Process mining in mHealth data analysis.
| Publicado en: | NPJ Digital Medicine Vol. 7; no. 1; pp. 1 - 11 |
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| Autores principales: | , , , |
| Formato: | statistics tables/charts Journal Article |
| Publicado: |
Springer Nature
10/23/2024
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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=180456537&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 180456537 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23986352 LQV4 jtl: NPJ Digital Medicine issn: 23986352 maglogo: N pubinfo: dt: 10/23/2024 vid: 7 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 180456537 180456537 180456537 10.1038/s41746-024-01297-0 180456537 ppf: 1 ppct: 10 formats: tig: atl: Process mining in mHealth data analysis. aug: au: Winter, Michael Langguth, Berthold Schlee, Winfried Pryss, Rüdiger affil: https://ror.org/00fbnyb24 Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany sug: subj: Data Mining Telehealth Data Analysis, Computer Assisted Machine Learning Patient-Reported Outcomes Tinnitus Mobile Applications Sex Factors Smartphone Individualized Medicine pubtype: Academic Journal doctype: statistics tables/charts Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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