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

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

IntroductionPulmonary 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.MethodsUsing the clinical data from the First Affil...

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Bibliographic Details
Main Authors: Hang Su, Yeqi Shou, Yujie Fu, Dong Zhao, Ali Asghar Heidari, Zhengyuan Han, Peiliang Wu, Huiling Chen, Yanfan Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-12-01
Series:Frontiers in Neuroinformatics
Subjects:
feature selection
extreme learning machine
disease diagnosis
swarm intelligence
pulmonary embolism
Online Access:https://www.frontiersin.org/articles/10.3389/fninf.2022.1052868/full

Internet

https://www.frontiersin.org/articles/10.3389/fninf.2022.1052868/full

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