Temporal robustness of biomarker-based classification algorithms for sepsis.
| Publicado en: | Intensive Care Medicine Vol. 52; no. 1; pp. 22 - 31 |
|---|---|
| Autores principales: | , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jan2026
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=191206360&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 191206360 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 03424642 4BC jtl: Intensive Care Medicine issn: 03424642 maglogo: N pubinfo: dt: Jan2026 vid: 52 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 191206360 189700158 10.1007/s00134-025-08218-z 191206360 ppf: 22 ppct: 9 formats: tig: atl: Temporal robustness of biomarker-based classification algorithms for sepsis. aug: au: Rademaker, Emma van Amstel, Rombout B. E. el Bouhaddani, Said Bonten, Marc J. M. Derde, Lennie P. G. van Vught, Lonneke van der Poll, Tom Bos, Lieuwe D. J. de Grooth, Harm-Jan Cremer, Olaf L. affil: https://ror.org/0575yy874 Julius Centre for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|