Perioperative factors associated with survival following surgery for pancreatic cancer – a nationwide analysis of 473 cases from Denmark.

Autor: Laura Marr Spore, Emilie Even Dencker, Eske Aasvang Kvanner, Carsten Palnaes Hansen, Stefan Kobbelgaard Burgdorf, Paul Suno Krohn, Sophie Louise Gisela Kollbeck, Jan Henrik Storkholm, Martin Sillesen

Publikováno v: BMC Surgery, Vol 24, Iss 1, Pp 1-11 (2024)

Abstract Background Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal cancers worldwide, with an overall 5-year survival rate of only 5%. The effect of perioperative treatment factors including duration of surgery, blood transfus

Externí odkaz: https://doaj.org/article/d518c55a6c60473fa6c63ed450872528

Forecasting of Continuous Vital Sign Using Multivariate Auto-Regressive Models

Autor: Soren M. Rasmussen, Jesper Molgaard, Camilla Haahr-Raunkjaer, Christian S. Meyhoff, Eske Aasvang, Helge B. D. Sorensen

Publikováno v: Rasmussen, S M, Molgaard, J, Haahr-Raunkjaer, C, Meyhoff, C S, Aasvang, E & Sorensen, H B D 2022, Forecasting of Continuous Vital Sign Using Multivariate Auto-Regressive Models . in 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022 . IEEE, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, vol. 2022-July, pp. 385-388, 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022, Glasgow, United Kingdom, 11/07/2022 . https://doi.org/10.1109/EMBC48229.2022.9871010
Rasmussen, S M, Mølgaard, J, Haahr-Raunkjær, C, Meyhoff, C S, Aasvang, E & Sørensen, H B D 2022, Forecasting of Continuous Vital Sign Using Multivariate Auto-Regressive Models . in Proceedings of 44 th Annual International Conference of the IEEE Engineering in Medicine & Biology Society ., 9871010, IEEE, pp. 385-388, 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Glasgow, United Kingdom, 11/07/2022 . https://doi.org/10.1109/EMBC48229.2022.9871010

This project assessed the use of multivariate auto-regressive (MAR) models to create forecasts of continuous vital signs in hospitalized patients. A total of 20 hours continuous (1/60Hz) heart rate and respiration rate from eight postoperative patien

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95bfc63148e170c1689df480793885a3
https://curis.ku.dk/portal/da/publications/forecasting-of-continuous-vital-sign-using-multivariate-autoregressive-models(ac42185c-3028-4101-ae95-ba2aa136afd6).html