Predicting clinical pathways of traumatic brain injuries (TBIs) through process mining.
| Publicado en: | NPJ Digital Medicine Vol. 8; no. 1; pp. 1 - 13 |
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| Autores principales: | , , |
| Formato: | algorithm equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
2/18/2025
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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=183109310&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 183109310 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23986352 LQV4 jtl: NPJ Digital Medicine issn: 23986352 maglogo: N pubinfo: dt: 2/18/2025 vid: 8 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 183109310 183109310 183109310 10.1038/s41746-025-01484-7 183109310 ppf: 1 ppct: 12 formats: tig: atl: Predicting clinical pathways of traumatic brain injuries (TBIs) through process mining. aug: au: Eili, Mansoureh Yari Rezaeenour, Jalal Roozbahani, Mohammad Hossein affil: https://ror.org/03ddeer04 Department of Computer Engineering and IT, Faculty of Technology and Engineering, University of Qom, Qom, Iran sug: subj: Brain Injuries Risk Factors Mining Critical Path Decision Support Systems, Clinical Physicians Prediction Models Risk Assessment Human Male Female Adult Middle Age Machine Learning Comparative Studies ROC Curve Iran Descriptive Statistics Adult: 19-44 years Middle Aged: 45-64 years Male Female pubtype: Academic Journal doctype: algorithm equations & formulas research tables/charts Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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