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Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis
Justin C Niestroy, View ORCID ProfileJ Randall Moorman, Maxwell A Levinson, Sadnan Al Manir, Timothy W Clark, Karen D Fairchild, Douglas E Lake
doi: https://doi.org/10.1101/2021.03.26.437138
Justin C Niestroy
1Department of Public Health Sciences, University of Virginia
2Center for Advanced Medical Analytics, University of Virginia
J Randall Moorman
2Center for Advanced Medical Analytics, University of Virginia
3Department of Medicine, University of Virginia
Maxwell A Levinson
1Department of Public Health Sciences, University of Virginia
2Center for Advanced Medical Analytics, University of Virginia
Sadnan Al Manir
1Department of Public Health Sciences, University of Virginia
2Center for Advanced Medical Analytics, University of Virginia
Timothy W Clark
1Department of Public Health Sciences, University of Virginia
2Center for Advanced Medical Analytics, University of Virginia
6School of Data Science, University of Virginia
Karen D Fairchild
2Center for Advanced Medical Analytics, University of Virginia
4Department of Pediatrics, University of Virginia
Douglas E Lake
2Center for Advanced Medical Analytics, University of Virginia
3Department of Medicine, University of Virginia
5Department of Statistics, University of Virginia

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Posted September 07, 2021.
Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis
Justin C Niestroy, J Randall Moorman, Maxwell A Levinson, Sadnan Al Manir, Timothy W Clark, Karen D Fairchild, Douglas E Lake
bioRxiv 2021.03.26.437138; doi: https://doi.org/10.1101/2021.03.26.437138
Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis
Justin C Niestroy, J Randall Moorman, Maxwell A Levinson, Sadnan Al Manir, Timothy W Clark, Karen D Fairchild, Douglas E Lake
bioRxiv 2021.03.26.437138; doi: https://doi.org/10.1101/2021.03.26.437138
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