Mining multi-site clinical data to develop machine learning MRI biomarkers: application to neonatal hypoxic ischemic encephalopathy

Mining multi-site clinical data to develop machine learning MRI biomarkers: application to neonatal hypoxic ischemic encephalopathy

Abstract Background Secondary and retrospective use of hospital-hosted clinical data provides a time- and cost-efficient alternative to prospective clinical trials for biomarker development. This study aims to create a retrospective clinical dataset of Magnetic Resonance Images (MRI) and clinical re...

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Bibliographic Details
Main Authors: Rebecca J. Weiss, Sara V. Bates, Ya’nan Song, Yue Zhang, Emily M. Herzberg, Yih-Chieh Chen, Maryann Gong, Isabel Chien, Lily Zhang, Shawn N. Murphy, Randy L. Gollub, P. Ellen Grant, Yangming Ou
Format: Article
Language:English
Published: BMC 2019-11-01
Series:Journal of Translational Medicine
Subjects:
Neonatal encephalopathy
Hypoxic ischemic encephalopathy
MRI
Biomarkers
Machine learning
Outcome prediction
Online Access:http://link.springer.com/article/10.1186/s12967-019-2119-5

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http://link.springer.com/article/10.1186/s12967-019-2119-5

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