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

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

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Bibliographic Details
Main Author: Jie Zhu (126574) (author)
Other Authors: Jianmei Zhou (4016051) (author), Chunhui Tao (7055963) (author), Guomei Xia (13891020) (author), Bingyan Liu (9857447) (author), Xiaowei Zheng (544070) (author), Xu Li (23864) (author), Zhenhua Zhang (562631) (author)
Published: 2025
Subjects:
Medicine
Neuroscience
Sociology
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
Severe Fever with Thrombocytopenia Syndrome
critical phase
group-based trajectory fitting
machine learning prognostic model
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