Sepsis Trajectory Prediction Using Privileged Information and Continuous Physiological Signals.
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| Title: | Sepsis Trajectory Prediction Using Privileged Information and Continuous Physiological Signals. |
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| Authors: | Alge OP; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA., Gryak J; Department of Computer Science, Queens College, The City University of New York, Flushing, NY 11367, USA., VanEpps JS; Michigan Center for Integrative Research in Critical Care, University of Michigan, Ann Arbor, MI 48109, USA.; Department of Emergency Medicine, University of Michigan, Ann Arbor, MI 48109, USA.; Biointerfaces Institute, University of Michigan, Ann Arbor, MI 48109, USA.; Macromolecular Science and Engineering, University of Michigan, Ann Arbor, MI 48109, USA.; The Max Harry Weil Institute for Critical Care Research and Innovation, University of Michigan, Ann Arbor, MI 48109, USA., Najarian K; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA.; Michigan Center for Integrative Research in Critical Care, University of Michigan, Ann Arbor, MI 48109, USA.; Department of Emergency Medicine, University of Michigan, Ann Arbor, MI 48109, USA.; The Max Harry Weil Institute for Critical Care Research and Innovation, University of Michigan, Ann Arbor, MI 48109, USA.; Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109, USA.; Michigan Institute for Data Science, University of Michigan, Ann Arbor, MI 48109, USA. |
| Source: | Diagnostics (Basel, Switzerland) [Diagnostics (Basel)] 2024 Jan 23; Vol. 14 (3). Date of Electronic Publication: 2024 Jan 23. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101658402 Publication Model: Electronic Cited Medium: Print ISSN: 2075-4418 (Print) Linking ISSN: 20754418 NLM ISO Abbreviation: Diagnostics (Basel) Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2075-4418 |
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| DOI: | 10.3390/diagnostics14030234 |
