Diagnostic and predictive value of radiomics-based machine learning for intracranial aneurysm rupture status: a systematic review and meta-analysis.
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| Title: | Diagnostic and predictive value of radiomics-based machine learning for intracranial aneurysm rupture status: a systematic review and meta-analysis. |
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| Authors: | Zhong J; The First Clinical Medical College of Gannan Medical University, Ganzhou, 341000, Jiangxi, China., Jiang Y; Shenzhen University, Shenzhen, 518000, Guandong, China., Huang Q; JiangXi University of Science and Technology, Ganzhou, 341000, Jiangxi, China., Yang S; Neurosurgery Department of the First Affiliated Hospital of Gannan Medical University, Ganzhou, 341000, Jiangxi, China. yangshch680709@hotmail.com. |
| Source: | Neurosurgical review [Neurosurg Rev] 2024 Nov 12; Vol. 47 (1), pp. 845. Date of Electronic Publication: 2024 Nov 12. |
| Publication Type: | Journal Article; Systematic Review; Meta-Analysis |
| Journal Info: | Publisher: Springer Berlin Heidelberg Country of Publication: Germany NLM ID: 7908181 Publication Model: Electronic Cited Medium: Internet ISSN: 1437-2320 (Electronic) Linking ISSN: 03445607 NLM ISO Abbreviation: Neurosurg Rev Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 39528874 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Diagnostic and predictive value of radiomics-based machine learning for intracranial aneurysm rupture status: a systematic review and meta-analysis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Zhong+J%22">Zhong J</searchLink>; The First Clinical Medical College of Gannan Medical University, Ganzhou, 341000, Jiangxi, China.<br /><searchLink fieldCode="AU" term="%22Jiang+Y%22">Jiang Y</searchLink>; Shenzhen University, Shenzhen, 518000, Guandong, China.<br /><searchLink fieldCode="AU" term="%22Huang+Q%22">Huang Q</searchLink>; JiangXi University of Science and Technology, Ganzhou, 341000, Jiangxi, China.<br /><searchLink fieldCode="AU" term="%22Yang+S%22">Yang S</searchLink>; Neurosurgery Department of the First Affiliated Hospital of Gannan Medical University, Ganzhou, 341000, Jiangxi, China. yangshch680709@hotmail.com. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%227908181%22">Neurosurgical review</searchLink> [Neurosurg Rev] 2024 Nov 12; Vol. 47 (1), pp. 845. <i>Date of Electronic Publication: </i>2024 Nov 12. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Systematic Review; Meta-Analysis – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+Berlin+Heidelberg%22">Springer Berlin Heidelberg </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>7908181 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1437-2320 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2203445607%22">03445607 </searchLink><i>NLM ISO Abbreviation: </i>Neurosurg Rev <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39528874 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10143-024-03086-5 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 845 Titles: – TitleFull: Diagnostic and predictive value of radiomics-based machine learning for intracranial aneurysm rupture status: a systematic review and meta-analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhong J – PersonEntity: Name: NameFull: Jiang Y – PersonEntity: Name: NameFull: Huang Q – PersonEntity: Name: NameFull: Yang S IsPartOfRelationships: – BibEntity: Dates: – D: 12 M: 11 Text: 2024 Nov 12 Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 1437-2320 Numbering: – Type: volume Value: 47 – Type: issue Value: 1 Titles: – TitleFull: Neurosurgical review Type: main |
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