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- September 7, 2021.
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- Version 1 (March 29, 2021 - 09:32).
- You are viewing Version 2, the most recent version of this article.
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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Author Information
- Justin C Niestroy1,2,
- J Randall Moorman2,3,*,
- Maxwell A Levinson1,2,
- Sadnan Al Manir1,2,
- Timothy W Clark1,2,6,
- Karen D Fairchild2,4 and
- Douglas E Lake2,3,5
- 1Department of Public Health Sciences, University of Virginia
- 2Center for Advanced Medical Analytics, University of Virginia
- 3Department of Medicine, University of Virginia
- 4Department of Pediatrics, University of Virginia
- 5Department of Statistics, University of Virginia
- 6School of Data Science, University of Virginia
- ↵*Correspondence
: J Randall Moorman, rm3h{at}virginia.edu
Author contributions: Conception of the work: DEL, Design of the work: TWC, JRM, KDF, DEL, Acquisition of the data: JRM, KDF, DEL, Analysis of the data: JCN, MAL, SAM, JRM, DEL, Interpretation of the data: JCN, JRM, KDF, DEL, Creation of new software: JCN, MAL, SAM, TWC, Drafted or substantially revised the manuscript: JCN, TWC, JRM, KDF, DEL
Posted September 07, 2021.
Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis
