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Early Physiological Trajectory-Based Phenotyping in Surgical Intensive Care Unit Patients: A Gaussian Mixture Modeling Approach Integrating Temperature, Central Venous Pressure, Fluid Balance, and Glycemic Dynamics

2026-07-14

Abstract excerpt

<title>Abstract</title> <p>Background Early recognition of physiological deterioration in surgical intensive care unit (ICU) patients remains challenging. Static snapshots of vital signs fail to capture dynamic trajectory patterns that may harbor prognostic information. We aimed to identify latent physiological trajectory phenotypes using Gaussian Mixture Modeling (GMM) applied to the first 72 hours of bedside m...

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Literature Corpus work
338d46e6-ed39-5b50-be00-0e43262aae6a
DOI
10.21203/rs.3.rs-10171245/v1
Open publication

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Early Physiological Trajectory-Based Phenotyping in Surgical Intensive Care Unit Patients: A Gaussian Mixture Modeling Approach Integrating Temperature, Central Venous Pressure, Fluid Balance, and Glycemic DynamicsDOI 10.21203/rs.3.rs-10171245/v1
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