Deep reinforcement learning for multi-targets propofol dosing.
| Publicado en: | Journal of Clinical Monitoring & Computing Vol. 39; no. 3; pp. 613 - 624 |
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| Autores principales: | , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jun2025
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| 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=185621034&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 185621034 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13871307 OHC jtl: Journal of Clinical Monitoring & Computing issn: 13871307 maglogo: N pubinfo: dt: Jun2025 vid: 39 iid: 3 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 185621034 183452569 10.1007/s10877-025-01269-z 185621034 ppf: 613 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Deep reinforcement learning for multi-targets propofol dosing. aug: au: Tu, Zheyan Jeffries, Sean Pelletier, Eric Cafferty, Oliver Morse, Joshua Sinha, Avinash Hemmerling, Thomas affil: https://ror.org/01pxwe438 Department of Surgical and Interventional Sciences, McGill University Health Center, Montreal, Quebec, Canada sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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