Using an explainable machine learning approach to prioritize factors contributing to healthcare professionals' burnout.
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| Title: | Using an explainable machine learning approach to prioritize factors contributing to healthcare professionals' burnout. |
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| Authors: | Pillai, Malvika1,2,3, Liu, Chao Chin4,5, Kwong, Elizabeth3,5, Kratzke, Ian5, Charguia, Nadia6, Mazur, Lukasz3,5, Adapa, Karthik3,5, karthikk@live.unc.edu |
| Source: | Journal of Intelligent Information Systems; Aug2024, Vol. 62 Issue 4, p1113-1124, 12p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 179460663 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=aci&AN=179460663 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10844-024-00862-z Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 1113 Titles: – TitleFull: Using an explainable machine learning approach to prioritize factors contributing to healthcare professionals' burnout. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Pillai, Malvika – PersonEntity: Name: NameFull: Liu, Chao Chin – PersonEntity: Name: NameFull: Kwong, Elizabeth – PersonEntity: Name: NameFull: Kratzke, Ian – PersonEntity: Name: NameFull: Charguia, Nadia – PersonEntity: Name: NameFull: Mazur, Lukasz – PersonEntity: Name: NameFull: Adapa, Karthik IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 09259902 Numbering: – Type: volume Value: 62 – Type: issue Value: 4 Titles: – TitleFull: Journal of Intelligent Information Systems Type: main |
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