Factors associated with the prognosis of diabetic foot ulcers treated with silver ion hydrogel dressings combined with negative pressure wound therapy and the construction of a risk prediction model: a study of two machine learning methods, LASSO and random forest algorithms.
| Publicado en: | International Journal of Diabetes in Developing Countries p. 1 |
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| Autores principales: | , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Mar2026
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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=192250545&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 192250545 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09733930 259E jtl: International Journal of Diabetes in Developing Countries issn: 09733930 maglogo: N pubinfo: dt: Mar2026 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 192250545 10.1007/s13410-026-01636-9 192250545 ppf: 1 formats: tig: atl: Factors associated with the prognosis of diabetic foot ulcers treated with silver ion hydrogel dressings combined with negative pressure wound therapy and the construction of a risk prediction model: a study of two machine learning methods, LASSO and random forest algorithms. aug: au: Ding, Sheng Gong, Yin Song, Mingming Guo, Zaiwen Sun, Ran Liu, Yunfeng Ge, Zili affil: Department of Stomatology, The First Affiliated Hospital of Soochow University sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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