@article{9af84931122c414db3925386b0d5ff91,
title = "Ranking Nursing Diagnoses by Predictive Relevance for Intensive Care Unit Transfer Risk in Adult and Pediatric Patients: A Machine Learning Approach with Random Forest",
abstract = "Inglese",
keywords = "adult, clinical deterioration, intensive care units, machine learning, nursing diagnosis, patient transfer, pediatrics, random forest, adult, clinical deterioration, intensive care units, machine learning, nursing diagnosis, patient transfer, pediatrics, random forest",
author = "Manuele Cesare and Nurchis, \{Mario Cesare\} and Group, \{Nursing and Public Health\} and Gianfranco Damiani and Antonello Cocchieri",
year = "2025",
doi = "10.3390/healthcare13111339",
language = "English",
volume = "13",
pages = "N/A--N/A",
journal = "HEALTHCARE",
issn = "2227-9032",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "11",
}