Evaluation of the Effectiveness of Deep Learning Model in Detection and Classification of Pressure Injury.
| Publicado en: | Journal of Intensive Care Nursing Vol. 29; no. 3; pp. 207 - 220 |
|---|---|
| Autores principales: | , , , , |
| Formato: | research tables/charts randomized controlled trial Journal Article |
| Publicado: |
Journal of Intensive Care Nursing
ara2025
|
| 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=191416647&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 191416647 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 26677903 NOOM jtl: Journal of Intensive Care Nursing issn: 26677903 maglogo: N pubinfo: dt: ara2025 vid: 29 iid: 3 pid: 87817 pub: Journal of Intensive Care Nursing artinfo: ui: 191416647 191416647 191416647 10.62111/ybhd.1749992 191416647 ppf: 207 ppct: 13 formats: fmt: @attributes: type: P tig: atl: Evaluation of the Effectiveness of Deep Learning Model in Detection and Classification of Pressure Injury. aug: au: KIZIL, Hamiyet YILMAZ, Atınç DEMİRAL, Melek KAYA, Umut ÇAKIR, Rıdvan affil: University of Health Sciences, Hamidiye Faculty of Nursing, Istanbul, Türkiye. sug: subj: Pressure Ulcer Diagnosis Pressure Ulcer Classification Deep Learning Prediction Models Evaluation Nursing Knowledge Evaluation Nurses Psychosocial Factors Human Funding Source Randomized Controlled Trials Random Assignment Clinical Assessment Tools Descriptive Statistics Chi Square Test Fisher's Exact Test T-Tests Male Female Adult Sensitivity and Specificity Adult: 19-44 years Male Female pubtype: Academic Journal doctype: research tables/charts randomized controlled trial Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|