Faculty, Staff and Student Publications
Publication Date
1-1-2023
Journal
Frontiers in Neurology
DOI
10.3389/fneur.2023.1347654
PMID
38164203
PMCID
PMC10758229
PubMedCentral® Posted Date
12-18-2023
PubMedCentral® Full Text Version
Post-print
Keywords
Big Data, intracerebral hemorrhage, ischemic stroke, machine learning, stroke, stroke risk, translational research
Published Open-Access
yes
Recommended Citation
Alexis Nétis Simpkins, Hari Kishan Reddy Indupuru, and Sean Isaac Savitz, "Editorial: Big Data Analytics To Advance Stroke and Cerebrovascular Disease: A Tool To Bridge Translational and Clinical Research" (2023). Faculty, Staff and Student Publications. 4977.
https://digitalcommons.library.tmc.edu/uthgsbs_docs/4977
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Bioinformatics Commons, Biomedical Informatics Commons, Genetic Phenomena Commons, Medical Genetics Commons, Neurology Commons, Oncology Commons