Machine learning integration of multimodal data identifies key features of circulating NT-proBNP in people without cardiovascular diseases

Machine learning integration of multimodal data identifies key features of circulating NT-proBNP in people without cardiovascular diseases

Abstract N-Terminal Pro-Brain Natriuretic Peptide (NT-proBNP) is important for diagnosing and predicting heart failure or many other diseases. However, few studies have comprehensively assessed the factors correlated with NT-proBNP levels in people with cardiovascular health. We used data from the 1...

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Bibliographic Details
Main Authors: Zhiyuan Ning, Xuanfei Jiang, Huan Huang, Honggang Ma, Ji Luo, Xiangyan Yang, Bing Zhang, Ying Liu
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Machine learning
Circulating NT-proBNP
National health and nutrition examination survey (NHANES)
People without cardiovascular diseases
Public health
Personalized medicine
Online Access:https://doi.org/10.1038/s41598-025-96689-x
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https://doi.org/10.1038/s41598-025-96689-x

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