Prediction of factors contributing to Pain Intensity among low back pain patients: A comparative machine learning frameworks (Random Forest versus XGBoost).
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| Title: | Prediction of factors contributing to Pain Intensity among low back pain patients: A comparative machine learning frameworks (Random Forest versus XGBoost). |
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| Authors: | Algamdi, Maaidah M.1 (AUTHOR) ialghamdi@ut.edu.sa, Alghamdi, Ali H.2 (AUTHOR) |
| Source: | PLoS ONE. 7/21/2026, Vol. 21 Issue 7, p1-23. 23p. |
| 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: 195522693 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Prediction of factors contributing to Pain Intensity among low back pain patients: A comparative machine learning frameworks (Random Forest versus XGBoost). – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Algamdi%2C+Maaidah+M%2E%22">Algamdi, Maaidah M.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> ialghamdi@ut.edu.sa</i><br /><searchLink fieldCode="AR" term="%22Alghamdi%2C+Ali+H%2E%22">Alghamdi, Ali H.</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 7/21/2026, Vol. 21 Issue 7, p1-23. 23p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=195522693 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pone.0354370 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 23 StartPage: 1 Titles: – TitleFull: Prediction of factors contributing to Pain Intensity among low back pain patients: A comparative machine learning frameworks (Random Forest versus XGBoost). Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Algamdi, Maaidah M. – PersonEntity: Name: NameFull: Alghamdi, Ali H. IsPartOfRelationships: – BibEntity: Dates: – D: 21 M: 07 Text: 7/21/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19326203 Numbering: – Type: volume Value: 21 – Type: issue Value: 7 Titles: – TitleFull: PLoS ONE Type: main |
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