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September 1, 2024Infection and Drug ResistanceOpen Access

A Machine Learning Model Based on CT Imaging Metrics and Clinical Features to Predict the Risk of Hospital-Acquired Pneumonia After Traumatic Brain Injury

Shaojie Li Qiangqiang Feng Jiayin Wang Baofang Wu Weizhi Qiu Yiming Zhuang Yong Wang Hongzhi Gao

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Abstract

To develop a validated machine learning (ML) algorithm for predicting the risk of hospital-acquired pneumonia (HAP) in patients with traumatic brain injury (TBI).

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Cite This Study

Li et al. (2024) studied this question.

synapsesocial.com/papers/68e59c4cb6db643587536742 https://doi.org/10.2147/idr.s473825

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