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Explainable Machine Learning Analysis of Perioperative Factors Associated with Clinically Significant Emergence Agitation After Pediatric Ophthalmic Surgery.

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Title: Explainable Machine Learning Analysis of Perioperative Factors Associated with Clinically Significant Emergence Agitation After Pediatric Ophthalmic Surgery.
Authors: Lim JA; Department of Anesthesiology and Pain Medicine, School of Medicine, Kyungpook National University, Daegu 41944, Republic of Korea., Kim J; Department of Anesthesiology and Pain Medicine, School of Medicine, Daegu Catholic University, Daegu 42472, Republic of Korea., Kong M; Department of Anesthesiology and Pain Medicine, School of Medicine, Daegu Catholic University, Daegu 42472, Republic of Korea., Kwak SG; Department of Medical Statistics, School of Medicine, Daegu Catholic University, Daegu 42472, Republic of Korea.
Source: Medicina (Kaunas, Lithuania) [Medicina (Kaunas)] 2026 Jun 19; Vol. 62 (6). Date of Electronic Publication: 2026 Jun 19.
Publication Type: Journal Article
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 9425208 Publication Model: Electronic Cited Medium: Internet ISSN: 1648-9144 (Electronic) Linking ISSN: 1010660X NLM ISO Abbreviation: Medicina (Kaunas) Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Explainable Machine Learning Analysis of Perioperative Factors Associated with Clinically Significant Emergence Agitation After Pediatric Ophthalmic Surgery.
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  Data: <searchLink fieldCode="AU" term="%22Lim+JA%22">Lim JA</searchLink>; Department of Anesthesiology and Pain Medicine, School of Medicine, Kyungpook National University, Daegu 41944, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+J%22">Kim J</searchLink>; Department of Anesthesiology and Pain Medicine, School of Medicine, Daegu Catholic University, Daegu 42472, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kong+M%22">Kong M</searchLink>; Department of Anesthesiology and Pain Medicine, School of Medicine, Daegu Catholic University, Daegu 42472, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kwak+SG%22">Kwak SG</searchLink>; Department of Medical Statistics, School of Medicine, Daegu Catholic University, Daegu 42472, Republic of Korea.
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  Data: <searchLink fieldCode="JN" term="%229425208%22">Medicina (Kaunas, Lithuania)</searchLink> [Medicina (Kaunas)] 2026 Jun 19; Vol. 62 (6). <i>Date of Electronic Publication: </i>2026 Jun 19.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22MDPI%22">MDPI </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>9425208 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1648-9144 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%221010660X%22">1010660X </searchLink><i>NLM ISO Abbreviation: </i>Medicina (Kaunas) <i>Subsets: </i>MEDLINE
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        Value: 10.3390/medicina62061189
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        Text: English
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      – TitleFull: Explainable Machine Learning Analysis of Perioperative Factors Associated with Clinically Significant Emergence Agitation After Pediatric Ophthalmic Surgery.
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            NameFull: Lim JA
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            NameFull: Kim J
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            NameFull: Kong M
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            NameFull: Kwak SG
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            – D: 19
              M: 06
              Text: 2026 Jun 19
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              Y: 2026
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