Machine learning-based prediction model for long-term mortality after ischemic stroke.
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| Title: | Machine learning-based prediction model for long-term mortality after ischemic stroke. |
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| Authors: | Kim HS; Department of Medical Informatics, Keimyung University School of Medicine, Daegu, South Korea., Lee SB; Department of Medical Informatics, Keimyung University School of Medicine, Daegu, South Korea., Kim C; Department of Bioengineering, Seoul National University, Seoul, South Korea., Lee J; Department of Neurology, Bucheon Sejong Hospital, 28, Hohyeon-ro 489beon-gil, Bucheon-si, 14754, Gyeonggi-do, South Korea., Kwon JM; Medical AI Co., Ltd., Seoul, South Korea., Oh MY; Department of Neurology, Bucheon Sejong Hospital, 28, Hohyeon-ro 489beon-gil, Bucheon-si, 14754, Gyeonggi-do, South Korea. mohm99@gmail.com. |
| Source: | Scientific reports [Sci Rep] 2026 Jun 21. Date of Electronic Publication: 2026 Jun 21. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42324308 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Machine learning-based prediction model for long-term mortality after ischemic stroke. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Kim+HS%22">Kim HS</searchLink>; Department of Medical Informatics, Keimyung University School of Medicine, Daegu, South Korea.<br /><searchLink fieldCode="AU" term="%22Lee+SB%22">Lee SB</searchLink>; Department of Medical Informatics, Keimyung University School of Medicine, Daegu, South Korea.<br /><searchLink fieldCode="AU" term="%22Kim+C%22">Kim C</searchLink>; Department of Bioengineering, Seoul National University, Seoul, South Korea.<br /><searchLink fieldCode="AU" term="%22Lee+J%22">Lee J</searchLink>; Department of Neurology, Bucheon Sejong Hospital, 28, Hohyeon-ro 489beon-gil, Bucheon-si, 14754, Gyeonggi-do, South Korea.<br /><searchLink fieldCode="AU" term="%22Kwon+JM%22">Kwon JM</searchLink>; Medical AI Co., Ltd., Seoul, South Korea.<br /><searchLink fieldCode="AU" term="%22Oh+MY%22">Oh MY</searchLink>; Department of Neurology, Bucheon Sejong Hospital, 28, Hohyeon-ro 489beon-gil, Bucheon-si, 14754, Gyeonggi-do, South Korea. mohm99@gmail.com. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2026 Jun 21. <i>Date of Electronic Publication: </i>2026 Jun 21. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101563288 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2045-2322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220452322%22">20452322 </searchLink><i>NLM ISO Abbreviation: </i>Sci Rep <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42324308 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-026-53797-6 Languages: – Code: eng Text: English Titles: – TitleFull: Machine learning-based prediction model for long-term mortality after ischemic stroke. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kim HS – PersonEntity: Name: NameFull: Lee SB – PersonEntity: Name: NameFull: Kim C – PersonEntity: Name: NameFull: Lee J – PersonEntity: Name: NameFull: Kwon JM – PersonEntity: Name: NameFull: Oh MY IsPartOfRelationships: – BibEntity: Dates: – D: 21 M: 06 Text: 2026 Jun 21 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 2045-2322 Titles: – TitleFull: Scientific reports Type: main |
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