Xuepeng,Zhu Yinxing,Zhang Zhenxiang,Li Haijun

Publisher

Elsevier BV

Subject

Infectious Diseases,Microbiology (medical),General Medicine

Reference57 articles.

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2. Guideline update for the performance of fusion procedures for degenerative disease of the lumbar spine. Part 1: introduction and methodology;Kaiser;J Neurosurg Spine,2014

3. Lumbar fusion for degenerative disease: a systematic review and meta-analysis;Yavin;Neurosurgery,2017

4. Lumbar spine fusion and stabilization: hardware, techniques, and imaging appearances;Rutherford;Radiographics,2007

5. Rho-dependent transcription termination regulates the toxin-antitoxin modules of cryptic prophages to silence their expression in escherichia coli;Hafeezunnisa;Febs Lett,2021

Cited by 3 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. Development and evaluation of a model for predicting the risk of healthcare-associated infections in patients admitted to intensive care units;Frontiers in Public Health;2024-09-12

2. Breaking Boundaries in Spinal Surgery: GPT-4's Quest to Revolutionize Surgical Site Infection Management;The Journal of Infectious Diseases;2024-08-13

3. Surgical site infections in the Far East;Journal of Hospital Infection;2024-04

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