Código QR (código de barras bidimensional)

Risk stratification and data-driven phenotyping of peripherally inserted central catheter-related bloodstream infection: an explainable machine learning analysis of a large critical care cohort

Abstract Background Peripherally inserted central catheter-related bloodstream infections (PICC-CRBSIs) are significant causes of morbidity and mortality in critically ill patients. Therefore, improved risk stratification is required for targeted prevention. This study aimed to identify key predicto...

Fuld beskrivelse

Na minha lista:
Principais autores: Yujia Liu, Chao Cong, Dongsheng Cheng
Format: Artigo
Sprog:Inglês
Udgivet: BMC 2026-03-01
Serier:BMC Medical Informatics and Decision Making
Fag:
Machine learning
Peripherally Inserted Central Catheter (PICC)
Catheter-related bloodstream infection (CRBSI)
Explainable artificial intelligence (XAI)
Critical care
Online adgang:https://doi.org/10.1186/s12911-026-03419-y
Tags: Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!

Lignende værker