Classification models using circulating neutrophil transcripts can detect unruptured intracranial aneurysm

Classification models using circulating neutrophil transcripts can detect unruptured intracranial aneurysm

Abstract Background Intracranial aneurysms (IAs) are dangerous because of their potential to rupture. We previously found significant RNA expression differences in circulating neutrophils between patients with and without unruptured IAs and trained machine learning models to predict presence of IA u...

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Bibliographic Details
Main Authors: Kerry E. Poppenberg, Vincent M. Tutino, Lu Li, Muhammad Waqas, Armond June, Lee Chaves, Kaiyu Jiang, James N. Jarvis, Yijun Sun, Kenneth V. Snyder, Elad I. Levy, Adnan H. Siddiqui, John Kolega, Hui Meng
Format: Article
Language:English
Published: BMC 2020-10-01
Series:Journal of Translational Medicine
Subjects:
Intracranial aneurysm
Neutrophil
Transcriptomics
Machine learning
Inflammation
Prediction model
Online Access:http://link.springer.com/article/10.1186/s12967-020-02550-2

Internet

http://link.springer.com/article/10.1186/s12967-020-02550-2

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