Noninvasive estimation of PaCO2 from volumetric capnography in animals with injured lungs: an Artificial Intelligence approach.
| Publicado en: | Journal of Clinical Monitoring & Computing Vol. 39; no. 2; pp. 415 - 426 |
|---|---|
| Autores principales: | , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Apr2025
|
| 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=184915868&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 184915868 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13871307 OHC jtl: Journal of Clinical Monitoring & Computing issn: 13871307 maglogo: N pubinfo: dt: Apr2025 vid: 39 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 184915868 181876343 10.1007/s10877-024-01253-z 184915868 ppf: 415 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Noninvasive estimation of PaCO2 from volumetric capnography in animals with injured lungs: an Artificial Intelligence approach. aug: au: Tusman, Gerardo Scandurra, Adriana G. Böhm, Stephan H. Echeverría, Noelia I. Meschino, Gustavo Kremeier, P. Sipmann, Fernando Suarez affil: https://ror.org/01jxef645 Department of Anesthesiology, Hospital Privado de Comunidad, 7600, Mar del Plata, Buenos Aires, Argentina sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|