A Reservoir Computing with Boosted Topology Model to Predict Encephalitis and Mortality for Patients with Severe Fever with Thrombocytopenia Syndrome: A Retrospective Multicenter Study

INTRODUCTION: Severe fever with thrombocytopenia syndrome virus (SFTSV) is an emerging tick-borne virus associated with a high rate of mortality, as well as encephalitis. We aim to develop and validate a machine learning model to early predict the potential life-threatening conditions of SFTS. METHO...

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Detalles Bibliográficos
Autores principales: Zheng, Hexiang, Geng, Yu, Gu, Changgui, Li, Ming, Mao, Minxin, Wan, Yawen, Yang, Huijie, Chen, Yuxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Healthcare 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10156074/
https://www.ncbi.nlm.nih.gov/pubmed/37138177
http://dx.doi.org/10.1007/s40121-023-00808-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10156074/
https://www.ncbi.nlm.nih.gov/pubmed/37138177
http://dx.doi.org/10.1007/s40121-023-00808-y

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