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Guo-Chen Li

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Open access Sep 2026

Interpretable machine learning models using early dynamic clinical features to predict early hemodynamic stabilization after vasopressor initiation in patients with septic shock: development in MIMIC-IV and external validation in eICU

Background Early hemodynamic stabilization after vasopressor initiation in septic shock is heterogeneous and difficult to predict. We aimed to develop and externally validate interpretable machine learning models for predicting early hemodynamic stabilization. Methods This retrospective study used MIMIC-IV for model de...

Shu-Jiao Lu, Ze-Kun Wei, Guo-Chen Li et al. · 0 citations
Open access Aug 2026

Integrated biomarker model based on cTnI, BNP, and D-dimer for early risk stratification in acute aortic dissection

Background Early identification of patients at high risk of death following acute aortic dissection (AAD) remains a major clinical challenge because mortality is driven by multiple interacting pathophysiological mechanisms, including myocardial injury, hemodynamic stress, and activation of coagulation pathways. We aime...

Yan-Fen Yao, Guo-Chen Li, Li Kong · 0 citations

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