Continuous sepsis trajectory prediction using tensor-reduced physiological signals.
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| Title: | Continuous sepsis trajectory prediction using tensor-reduced physiological signals. |
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| Authors: | Alge OP; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA. oialge@umich.edu., Pickard J; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA., Zhang W; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA., Cheng S; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA., Derksen H; Department of Mathematics, Northeastern University, Boston, MA, USA., Omenn GS; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.; Departments of Internal Medicine, Human Genetics, and Environmental Health, Ann Arbor, MI, USA., Gryak J; Department of Computer Science, Queens College, CUNY, Queens, NY, USA., VanEpps JS; Michigan Center for Integrative Research in Critical Care, University of Michigan, Ann Arbor, MI, USA.; Department of Emergency Medicine, University of Michigan, Ann Arbor, MI, USA.; Biointerfaces Institute, University of Michigan, Ann Arbor, MI, USA.; Macromolecular Science and Engineering, University of Michigan, Ann Arbor, MI, USA., Najarian K; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.; Michigan Center for Integrative Research in Critical Care, University of Michigan, Ann Arbor, MI, USA.; Department of Emergency Medicine, University of Michigan, Ann Arbor, MI, USA.; Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA. |
| Source: | Scientific reports [Sci Rep] 2024 Aug 06; Vol. 14 (1), pp. 18155. Date of Electronic Publication: 2024 Aug 06. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2045-2322 |
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| DOI: | 10.1038/s41598-024-68901-x |
