Prediction of Hospital Length Stay for Patients Undergoing Mastectomy.
Breast Cancer
Length of stay
Machine Learning
Mastectomy
Journal
Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582
Informations de publication
Date de publication:
29 Jun 2023
29 Jun 2023
Historique:
medline:
3
7
2023
pubmed:
30
6
2023
entrez:
30
6
2023
Statut:
ppublish
Résumé
The prolonged length of stay is an important aspect to be considered for the healthcare management since this affect both the health-related expenditure of the hospital and the quality of the offered service. In the light of these consideration is important for hospitals to be able to predict the LOS of patients and to work on the principal aspect affecting it in order to reduce LOS as much as possible. In this work we focus on patients undergoing mastectomy. The data were collected form 989 patients who underwent mastectomy surgery in the Surgery Department of the AORN "A. Cardarelli" of Naples. Different models have been tested and characterized and the one with the best performance was identified.
Identifiants
pubmed: 37387012
pii: SHTI230478
doi: 10.3233/SHTI230478
doi:
Types de publication
Journal Article
Langues
eng