Process mining and data mining applications in the domain of chronic diseases: A systematic review.
| Publicado en: | Artificial Intelligence in Medicine Vol. 144 |
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| Autores principales: | , , , , |
| Formato: | Journal Article |
| Publicado: |
Elsevier B.V.
Oct2023
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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=172774563&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 172774563 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09333657 3HY jtl: Artificial Intelligence in Medicine issn: 09333657 maglogo: N pubinfo: dt: Oct2023 vid: 144 pid: 1004 pub: Elsevier B.V. artinfo: ui: 172774563 10.1016/j.artmed.2023.102645 172774563 ppct: 1 formats: tig: atl: Process mining and data mining applications in the domain of chronic diseases: A systematic review. aug: au: Chen, Kaile Abtahi, Farhad Carrero, Juan-Jesus Fernandez-Llatas, Carlos Seoane, Fernando affil: Department of Clinical Science, Intervention and Technology, Karolinska Institutet, 17177 Stockholm, Sweden sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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