Using decision trees to explore the association between the length of stay and potentially avoidable readmissions: A retrospective cohort study.
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| Title: | Using decision trees to explore the association between the length of stay and potentially avoidable readmissions: A retrospective cohort study. |
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| Authors: | Alyahya, Mohammad S.1, Msalyahya@just.edu.jo, Hijazi, Heba H.1, Alshraideh, Hussam A.2, Al-Nasser, Amjad D.3 |
| Source: | Informatics for Health & Social Care; Dec2017, Vol. 42 Issue 4, p361-377, 17p |
| 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: 125829248 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=125829248 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/17538157.2016.1269105 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 361 Titles: – TitleFull: Using decision trees to explore the association between the length of stay and potentially avoidable readmissions: A retrospective cohort study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Alyahya, Mohammad S. – PersonEntity: Name: NameFull: Hijazi, Heba H. – PersonEntity: Name: NameFull: Alshraideh, Hussam A. – PersonEntity: Name: NameFull: Al-Nasser, Amjad D. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2017 Type: published Y: 2017 Identifiers: – Type: issn-print Value: 17538157 Numbering: – Type: volume Value: 42 – Type: issue Value: 4 Titles: – TitleFull: Informatics for Health & Social Care Type: main |
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