Development of a machine learning prognostic model for early prediction of scrub typhus progression at hospital admission based on clinical and laboratory features

Development of a machine learning prognostic model for early prediction of scrub typhus progression at hospital admission based on clinical and laboratory features

Background Scrub typhus (ST) is a life-threatening infectious disease caused by Orientia tsutsugamushi. Early prediction of whether the disease will progress to a severe state is crucial for clinicians to provide targeted medical care in advance.Methods This study retrospectively collected severe an...

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Bibliographic Details
Main Authors: Youguang Lu, Zixu Wang, Junhu Wang, Yingqing Mao, Chuanshen Jiang, Jinpiao Wu, Haizhou Liu, Haiming Yi, Chao Chen, Wei Guo, Liguan Liu, Yong Qi
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Annals of Medicine
Subjects:
Scrub typhus
machine learning model
prediction of severity
Gradient Boosting Decision Tree
forecast
Online Access:https://www.tandfonline.com/doi/10.1080/07853890.2025.2530696
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https://www.tandfonline.com/doi/10.1080/07853890.2025.2530696

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