Analysis of voluntary departures from the Emergency Department of the hospital AORN "A. Cardarelli". - Alfonso Maria Ponsiglione; Massimo Majolo; Giuseppe Longo; Giuseppe Russo; Maria Triassi; Eliana Raiola; Giovanni Improta (BECB, 2021)

Studying length of stay in the Emergency Department of A.O.R.N. "Antonio Cardarelli" of Naples. - Massimo Majolo; Alfonso Maria Ponsiglione; Giuseppe Longo; Giuseppe Russo; Maria Triassi; Eliana Raiola; Giovanni Improta (ICBBS, 2021)

A Bicentric Study to Investigate the Impact of COVID-19 on Urological Patients. - Emma Montella; Marta Rosaria Marino; Salvatore Bellopede; Sabrina Iodice; Massimo Majolo; Giuseppe Longo; Michele Sparano; Anna Borrelli; Maria Triassi (BECB, 2022)

The Effect of CoViD-19 Pandemic on the Hospitalization of a Department of Oncology of an Italian Hospital. - Emma Montella; Marta Rosaria Marino; Miriam Rita Castorina; Sara Ranucci; Massimo Majolo; Giuseppe Longo; Maria Triassi (BECB, 2022)

The Effect of CoViD-19 Pandemic on the Hospitalization of Two Department of Emergency Surgery in Two Italian Hospitals. - Emma Montella; Marta Rosaria Marino; Miriam Rita Castorina; Sara Ranucci; Massimo Majolo; Eliana Raiola; Giuseppe Russo; Giuseppe Longo; Morena Anna Basso; Giuseppe Ferrucci; Anna Borrelli; Maria Triassi (BECB, 2022)

Multiple Regression Model to Analyze the Length of Stay for Patients Undergoing Laparoscopic Appendectomy: A Bicentric Study. - Emma Montella; Marta Rosaria Marino; Alessandro Frangiosa; Giuseppe Mazia; Massimo Majolo; Eliana Raiola; Giuseppe Russo; Giuseppe Longo; Giovanni Rossi; Anna Borrelli; Maria Triassi (BECB, 2022)

Use of Classification Algorithms to Investigate Inpatient Stay for Retinal Diseases. - Emma Montella; Marta Rosaria Marino; Cristiana Giglio; Massimo Majolo; Giuseppe Longo; Maria Triassi; Arianna Scala (BECB, 2022)

Analysis of the Reorganisation of Skin Transplantation Surgeries During the COVID-19 Pandemic. - Emma Montella; Marta Rosaria Marino; Cristiana Giglio; Eliana Raiola; Massimo Majolo; Giuseppe Russo; Maria Triassi; Teresa Angela Trunfio (BECB, 2022)

Modeling LOS After Percutaneous Valvuloplasty: A Bicentric Study. - Emma Montella; Marta Rosaria Marino; Massimo Majolo; Eliana Raiola; Giuseppe Russo; Giuseppe Longo; Giovanni Rossi; Anna Borrelli; Maria Triassi (BECB, 2022)

Covid-19: The Effect on Hospitalization Patient of Ophthalmology Department in "Antonio Cardarelli" Hospital. - Emma Montella; Marta Rosaria Marino; Eliana Raiola; Massimo Majolo; Giuseppe Russo; Giovanni Rossi; Anna Borrelli; Maria Triassi; Arianna Scala (BECB, 2022)

Statistical Analysis and Logistic Regression to Assess How COVID-19 Has Changed Department of General Medicine Patients' Management: A Bicentric Study. - Ida Santalucia; Marta Rosaria Marino; Massimo Majolo; Giuseppe Longo; Andrea Lombardi; Anna Borrelli; Maria Triassi (BECB, 2022)

Machine Learning Algorithms to Study Features Affecting the Length of Stay in Patients with Lower Limb Fractures: A Bicentric Study. - Ida Santalucia; Marta Rosaria Marino; Massimo Majolo; Eliana Raiola; Giuseppe Russo; Giuseppe Longo; Morena Anna Basso; Giovanni Balato; Andrea Lombardi; Anna Borrelli; Maria Triassi (BECB, 2022)

Effects of Covid-19 Protocols on Treatment of Patients with Head-Neck Diseases. - Ida Santalucia; Marta Rosaria Marino; Eliana Raiola; Massimo Majolo; Giuseppe Russo; Giuseppe Longo; Enrico Festa; Giuseppe Ferrucci; Anna Borrelli; Maria Triassi (BECB, 2022)

Machine Learning Algorithms to Predict LOS in Patients Undergoing Heart Bypass Surgery: A Bicentric Study. - Arianna Scala; Marta Rosaria Marino; Cristiana Giglio; Massimo Majolo; Giuseppe Longo; Giuseppe Ferrucci; Anna Borrelli; Maria Triassi (BECB, 2022)

How has COVID-19 Changed the Activities of Plastic Surgery? A Bicentric Study. - Arianna Scala; Marta Rosaria Marino; Cristiana Giglio; Massimo Majolo; Giuseppe Longo; Giuseppe Ferrucci; Anna Borrelli; Maria Triassi (BECB, 2022)

Regression and Machine Learning Algorithm to Study the LOS of Patients Undergoing Hip Surgery. - Arianna Scala; Marta Rosaria Marino; Massimo Majolo; Giuseppe Russo; Francesco Smeraglia; Morena Anna Basso; Francesco Bruno; Anna Borrelli; Alfonso Maria Ponsiglione (BECB, 2022)

Impact of COVID-19 in a Surgery Department: Comparison Between Two Italian Hospitals. - Teresa Angela Trunfio; Marta Rosaria Marino; Cristiana Giglio; Massimo Majolo; Giuseppe Longo; Morena Anna Basso; Giovanni Rossi; Anna Borrelli; Maria Triassi (BECB, 2022)

Study of Variables Influencing LOS with Machine Learning in Patients with Kidney Disease. - Teresa Angela Trunfio; Marta Rosaria Marino; Cristiana Giglio; Massimo Majolo; Eliana Raiola; Enrico Festa; Giuseppe Longo; Maria Triassi; Arianna Scala (BECB, 2022)

Multiple Linear Regression to Analyze the Effect of Emergency Diagnostic Procedures on the Hospitalization. - Antonio Saverio Valente; Marta Rosaria Marino; Massimo Majolo; Giuseppe Longo; Giovanni Balato; Enrico Festa; Anna Borrelli; Maria Triassi; Francesco Amato 001; Maria Romano (BECB, 2022)

A machine learning approach to predict the hospital length of stay after kidney surgery. - Marta Rosaria Marino; Massimo Majolo; Marco Grasso; Giuseppe Russo; Giuseppe Longo; Maria Triassi; Teresa Angela Trunfio (ICBBS, 2022)

Regression and classification methods for predicting the length of hospital stay after cesarean section: a bicentric study. - Emma Montella; Marta Rosaria Marino; Massimo Majolo; Eliana Raiola; Giuseppe Russo; Giuseppe Longo; Andrea Lombardi; Anna Borrelli; Maria Triassi (ICMHI, 2022)

Lean Six Sigma approach to the study of the LOS of patients who undergo laparoscopic cholecystectomy: a bicentric study. - Emma Montella; Marta Rosaria Marino; Massimo Majolo; Eliana Raiola; Giuseppe Russo; Giuseppe Longo; Michele Sparano; Anna Borrelli; Maria Triassi (ICMHI, 2022)

A multiple regression model for modelling the hospital patients LOS' of laparoscopic cholecystectomy: a bicentric study. - Ida Santalucia; Marta Rosaria Marino; Eliana Raiola; Massimo Majolo; Giuseppe Russo; Giuseppe Longo; Giuseppe Ferrucci; Anna Borrelli; Maria Triassi (ICMHI, 2022)

Evaluation of different machine learning algorithms for predicting the length of stay in the emergency departments: a single-centre study. - Carlo Ricciardi; Marta Rosaria Marino; Teresa Angela Trunfio; Massimo Majolo; Maria Romano; Francesco Amato 001; Giovanni Improta (Frontiers Digit. Health, 2023)

Machine Learning Models for Predicting "Left Without Being Seen" in Distributed Emergency Departments: A Comparative Study in Naples, Italy. - Andrea Fidecicchi; Ida Santalucia; Eliana Raiola; Massimo Majolo; Michelangelo Chiacchio; Maria Romano; Maria Triassi; Marta Rosaria Marino; Arianna Scala (ICBEA, 2024)