*Result*: Early prediction of pressure injury risk in hospitalized patients using supervised machine learning models based on nursing records.

Early prediction of pressure injury risk in hospitalized patients using supervised machine learning models based on nursing records.

Barriga-Gallegos F; Institute for Health Care Research, Faculty of Nursing, Universidad Andrés Bello, 8370146, Santiago, Chile., Ríos-Vásquez G; School of Industrial Engineering, Pontificia Universidad Católica de Valparaíso, 2362807, Valparaíso, Chile., Tapia GM; Institute for Health Care Research, Faculty of Nursing, Universidad Andrés Bello, 8370146, Santiago, Chile., Garrido CA; Subdirection of Care Management, Félix Bulnes Clinical Hospital, 9110056, Santiago, Chile., Vergara NF; Institute for Health Care Research, Faculty of Nursing, Universidad Andrés Bello, 8370146, Santiago, Chile. naldy.febre@unab.cl.

Scientific reports [Sci Rep] 2026 Jan 28; Vol. 16 (1), pp. 6502. Date of Electronic Publication: 2026 Jan 28.

Journal Article

English

Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

Original Publication: London : Nature Publishing Group, copyright 2011-

Pressure Ulcer*/epidemiology , Pressure Ulcer*/diagnosis , Pressure Ulcer*/prevention & control , Supervised Machine Learning*, Chile/epidemiology ; Humans ; Male ; Female ; Middle Aged ; Aged ; Risk Factors ; Hospitalization ; Adult ; Risk Assessment ; Aged, 80 and over ; Machine Learning ; Decision Trees ; Support Vector Machine

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21240875 National Agency for Research and Development (ANID)

Keywords: Emergency units; Health analytics; Machine learning; Pressure ulcer; Risk prediction model

Date Created: 20260128 Date Completed: 20260216 Latest Revision: 20260219

20260219

PMC12910084

10.1038/s41598-026-35709-w

41606067

MEDLINE