A new machine learning model for predicting severity prognosis in patients with pulmonary embolism: Study protocol from Wenzhou, China

INTRODUCTION: Pulmonary embolism (PE) is a common thrombotic disease and potentially deadly cardiovascular disorder. The ratio of clinical misdiagnosis and missed diagnosis of PE is very large because patients with PE are asymptomatic or non-specific. METHODS: Using the clinical data from the First...

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Detalles Bibliográficos
Autores principales: Su, Hang, Shou, Yeqi, Fu, Yujie, Zhao, Dong, Heidari, Ali Asghar, Han, Zhengyuan, 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/PMC9802582/
https://www.ncbi.nlm.nih.gov/pubmed/36590908
http://dx.doi.org/10.3389/fninf.2022.1052868

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9802582/
https://www.ncbi.nlm.nih.gov/pubmed/36590908
http://dx.doi.org/10.3389/fninf.2022.1052868

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