Multiple regression model to analyze the total LOS for patients undergoing laparoscopic appendectomy

TA Trunfio, A Scala, C Giglio, G Rossi, A Borrelli… - BMC Medical Informatics …, 2022 - Springer
Background The rapid growth in the complexity of services and stringent quality
requirements present a challenge to all healthcare facilities, especially from an economic …

Regression models to study the total LOS related to valvuloplasty

A Scala, TA Trunfio, L De Coppi, G Rossi… - International journal of …, 2022 - mdpi.com
Background: Valvular heart diseases are diseases that affect the valves by altering the
normal circulation of blood within the heart. In recent years, the use of valvuloplasty has …

Predictive analysis of lower limb fractures in the orthopedic complex operative unit using artificial intelligence: the case study of AOU Ruggi

A Scala, A Borrelli, G Improta - Scientific Reports, 2022 - nature.com
The length of stay (LOS) in hospital is one of the main parameters for evaluating the
management of a health facility, of its departments in relation to the different specializations …

Predictive analysis of healthcare-associated blood stream infections in the neonatal intensive care unit using artificial intelligence: a single center study

E Montella, A Ferraro, G Sperlì, M Triassi… - International Journal of …, 2022 - mdpi.com
Background: Neonatal infections represent one of the six main types of healthcare-
associated infections and have resulted in increasing mortality rates in recent years due to …

Implementation of Predictive Algorithms for the Study of the Endarterectomy LOS

TA Trunfio, A Borrelli, G Improta - Bioengineering, 2022 - mdpi.com
Background: In recent years, the length of hospital stay (LOS) following endarterectomy has
decreased significantly from 4 days to 1 day. LOS is influenced by several common …

Classification and regression model to manage the hospitalization for laparoscopic cholecystectomy

A Scala, TA Trunfio, G Improta - Scientific Reports, 2023 - nature.com
Gallstone disease (GD) is one of the most common morbidities in the world. Laparoscopic
Cholecystectomy (LC) is currently the gold standard, performed in about 96% of cases. The …

The Implementation of Machine Learning Methods in Six Sigma Projects–A Literature Review

P Kolbusz, K Antosz - International Scientific-Technical Conference …, 2024 - Springer
One of the methods used today to improve processes in companies is Six Sigma. Within the
application of this philosophy, machine learning methods are increasingly employed to …

Regression and classification methods for predicting the length of hospital stay after cesarean section: A bicentric study

E Montella, MR Marino, M Majolo, E Raiola… - Proceedings of the 6th …, 2022 - dl.acm.org
In recent years, the use of caesarean sections (CS) has grown, leading more women,
especially in developed countries, to choose it as a preferential modality, even without clear …

Mode of discharge in CoViD-19 era: the case of the COU Oncology of “San Giovanni di Dio e Ruggi d'Aragona” University Hospital

R Alfano, I Loperto, A Scala, TA Trunfio… - Proceedings of the 6th …, 2022 - dl.acm.org
Background. The Covid-19 pandemic has deeply impacted the oncology community. The
European Society for Medical Oncology (ESMO) suggests strengthening telemedicine …

Data Analysis to Study the Prolonged ED-LOS: The Case of Evangelical Hospital “Betania”

G Improta, V Bottino, A Sciambra, MA Russo… - … on Biomedical and …, 2022 - Springer
Ensuring satisfactory service for a patient in the emergency department (ED) setting is
challenging. Long wait times have been shown to be associated with dissatisfaction with ED …