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Early detection of vascular catheter-associated infections employing supervised machine learning - a case study in Lleida region.

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Bibliographic Details
Title: Early detection of vascular catheter-associated infections employing supervised machine learning - a case study in Lleida region.
Authors: Spaimoc R; Department of Computer Science, University of Lleida, C/ Jaume II, 69, Lleida, 25001, Spain. radu.spaimoc@udl.cat., Mateo J; Department of Computer Science, University of Lleida, C/ Jaume II, 69, Lleida, 25001, Spain. jordi.mateo@udl.cat., Solsona F; Department of Computer Science, University of Lleida, C/ Jaume II, 69, Lleida, 25001, Spain. francesc.solsona@udl.cat., Jover-Sáenz A; Nosocomial Infection Unit, Arnau de Vilanova Universitary Hospital of Lleida, Av. Alcalde Rovira Roure, Lleida, 25198, Spain. ajover.lleida.ics@gencat.cat., Barcenilla F; Nosocomial Infection Unit, Arnau de Vilanova Universitary Hospital of Lleida, Av. Alcalde Rovira Roure, Lleida, 25198, Spain. fbarcenilla.lleida.ics@gencat.cat., Ramírez-Hidalgo M; Nosocomial Infection Unit, Arnau de Vilanova Universitary Hospital of Lleida, Av. Alcalde Rovira Roure, Lleida, 25198, Spain. mframirez.lleida.ics@gencat.cat., Serrano M; Sociosanitary Unit, Santa Maria University Hospital of Lleida, Av. Alcalde Rovira Roure, 44, Lleida, 25198, Spain. mserrano@gss.cat., Mesas M; Computer Department, Santa Maria University Hospital of Lleida, Av. Alcalde Rovira Roure, 44, Lleida, 25198, Spain. mmesas@gss.cat., Florensa D; Computer Department, Santa Maria University Hospital of Lleida, Av. Alcalde Rovira Roure, 44, Lleida, 25198, Spain. didac.florensa@gencat.cat.
Source: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2025 Aug 11; Vol. 25 (1), pp. 299. Date of Electronic Publication: 2025 Aug 11.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947 (Electronic) Linking ISSN: 14726947 NLM ISO Abbreviation: BMC Med Inform Decis Mak Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1472-6947
DOI:10.1186/s12911-025-03113-5