Forecasting of Continuous Vital Sign Using Multivariate Auto-Regressive Models-Reference-Cited by-同舟云学术

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Forecasting of Continuous Vital Sign Using Multivariate Auto-Regressive Models

Published:2022-07-11 Issue: Volume: Page:
ISSN:
Container-title:2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Rasmussen Soren M.¹,Molgaard Jesper²,Haahr-Raunkjaer Camilla²,Meyhoff Christian S.³,Aasvang Eske³,Sorensen Helge B. D.¹

Affiliation:

1. Technical University of Denmark,Department of Health Technologies,Kongens Lyngby,Denmark

2. Copenhagen University Hospital - Rigshospitalet,Department of Anesthesiology,Copenhagen,Denmark

3. Copenhagen University Hospital - Bispebjerg Hospital,Department of Anesthesia and Intensive Care,Copenhagen,Denmark

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9870821/9870822/09871010.pdf?arnumber=9871010

Reference11 articles.

1. A probabilistic model for early prediction of abnormal clinical events using vital sign correlations in home-based monitoring

2. A critical assessment of early warning score records in 168,000 patients

3. Continuous monitoring of vital sign abnormalities; association to clinical complications in 500 postoperative patients

4. Rank-Normalization, Folding, and Localization: An Improved Rˆ for Assessing Convergence of MCMC (with Discussion)

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