Applying machine learning for perioperative adverse event prediction: a narrative review toward better clinical efficacy and usability.
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| Title: | Applying machine learning for perioperative adverse event prediction: a narrative review toward better clinical efficacy and usability. |
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| Authors: | Hao, Xuechao1,2 (AUTHOR) aneshxc@163.com, Wang, Yaqiang3 (AUTHOR), Li, Ke4 (AUTHOR), Zhu, Tao1 (AUTHOR), Herasevich, Vitaly2 (AUTHOR) vitaly@mayo.edu |
| Source: | Anesthesiology & Perioperative Science. Dec2025, Vol. 3 Issue 4, p1-17. 17p. |
| Database: | Academic Search Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 188771058 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=188771058 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s44254-025-00136-z Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 1 Titles: – TitleFull: Applying machine learning for perioperative adverse event prediction: a narrative review toward better clinical efficacy and usability. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hao, Xuechao – PersonEntity: Name: NameFull: Wang, Yaqiang – PersonEntity: Name: NameFull: Li, Ke – PersonEntity: Name: NameFull: Zhu, Tao – PersonEntity: Name: NameFull: Herasevich, Vitaly IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 27318389 Numbering: – Type: volume Value: 3 – Type: issue Value: 4 Titles: – TitleFull: Anesthesiology & Perioperative Science Type: main |
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