Detection of pulmonary embolism severity using clinical characteristics, hematological indices, and machine learning techniques

INTRODUCTION: Pulmonary embolism (PE) is a cardiopulmonary condition that can be fatal. PE can lead to sudden cardiovascular collapse and is potentially life-threatening, necessitating risk classification to modify therapy following the diagnosis of PE. We collected clinical characteristics, routine...

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Detalles Bibliográficos
Autores principales: Su, Hang, Han, Zhengyuan, Fu, Yujie, Zhao, Dong, Yu, Fanhua, Heidari, Ali Asghar, Zhang, Yu, Shou, Yeqi, Wu, Peiliang, Chen, Huiling, Chen, Yanfan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9800512/
https://www.ncbi.nlm.nih.gov/pubmed/36590906
http://dx.doi.org/10.3389/fninf.2022.1029690

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9800512/
https://www.ncbi.nlm.nih.gov/pubmed/36590906
http://dx.doi.org/10.3389/fninf.2022.1029690

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