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An explainable machine learning model predicts pediatric varicella encephalitis.

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Title: An explainable machine learning model predicts pediatric varicella encephalitis.
Authors: Liu X; Pediatric Department of Beijing You 'an Hospital affiliated to Capital Medical University, Beijing, China., Mou D; Department of Infectious Diseases, Beijing You 'an Hospital, Capital Medical University, Beijing, China., Yin C; Department of Infectious Diseases, Beijing Tongren Hospital Mentougou Campus, Capital Medical University, Beijing, China., Liu B; Emergency Department of Beijing You 'an Hospital affiliated to Capital Medical University, Beijing, China., Dong K; Pediatric Department of Beijing Di 'tan Hospital affiliated to Capital Medical University, Beijing, China., Guo C; Pediatric Department of Beijing You 'an Hospital affiliated to Capital Medical University, Beijing, China., Zhao Y; Pediatric Department of Beijing You 'an Hospital affiliated to Capital Medical University, Beijing, China.
Source: Frontiers in cellular and infection microbiology [Front Cell Infect Microbiol] 2026 Apr 15; Vol. 16, pp. 1759109. Date of Electronic Publication: 2026 Apr 15 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media SA Country of Publication: Switzerland NLM ID: 101585359 Publication Model: eCollection Cited Medium: Internet ISSN: 2235-2988 (Electronic) Linking ISSN: 22352988 NLM ISO Abbreviation: Front Cell Infect Microbiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: An explainable machine learning model predicts pediatric varicella encephalitis.
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  Data: <searchLink fieldCode="AU" term="%22Liu+X%22">Liu X</searchLink>; Pediatric Department of Beijing You 'an Hospital affiliated to Capital Medical University, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Mou+D%22">Mou D</searchLink>; Department of Infectious Diseases, Beijing You 'an Hospital, Capital Medical University, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Yin+C%22">Yin C</searchLink>; Department of Infectious Diseases, Beijing Tongren Hospital Mentougou Campus, Capital Medical University, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Liu+B%22">Liu B</searchLink>; Emergency Department of Beijing You 'an Hospital affiliated to Capital Medical University, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Dong+K%22">Dong K</searchLink>; Pediatric Department of Beijing Di 'tan Hospital affiliated to Capital Medical University, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Guo+C%22">Guo C</searchLink>; Pediatric Department of Beijing You 'an Hospital affiliated to Capital Medical University, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Zhao+Y%22">Zhao Y</searchLink>; Pediatric Department of Beijing You 'an Hospital affiliated to Capital Medical University, Beijing, China.
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  Data: <searchLink fieldCode="JN" term="%22101585359%22">Frontiers in cellular and infection microbiology</searchLink> [Front Cell Infect Microbiol] 2026 Apr 15; Vol. 16, pp. 1759109. <i>Date of Electronic Publication: </i>2026 Apr 15 (<i>Print Publication: </i>2026).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers+Media+SA%22">Frontiers Media SA </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101585359 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2235-2988 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2222352988%22">22352988 </searchLink><i>NLM ISO Abbreviation: </i>Front Cell Infect Microbiol <i>Subsets: </i>MEDLINE
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        Value: 10.3389/fcimb.2026.1759109
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              Text: 2026 Apr 15
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