Predicting pregnancy-related pelvic girdle pain using machine learning.
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| Title: | Predicting pregnancy-related pelvic girdle pain using machine learning. |
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| Authors: | Ashrafi A; School of Health Sciences, Western Sydney University, Sydney, New South Wales, Australia. Electronic address: a.ashrafi@westernsydney.edu.au., Thomson D; School of Health Sciences, Western Sydney University, Sydney, New South Wales, Australia., Khorshidi HA; School of Computing and Information Systems, The University of Melbourne, Parkville, Victoria, Australia; School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia., Marashi A; School of Medical Science, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia., Beales D; School of Allied Health, Faculty of Health Sciences, Curtin University, Perth, WA, Australia; enAble Institute, Faculty of Health Sciences, Curtin University, Perth, WA, Australia., Ceprnja D; Department of Physiotherapy, Westmead Hospital, Sydney, New South Wales, Australia; School of Science and Health, Western Sydney University, Sydney, New South Wales, Australia., Gupta A; School of Health Sciences, Western Sydney University, Sydney, New South Wales, Australia; Department of Physiotherapy, Westmead Hospital, Sydney, New South Wales, Australia. |
| Source: | Musculoskeletal science & practice [Musculoskelet Sci Pract] 2025 Jun; Vol. 77, pp. 103321. Date of Electronic Publication: 2025 Mar 25. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 101692753 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2468-7812 (Electronic) Linking ISSN: 24687812 NLM ISO Abbreviation: Musculoskelet Sci Pract Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40250138 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Predicting pregnancy-related pelvic girdle pain using machine learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Ashrafi+A%22">Ashrafi A</searchLink>; School of Health Sciences, Western Sydney University, Sydney, New South Wales, Australia. Electronic address: a.ashrafi@westernsydney.edu.au.<br /><searchLink fieldCode="AU" term="%22Thomson+D%22">Thomson D</searchLink>; School of Health Sciences, Western Sydney University, Sydney, New South Wales, Australia.<br /><searchLink fieldCode="AU" term="%22Khorshidi+HA%22">Khorshidi HA</searchLink>; School of Computing and Information Systems, The University of Melbourne, Parkville, Victoria, Australia; School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia.<br /><searchLink fieldCode="AU" term="%22Marashi+A%22">Marashi A</searchLink>; School of Medical Science, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.<br /><searchLink fieldCode="AU" term="%22Beales+D%22">Beales D</searchLink>; School of Allied Health, Faculty of Health Sciences, Curtin University, Perth, WA, Australia; enAble Institute, Faculty of Health Sciences, Curtin University, Perth, WA, Australia.<br /><searchLink fieldCode="AU" term="%22Ceprnja+D%22">Ceprnja D</searchLink>; Department of Physiotherapy, Westmead Hospital, Sydney, New South Wales, Australia; School of Science and Health, Western Sydney University, Sydney, New South Wales, Australia.<br /><searchLink fieldCode="AU" term="%22Gupta+A%22">Gupta A</searchLink>; School of Health Sciences, Western Sydney University, Sydney, New South Wales, Australia; Department of Physiotherapy, Westmead Hospital, Sydney, New South Wales, Australia. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101692753%22">Musculoskeletal science & practice</searchLink> [Musculoskelet Sci Pract] 2025 Jun; Vol. 77, pp. 103321. <i>Date of Electronic Publication: </i>2025 Mar 25. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>101692753 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2468-7812 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2224687812%22">24687812 </searchLink><i>NLM ISO Abbreviation: </i>Musculoskelet Sci Pract <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40250138 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.msksp.2025.103321 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 103321 Titles: – TitleFull: Predicting pregnancy-related pelvic girdle pain using machine learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ashrafi A – PersonEntity: Name: NameFull: Thomson D – PersonEntity: Name: NameFull: Khorshidi HA – PersonEntity: Name: NameFull: Marashi A – PersonEntity: Name: NameFull: Beales D – PersonEntity: Name: NameFull: Ceprnja D – PersonEntity: Name: NameFull: Gupta A IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: 2025 Jun Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 2468-7812 Numbering: – Type: volume Value: 77 Titles: – TitleFull: Musculoskeletal science & practice Type: main |
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