Data analysis protocol for early autonomic dysfunction characterization after severe traumatic brain injury.
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| Title: | Data analysis protocol for early autonomic dysfunction characterization after severe traumatic brain injury. |
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| Authors: | Dong K; Center for Data Science, Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, United States., Krishnamoorthy V; Critical Care and Perioperative Population Health Research (CAPER) Unit, Department of Anesthesiology, Duke University, Durham, NC, United States.; Department of Anesthesiology, School of Medicine, Duke University, Durham, NC, United States., Vavilala MS; Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, United States., Miller J; Department of Emergency Medicine, Henry Ford Hospital, Detroit, MI, United States., Minic Z; Department of Emergency Medicine, School of Medicine, Wayne State University, Detroit, MI, United States.; Faculty of Biotechnology and Drug Development, University of Rijeka, Rijeka, Croatia., Ohnuma T; Department of Anesthesiology, School of Medicine, Duke University, Durham, NC, United States., Laskowitz D; Department of Neurology, Duke University Medical Center, Durham, NC, United States., Goldstein BA; Department of Biostatistics and Bioinformatics, School of Medicine, Duke University, Durham, NC, United States., Ulloa L; Department of Anesthesiology, School of Medicine, Duke University, Durham, NC, United States., Sheng H; Department of Anesthesiology, School of Medicine, Duke University, Durham, NC, United States., Korley FK; Department of Emergency Medicine, University of Michigan, Ann Arbor, MI, United States., Meurer W; Department of Emergency Medicine, University of Michigan, Ann Arbor, MI, United States.; Department of Neurology, University of Michigan, Ann Arbor, MI, United States., Hu X; Center for Data Science, Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, United States. |
| Source: | Frontiers in neurology [Front Neurol] 2024 Dec 24; Vol. 15, pp. 1484986. Date of Electronic Publication: 2024 Dec 24 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101546899 Publication Model: eCollection Cited Medium: Print ISSN: 1664-2295 (Print) Linking ISSN: 16642295 NLM ISO Abbreviation: Front Neurol Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1664-2295 |
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| DOI: | 10.3389/fneur.2024.1484986 |
