Using Statistical Analysis and Logistic Regression to study the effect of CoViD-19 on hospital activities of the C.O.U. General Surgery and Kidney Transplants. - Rossella Alfano; Ilaria Loperto; Teresa Angela Trunfio; Cristiana Giglio; Giovanni Rossi; Anna Borrelli; Arianna Scala; Paolo Gargiulo (BECB, 2021)

Investigating the impact of age, gender, and comorbid conditions on the prolonged length of stay after endarterectomy. - Chiara De Lauri; Teresa Angela Trunfio; Ylenia Colella; Andrea Lombardi; Anna Borrelli; Paolo Gargiulo (BECB, 2021)

Appropriate admission in Covid-19 era: the case study of the C.O.U. Neurology and Stroke Unit. - Ilaria Loperto; Arianna Scala; Rossella Alfano; Teresa Angela Trunfio; Cristiana Giglio; Giovanni Rossi; Anna Borrelli; Maria Triassi; Giovanni Improta (BECB, 2021)

Regression and Machine Learning analysis to predict the length of stay in patients undergoing hip replacement surgery. - Cristina Ponsiglione; Teresa Angela Trunfio; Francesco Bruno; Anna Borrelli (BECB, 2021)

A comparison of different Machine Learning algorithms for predicting the length of hospital stay for patients undergoing cataract surgery. - Arianna Scala; Teresa Angela Trunfio; Andrea Lombardi; Cristiana Giglio; Anna Borrelli; Maria Triassi (BECB, 2021)

The effect of CoViD-19 pandemic on the hospitalization of a department of Emergency Surgery. - Teresa Angela Trunfio; Lucia De Coppi; Rossella Alfano; Anna Borrelli; Giuseppe Ferrucci; Paolo Gargiulo (BECB, 2021)

The Impact of Covid-19 on the Length of Stay of the Plastic Surgery Department. - Teresa Angela Trunfio; Arianna Scala; Cristiana Giglio; Giuseppe Ferrucci; Anna Borrelli; Paolo Gargiulo (BECB, 2021)

Modelling the hospital length of stay for patients undergoing laparoscopic appendectomy through a Multiple Regression Model. - Teresa Angela Trunfio; Arianna Scala; Cristiana Giglio; Giovanni Rossi; Anna Borrelli; Paolo Gargiulo; Maria Romano (BECB, 2021)

The Impact of CoViD-19 on hospital activities: the case of the C.O.U. Otorhinolaryngology. - Ilaria Loperto; Rossella Alfano; Arianna Scala; Giuseppe Ferrucci; Anna Borrelli; Teresa Angela Trunfio; Paolo Gargiulo (ICBBS, 2021)

A study of healthcare associated infections in the Intensive Care Unit of "Federico II" University Hospital through Logistic Regression. - Emma Montella; Teresa Angela Trunfio; Umberto Armonia; Clotilde De Marco; Martina Profeta; Maria Triassi; Paolo Gargiulo (ICBBS, 2021)

Modelling the length of hospital stay after knee replacement surgery through Machine Learning and Multiple Linear Regression at "San Giovanni di Dio e Ruggi d'Aragona" University Hospital. - Alfonso Maria Ponsiglione; Teresa Angela Trunfio; Giovanni Rossi; Anna Borrelli; Maria Romano (ICBBS, 2021)

Predicting length of stay using regression and Machine Learning models in Intensive Care Unit: a pilot study. - Ilaria Picone; Imma Latessa; Antonella Fiorillo; Arianna Scala; Teresa Angela Trunfio; Maria Triassi (ICBET, 2021)

A Machine Learning approach to study soft-tissue facial characteristics as indicators of woman attractiveness. - Raoul D'Alessio; Alberto Laino; Teresa Angela Trunfio; Roberto Deli (ICMHI, 2021)

Measure and comparison of facial attractiveness indices through photogrammetry and statistical analysis. - Raoul D'Alessio; Alberto Laino; Teresa Angela Trunfio; Roberto Deli (ICMHI, 2021)

Modelling the hospital length of stay for patients undergoing laparoscopic cholecystectomy through a multiple regression model. - Arianna Scala; Teresa Angela Trunfio; Anna Borrelli; Giuseppe Ferrucci; Maria Triassi; Giovanni Improta (ICMHI, 2021)

A comparison of different regression and classification methods for predicting the length of hospital stay after cesarean sections. - Teresa Angela Trunfio; Alfonso Maria Ponsiglione; Antonietta Ferrara; Anna Borrelli; Paolo Gargiulo (ICMHI, 2021)

Application of the Lean Six Sigma approach to the study of the LOS of patients who undergo laparoscopic cholecystectomy at the San Giovanni di Dio and Ruggi d'Aragona University Hospital. - Teresa Angela Trunfio; Arianna Scala; Anna Borrelli; Michele Sparano; Maria Triassi; Giovanni Improta (ICMHI, 2021)

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)

Machine Learning Algorithms to Predict Healthcare Associated Infections in a Neonatal Intensive Care Unit. - Emma Montella; Marta Rosaria Marino; Arianna Scala; Teresa Angela Trunfio; Maria Triassi; Giovanni Improta (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)

Sustaining Continuous Improvement of a Higher Health Education Service Through Analytical Methodologies for Determining Customer Satisfaction. - Alfonso Maria Ponsiglione; Angelo Rosa; Teresa Angela Trunfio; Eliana Raiola; Giuseppe Longo; Maria Triassi; Francesco Amato 001 (ELEC, 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)

Study of coronary artery bypass grafting admission in Covid-19 era: a bicentric study. - Marta Rosaria Marino; Eliana Raiola; Giuseppe Russo; Andrea Lombardi; Anna Borrelli; Maria Triassi; Teresa Angela Trunfio (ICBBS, 2022)

Analysis of the impact of COVID-19 on the organization of liver transplantation. - Marta Rosaria Marino; Eliana Raiola; Ruggero Rispo; Giuseppe Russo; Giuseppe Longo; Maria Triassi; Teresa Angela Trunfio (ICBBS, 2022)

Mode of discharge in CoViD-19 era: the case of the C.O.U. Oncology of "San Giovanni di Dio e Ruggi d'Aragona" University Hospital. - Rossella Alfano; Ilaria Loperto; Arianna Scala; Teresa Angela Trunfio; Andrea Lombardi; Anna Borrelli; Maria Triassi; Giovanni Improta (ICMHI, 2022)

Facial attractiveness: are there features recognized as a standard? - Raoul D'Alessio; Teresa Angela Trunfio; Maria Leonetti; Alberto Laino; Roberto Deli; Luigi Maria Galantucci (ICMHI, 2022)

The impact of CoViD-19 on the hospital activities: the case of the Neurosurgery Department of "San Giovanni di Dio e Ruggi d'Aragona" University Hospital. - Arianna Scala; Teresa Angela Trunfio; Ilaria Loperto; Rossella Alfano; Andrea Lombardi; Anna Borrelli; Maria Triassi; Giovanni Improta (ICMHI, 2022)

Multiple regression model to analyze the total LOS for patients undergoing laparoscopic appendectomy. - Teresa Angela Trunfio; Arianna Scala; Cristiana Giglio; Giovanni Rossi; Anna Borrelli; Maria Romano; Giovanni Improta (BMC Medical Informatics Decis. Mak., 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)

An ANN approach for ICU management in 4.0 environment tested on MIMIC-III database of Boston Beth Israel Deaconess Medical Center. - Teresa Murino; Valentina Popolo; Teresa Angela Trunfio; Marta Rosaria Marino; Lorenza Paulone; Arianna Scala (ICBEA, 2024)

Management of surgical patient pathway: a quantitative analysis. - Alfonso Maria Ponsiglione; Andrea Fidecicchi; Ida Santalucia; Emanuele Caputi; Giulia Spatola; Antonio D'Amore; Gaetano D'Onofrio; Francesco Amato 001; Teresa Angela Trunfio (ICBEA, 2024)

Empowering Patient Risk Management Strategies: Validation the AHRQ Elixhauser Mortality Index on Italian Hospital Administrative Dataset. - Andrea Fidecicchi; Teresa Angela Trunfio; Antonio D'Amore; Maria Pia Mannelli; Arianna Scala (ICMHI, 2024)

Applying the DMAIC Cycle and Machine Learning to Examine COVID-19's Effects on Emergency Department-LOS. - Arianna Scala; Teresa Angela Trunfio; Giovanni Improta (ICMHI, 2024)

The analysis of COVID-19's Effects on Emergency Department-LOS using LSS approach and Machine Learning. - Teresa Angela Trunfio; Arianna Scala; Giovanni Improta (ICMHI, 2024)