Process mining for healthcare decision analytics with micro-costing estimations.
| Publicado en: | Artificial Intelligence in Medicine Vol. 135 |
|---|---|
| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Elsevier B.V.
Jan2023
|
| 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=161209726&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 161209726 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09333657 3HY jtl: Artificial Intelligence in Medicine issn: 09333657 maglogo: N pubinfo: dt: Jan2023 vid: 135 pid: 1004 pub: Elsevier B.V. artinfo: ui: 161209726 10.1016/j.artmed.2022.102473 161209726 ppct: 1 formats: tig: atl: Process mining for healthcare decision analytics with micro-costing estimations. aug: au: Leemans, Sander J.J. Partington, Andrew Karnon, Jonathan Wynn, Moe T. affil: RWTH, Aachen, Germany sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|