Multimodal deep learning model for prediction of prognosis in central nervous system inflammation.
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| Title: | Multimodal deep learning model for prediction of prognosis in central nervous system inflammation. |
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| Authors: | Choi BK; Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.; Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul 06273, Republic of Korea., Choi Y; Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.; Department of Computer Science and Engineering, Yonsei University College of Computing, Seoul 03722, Republic of Korea., Jang S; Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul 03722, Republic of Korea., Ha WS; Department of Neurology, Yonsei University College of Medicine, Seoul 03722, Republic of Korea., Cho S; Department of Neurology, Yonsei University College of Medicine, Seoul 03722, Republic of Korea., Chang K; Department of Neurology, Uijeongbu Eulji Medical Center, Eulji University, Uijeongbu 11759, Republic of Korea., Sohn B; Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea., Kim KM; Department of Neurology, Yonsei University College of Medicine, Seoul 03722, Republic of Korea., Park YR; Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul 03722, Republic of Korea. |
| Source: | Brain communications [Brain Commun] 2025 May 09; Vol. 7 (3), pp. fcaf179. Date of Electronic Publication: 2025 May 09 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 101755125 Publication Model: eCollection Cited Medium: Internet ISSN: 2632-1297 (Electronic) Linking ISSN: 26321297 NLM ISO Abbreviation: Brain Commun Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40385378 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Multimodal deep learning model for prediction of prognosis in central nervous system inflammation. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Choi+BK%22">Choi BK</searchLink>; Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.; Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul 06273, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Choi+Y%22">Choi Y</searchLink>; Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.; Department of Computer Science and Engineering, Yonsei University College of Computing, Seoul 03722, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Jang+S%22">Jang S</searchLink>; Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Ha+WS%22">Ha WS</searchLink>; Department of Neurology, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Cho+S%22">Cho S</searchLink>; Department of Neurology, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Chang+K%22">Chang K</searchLink>; Department of Neurology, Uijeongbu Eulji Medical Center, Eulji University, Uijeongbu 11759, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Sohn+B%22">Sohn B</searchLink>; Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+KM%22">Kim KM</searchLink>; Department of Neurology, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Park+YR%22">Park YR</searchLink>; Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul 03722, Republic of Korea. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101755125%22">Brain communications</searchLink> [Brain Commun] 2025 May 09; Vol. 7 (3), pp. fcaf179. <i>Date of Electronic Publication: </i>2025 May 09 (<i>Print Publication: </i>2025). – 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="%22Oxford+University+Press%22">Oxford University Press </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101755125 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2632-1297 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2226321297%22">26321297 </searchLink><i>NLM ISO Abbreviation: </i>Brain Commun <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40385378 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/braincomms/fcaf179 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: fcaf179 Titles: – TitleFull: Multimodal deep learning model for prediction of prognosis in central nervous system inflammation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Choi BK – PersonEntity: Name: NameFull: Choi Y – PersonEntity: Name: NameFull: Jang S – PersonEntity: Name: NameFull: Ha WS – PersonEntity: Name: NameFull: Cho S – PersonEntity: Name: NameFull: Chang K – PersonEntity: Name: NameFull: Sohn B – PersonEntity: Name: NameFull: Kim KM – PersonEntity: Name: NameFull: Park YR IsPartOfRelationships: – BibEntity: Dates: – D: 09 M: 05 Text: 2025 May 09 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 2632-1297 Numbering: – Type: volume Value: 7 – Type: issue Value: 3 Titles: – TitleFull: Brain communications Type: main |
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