Cesare, M.; Nurchis, M.C.; Nursing and Public Health Group; Damiani, G.; Cocchieri, A.
Ranking Nursing Diagnoses by Predictive Relevance for Intensive Care Unit Transfer Risk in Adult and Pediatric Patients: A Machine Learning Approach with Random Forest. Healthcare 2025, 13, 1339.
https://doi.org/10.3390/healthcare13111339
AMA Style
Cesare M, Nurchis MC, Nursing and Public Health Group, Damiani G, Cocchieri A.
Ranking Nursing Diagnoses by Predictive Relevance for Intensive Care Unit Transfer Risk in Adult and Pediatric Patients: A Machine Learning Approach with Random Forest. Healthcare. 2025; 13(11):1339.
https://doi.org/10.3390/healthcare13111339
Chicago/Turabian Style
Cesare, Manuele, Mario Cesare Nurchis, Nursing and Public Health Group, Gianfranco Damiani, and Antonello Cocchieri.
2025. "Ranking Nursing Diagnoses by Predictive Relevance for Intensive Care Unit Transfer Risk in Adult and Pediatric Patients: A Machine Learning Approach with Random Forest" Healthcare 13, no. 11: 1339.
https://doi.org/10.3390/healthcare13111339
APA Style
Cesare, M., Nurchis, M. C., Nursing and Public Health Group, Damiani, G., & Cocchieri, A.
(2025). Ranking Nursing Diagnoses by Predictive Relevance for Intensive Care Unit Transfer Risk in Adult and Pediatric Patients: A Machine Learning Approach with Random Forest. Healthcare, 13(11), 1339.
https://doi.org/10.3390/healthcare13111339
