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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| ISSN: | 2632-1297 |
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| DOI: | 10.1093/braincomms/fcaf179 |
