Performance of machine learning algorithms for surgical site infection case detection and prediction: A systematic review and meta-analysis-Reference-Cited by-同舟云学术

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Performance of machine learning algorithms for surgical site infection case detection and prediction: A systematic review and meta-analysis

Published:2022-12 Issue: Volume:84 Page:
ISSN:2049-0801
Container-title:Annals of Medicine & Surgery
language:en
Short-container-title:

Author:

Wu Guosong,Khair Shahreen,Yang Fengjuan,Cheligeer Cheligeer,Southern Danielle,Zhang Zilong,Feng Yuanchao,Xu Yuan,Quan Hude,Williamson Tyler,Eastwood Cathy A.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

General Medicine,Surgery

Cited by 14 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. Automated Identification of Postoperative Infections to Allow Prediction and Surveillance Based on Electronic Health Record Data: Scoping Review;JMIR Medical Informatics;2024-09-10

2. Modernizing Surgical Quality: A Novel Approach to Improving Detection of Surgical Site Infections in the Veteran Population;Surgical Infections;2024-09-01

3. An explainable long short-term memory network for surgical site infection identification;Surgery;2024-07

4. Precision in Prevention: Tailoring Single-Use Negative Pressure Wound Therapy Utilization Through Artificial Intelligence-Based Surgical Site Complications Risk and Cost Modeling;Surgical Infections;2024-05-01

5. The centre for health informatics: a novel approach to accelerating the field of health data science;International Journal of Population Data Science;2024-03-21

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