Development and validation of a nomogram for predicting all-cause mortality in American adult hypertensive populations

Development and validation of a nomogram for predicting all-cause mortality in American adult hypertensive populations

Backgrounds: Hypertension stands as the predominant global cause of mortality. A notable deficiency exists in terms of predictive models for mortality among individuals with hypertension. We aim to devise an effective nomogram model that possesses the capability to forecast all-cause mortality withi...

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Bibliographic Details
Main Authors: Long Yang, Xia Shen, Zulihuma Seyiti, Jing Tang, Abudushalamu Kasimujiang, Tuohutasheng Dejite, Ling Zhao, Xue-Feng Shan, Xiao-Ming Gao
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-11-01
Series:Frontiers in Pharmacology
Subjects:
nomogram
hypertension
NHANES
LASSO
mortality
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fphar.2023.1266870/full

Internet

https://www.frontiersin.org/articles/10.3389/fphar.2023.1266870/full

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