Machine learning-based evaluation of application value of pulse wave parameter model in the diagnosis of hypertensive disorder in pregnancy

Machine learning-based evaluation of application value of pulse wave parameter model in the diagnosis of hypertensive disorder in pregnancy

Hypertensive disorder in pregnancy (HDP) remains a major health burden, and it is associated with systemic cardiovascular adaptation. The pulse wave is an important basis for evaluating the status of the human cardiovascular system. This research aims to evaluate the application value of pulse waves...

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Bibliographic Details
Main Authors: Xinyu Zhang, Yu Meng, Mei Jiang, Lin Yang, Kuixing Zhang, Cuiting Lian, Ziwei Li
Format: Article
Language:English
Published: AIMS Press 2023-03-01
Series:Mathematical Biosciences and Engineering
Subjects:
hypertensive disorders in pregnancy
pulse wave parameters
hemodynamic factors
support vector machine
predictive model
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023363?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2023363?viewType=HTML

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