Predicting sepsis onset using a machine learned causal probabilistic network algorithm based on electronic health records data.
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| Title: | Predicting sepsis onset using a machine learned causal probabilistic network algorithm based on electronic health records data. |
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| Authors: | Valik, John Karlsson1,2 (AUTHOR) john.karlsson.valik@ki.se, Ward, Logan3,4 (AUTHOR), Tanushi, Hideyuki1 (AUTHOR), Johansson, Anders F.5 (AUTHOR), Färnert, Anna1,2 (AUTHOR), Mogensen, Mads Lause3 (AUTHOR), Pickering, Brian W.6 (AUTHOR), Herasevich, Vitaly6 (AUTHOR), Dalianis, Hercules7 (AUTHOR), Henriksson, Aron7 (AUTHOR), Nauclér, Pontus1,2 (AUTHOR) |
| Source: | Scientific Reports. 7/20/2023, Vol. 13 Issue 1, p1-12. 12p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 165112392 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=165112392 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-023-38858-4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 1 Titles: – TitleFull: Predicting sepsis onset using a machine learned causal probabilistic network algorithm based on electronic health records data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Valik, John Karlsson – PersonEntity: Name: NameFull: Ward, Logan – PersonEntity: Name: NameFull: Tanushi, Hideyuki – PersonEntity: Name: NameFull: Johansson, Anders F. – PersonEntity: Name: NameFull: Färnert, Anna – PersonEntity: Name: NameFull: Mogensen, Mads Lause – PersonEntity: Name: NameFull: Pickering, Brian W. – PersonEntity: Name: NameFull: Herasevich, Vitaly – PersonEntity: Name: NameFull: Dalianis, Hercules – PersonEntity: Name: NameFull: Henriksson, Aron – PersonEntity: Name: NameFull: Nauclér, Pontus IsPartOfRelationships: – BibEntity: Dates: – D: 20 M: 07 Text: 7/20/2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 20452322 Numbering: – Type: volume Value: 13 – Type: issue Value: 1 Titles: – TitleFull: Scientific Reports Type: main |
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