Machine Learning Approaches-Driven for Mortality Prediction for Patients Undergoing Craniotomy in ICU Article Swipe

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Ronguo Yu , Shaobo Wang , Jingqing Xu , Qiqi Wang , Xinjun He , Jun Li , Xiuling Shang , Han Chen , Youjun Liu ·

YOU? · · 2021 · Open Access · · DOI: https://doi.org/10.1080/02699052.2021.2008491

This study established the mortality predictive model of patients who had undergone craniotomy in ICU. Identification of the factors that had great influence on mortality has the potential to provide auxiliary decision support for clinical medical staff on their practices.

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Brier score Intensive care unit Medicine Receiver operating characteristic Gradient boosting Machine learning Predictive modelling Artificial intelligence Craniotomy Emergency medicine Intensive care medicine Computer science Surgery Random forest

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Type: article
Language: en
Landing Page: https://doi.org/10.1080/02699052.2021.2008491
PDF: https://www.tandfonline.com/doi/pdf/10.1080/02699052.2021.2008491?needAccess=true
OA Status: bronze
Cited By: 7
References: 40
Related Works: 10
OpenAlex ID: https://openalex.org/W4210817104

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