Identification of early prognostic biomarkers in Severe Fever with Thrombocytopenia Syndrome using machine learning algorithms

Identification of early prognostic biomarkers in Severe Fever with Thrombocytopenia Syndrome using machine learning algorithms

Objective We aimed at identifying acute phase biomarkers in Severe Fever with Thrombocytopenia Syndrome (SFTS), and to establish a model to predict mortality outcomes.Methods A retrospective analysis was conducted on multicenter clinical data. Group-based trajectory modeling (GBTM) was utilized to d...

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Bibliographic Details
Main Authors: Jie Zhu, Jianmei Zhou, Chunhui Tao, Guomei Xia, Bingyan Liu, Xiaowei Zheng, Xu Li, Zhenhua Zhang
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Annals of Medicine
Subjects:
Severe Fever with Thrombocytopenia Syndrome
critical phase
group-based trajectory fitting
machine learning prognostic model
Online Access:https://www.tandfonline.com/doi/10.1080/07853890.2025.2451184
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https://www.tandfonline.com/doi/10.1080/07853890.2025.2451184

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