Comprehensive analysis and experimental validation of BST1 as a novel diagnostic biomarker for pediatric sepsis using multiple machine learning algorithms.
| Published in: | European Journal of Pediatrics Vol. 184; no. 7; pp. 1 - 10 |
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| Main Authors: | , |
| Format: | Journal Article |
| Published: |
Springer Nature
Jul2025
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=186144032&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 186144032 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 03406199 CR1 jtl: European Journal of Pediatrics issn: 03406199 maglogo: N pubinfo: dt: Jul2025 vid: 184 iid: 7 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 186144032 10.1007/s00431-025-06267-6 186144032 ppf: 1 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Comprehensive analysis and experimental validation of BST1 as a novel diagnostic biomarker for pediatric sepsis using multiple machine learning algorithms. aug: au: Yang, Yang Zhang, Genhao affil: https://ror.org/03f72zw41 Department of Nuclear Medicine, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Hospital of Henan University, 450003, People’sZhengzhou, Henan, China sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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