Artificial Intelligence–Based Multimodal Risk Assessment Model for Surgical Site Infection (AMRAMS): Development and Validation Study

Artificial Intelligence–Based Multimodal Risk Assessment Model for Surgical Site Infection (AMRAMS): Development and Validation Study

BackgroundSurgical site infection (SSI) is one of the most common types of health care–associated infections. It increases mortality, prolongs hospital length of stay, and raises health care costs. Many institutions developed risk assessment models for SSI to help surgeons pr...

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Bibliographic Details
Main Authors: Chen, Weijia, Lu, Zhijun, You, Lijue, Zhou, Lingling, Xu, Jie, Chen, Ken
Format: Article
Language:English
Published: JMIR Publications 2020-06-01
Series:JMIR Medical Informatics
Online Access:http://medinform.jmir.org/2020/6/e18186/

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http://medinform.jmir.org/2020/6/e18186/

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