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Journal Articles

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2023
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Carlo Ricciardi, Marta Rosaria Marino, Teresa Angela Trunfio, Massimo Majolo, Maria Romano, Francesco Amato, Giovanni Improta:
Evaluation of different machine learning algorithms for predicting the length of stay in the emergency departments: a single-centre study. Frontiers Digit. Health 5 (2023)

Conference and Workshop Papers

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2024
[c46]
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Teresa Murino, Valentina Popolo, Teresa Angela Trunfio, Marta Rosaria Marino, Lorenza Paulone, Arianna Scala:
An ANN approach for ICU management in 4.0 environment tested on MIMIC-III database of Boston Beth Israel Deaconess Medical Center. ICBEA 2024: 163-168
[c45]
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Andrea Fidecicchi, Ida Santalucia, Eliana Raiola, Massimo Majolo, Michelangelo Chiacchio, Maria Romano, Maria Triassi, Marta Rosaria Marino, Arianna Scala:
Machine Learning Models for Predicting "Left Without Being Seen" in Distributed Emergency Departments: A Comparative Study in Naples, Italy. ICBEA 2024: 177-181
2023
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Marta Rosaria Marino, Vincenzo Bottino, Nadia De Falco, Nicoletta Basile, Mario Alessandro Russo, Maria Triassi:
A Regressive Model to Study the Hospitalization for Laparoscopic Appendectomy: A Multicenter Study. ICIMTH 2023: 127-130
[c43]
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Marta Rosaria Marino, Vincenzo Bottino, Giacomo Negri, Maria Anna Stingone, Mario Alessandro Russo, Maria Triassi:
Effect of Clinical and Demographic Variables on the Hospital Stay of Patients Undergoing Total Knee Arthroplasty. ICIMTH 2023: 131-134
[c42]
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Marta Rosaria Marino, Vincenzo Bottino, Giacomo Negri, Maria Anna Stingone, Mario Alessandro Russo, Maria Triassi:
The Classification Algorithms Applied to the Inpatient Stay for Lower Limb Surgery. ICIMTH 2023: 135-138
[c41]
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Antonio D'Amore, Gaetano D'Onofrio, Flora Ascione, Raffaele Sarnelli, Maria Triassi, Marta Rosaria Marino:
Modeling Cholecystectomy Hospital Stay Through a Linear Approach. ICIMTH 2023: 249-252
[c40]
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Gaetano D'Onofrio, Antonio D'Amore, Filippina Onofaro, Emanuele Caputi, Annalisa Napoli, Maria Triassi, Marta Rosaria Marino:
Prediction of Hospital Length Stay for Patients Undergoing Mastectomy. ICIMTH 2023: 261-264
[c39]
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Marta Rosaria Marino, Ciro Costaiola, Paola Magri, Giuseppe Longo, Maria Triassi, Giovanni Improta:
COVID-19 in Eye Surgery: The Case of a University Hospital. ICIMTH 2023: 479-482
[c38]
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Antonio D'Amore, Gaetano D'Onofrio, Andrea Fidecicchi, Maria Triassi, Marta Rosaria Marino:
Predicting In-Hospital Mortality During the COVID-19 Pandemic in Patients with Heart Failure: A Single-Center Exploratory Study. ICIMTH 2023: 487-490
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Antonio D'Amore, Gaetano D'Onofrio, Andrea Fidecicchi, Maria Triassi, Marta Rosaria Marino:
Predicting Length of Stay in Colorectal Cancer Patients: A Monocentric Study in Italy. ICMHI 2023: 155-158
[c36]
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Marta Rosaria Marino, Anna Borrelli, Giuseppe Bifulco, Maria Triassi, Giovanni Improta:
Machine learning algorithms to study the hospitalization after cesarean section: a multicenter analysis. ICMHI 2023: 164-168
[c35]
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Emma Montella, Marta Rosaria Marino, Giuseppe Longo, Ugo Trama, Alessandro Frangiosa, Alfonso Nardo, Maria Triassi, Giovanni Improta:
Implementation of a regression model to study the hospital stay of patients undergoing Laparoscopic Appendectomy: a multicenter study. ICMHI 2023: 176-181
[c34]
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Antonio D'Amore, Gaetano D'Onofrio, Andrea Fidecicchi, Maria Triassi, Marta Rosaria Marino:
Predicting Post-Operative Length of Stay after Robotic Urologic Surgery from Hospital Stay Characteristics: A Monocentric Study. ICMHI 2023: 188-191
[c33]
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Marta Rosaria Marino, Anna Borrelli, Maria Triassi, Giovanni Improta:
Study of hospitalization for retinal surgery using classification algorithms. ICMHI 2023: 198-202
2022
[c32]
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Emma Montella, Marta Rosaria Marino, Miriam Rita Castorina, Sara Ranucci, Massimo Majolo, Giuseppe Longo, Maria Triassi:
The Effect of CoViD-19 Pandemic on the Hospitalization of a Department of Oncology of an Italian Hospital. BECB 2022: 332-339
[c31]
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Emma Montella, Marta Rosaria Marino, Salvatore Bellopede, Sabrina Iodice, Massimo Majolo, Giuseppe Longo, Michele Sparano, Anna Borrelli, Maria Triassi:
A Bicentric Study to Investigate the Impact of COVID-19 on Urological Patients. BECB 2022: 348-356
[c30]
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Emma Montella, Marta Rosaria Marino, Alessandro Giovagnoli, Giuseppe Mazia, Eliana Raiola, Giuseppe Russo, Giuseppe Ferrucci, Anna Borrelli, Maria Triassi:
Comparison Between Two Hospitals to Study the Impact of COVID-19 on Emergency Medicine Activities. BECB 2022: 357-364
[c29]
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Arianna Scala, Marta Rosaria Marino, Cristiana Giglio, Massimo Majolo, Giuseppe Longo, Giuseppe Ferrucci, Anna Borrelli, Maria Triassi:
Machine Learning Algorithms to Predict LOS in Patients Undergoing Heart Bypass Surgery: A Bicentric Study. BECB 2022: 375-383
[c28]
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Ida Santalucia, Marta Rosaria Marino, Massimo Majolo, Giuseppe Longo, Andrea Lombardi, Anna Borrelli, Maria Triassi:
Statistical Analysis and Logistic Regression to Assess How COVID-19 Has Changed Department of General Medicine Patients' Management: A Bicentric Study. BECB 2022: 401-409
[c27]
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Emma Montella, Marta Rosaria Marino, Alessandro Frangiosa, Giuseppe Mazia, Massimo Majolo, Eliana Raiola, Giuseppe Russo, Giuseppe Longo, Giovanni Rossi, Anna Borrelli, Maria Triassi:
Multiple Regression Model to Analyze the Length of Stay for Patients Undergoing Laparoscopic Appendectomy: A Bicentric Study. BECB 2022: 410-419
[c26]
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Emma Montella, Marta Rosaria Marino, Arianna Scala, Teresa Angela Trunfio, Maria Triassi, Giovanni Improta:
Machine Learning Algorithms to Predict Healthcare Associated Infections in a Neonatal Intensive Care Unit. BECB 2022: 420-427
[c25]
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Emma Montella, Marta Rosaria Marino, Massimo Majolo, Eliana Raiola, Giuseppe Russo, Giuseppe Longo, Giovanni Rossi, Anna Borrelli, Maria Triassi:
Modeling LOS After Percutaneous Valvuloplasty: A Bicentric Study. BECB 2022: 428-435
[c24]
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Ida Santalucia, Marta Rosaria Marino, Eliana Raiola, Massimo Majolo, Giuseppe Russo, Giuseppe Longo, Enrico Festa, Giuseppe Ferrucci, Anna Borrelli, Maria Triassi:
Effects of Covid-19 Protocols on Treatment of Patients with Head-Neck Diseases. BECB 2022: 436-444
[c23]
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Alfonso Maria Ponsiglione, Marta Rosaria Marino, Eliana Raiola, Giuseppe Russo, Anna Borrelli, Giovanni Improta:
Predictive Models for Studying Emergency Department Abandonment Rates: A Bicentric Study. BECB 2022: 445-452
[c22]
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Alfonso Maria Ponsiglione, Marta Rosaria Marino, Eliana Raiola, Francesco Smeraglia, Enrico Festa, Giuseppe Russo, Anna Borrelli, Arianna Scala:
Analyzing LOS Variation for Patients Under Emergency Interventions: A Bicentric Study. BECB 2022: 453-462
[c21]
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Ida Santalucia, Marta Rosaria Marino, Massimo Majolo, Eliana Raiola, Giuseppe Russo, Giuseppe Longo, Morena Anna Basso, Giovanni Balato, Andrea Lombardi, Anna Borrelli, Maria Triassi:
Machine Learning Algorithms to Study Features Affecting the Length of Stay in Patients with Lower Limb Fractures: A Bicentric Study. BECB 2022: 463-472
[c20]
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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:
The Effect of CoViD-19 Pandemic on the Hospitalization of Two Department of Emergency Surgery in Two Italian Hospitals. BECB 2022: 473-481
[c19]
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Emma Montella, Marta Rosaria Marino, Cristiana Giglio, Eliana Raiola, Massimo Majolo, Giuseppe Russo, Maria Triassi, Teresa Angela Trunfio:
Analysis of the Reorganisation of Skin Transplantation Surgeries During the COVID-19 Pandemic. BECB 2022: 482-488
[c18]
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Emma Montella, Marta Rosaria Marino, Eliana Raiola, Massimo Majolo, Giuseppe Russo, Giovanni Rossi, Anna Borrelli, Maria Triassi, Arianna Scala:
Covid-19: The Effect on Hospitalization Patient of Ophthalmology Department in "Antonio Cardarelli" Hospital. BECB 2022: 489-495
[c17]
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Emma Montella, Marta Rosaria Marino, Cristiana Giglio, Massimo Majolo, Giuseppe Longo, Maria Triassi, Arianna Scala:
Use of Classification Algorithms to Investigate Inpatient Stay for Retinal Diseases. BECB 2022: 496-503
[c16]
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Arianna Scala, Marta Rosaria Marino, Cristiana Giglio, Eliana Raiola, Giuseppe Russo, Morena Anna Basso, Giovanni Rossi, Anna Borrelli, Maria Triassi:
Use of Statistical Analysis to Evaluate How Covid-19 Has Changed the Management of the Neurosurgery Department of the AORN "A. Cardarelli" in Naples. BECB 2022: 504-510
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Alfonso Maria Ponsiglione, Marta Rosaria Marino, Eliana Raiola, Giuseppe Russo, Giovanni Balato, Enrico Festa, Giovanni Rossi, Anna Borrelli, Maria Triassi, Maria Romano:
Predictive Algorithms to Study the Hospitalization for Knee Replacement Surgery: A Bicentric Study. BECB 2022: 511-519
[c14]
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Emma Montella, Marta Rosaria Marino, Cristiana Giglio, Eliana Raiola, Giuseppe Russo, Giovanni Rossi, Anna Borrelli, Maria Triassi, Arianna Scala:
Analysis of Hospital Admissions of Neurological Patients in the COVID-19 Era: Comparison Between Hospitals. BECB 2022: 520-527
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Martina Profeta, Marta Rosaria Marino, Cristiana Giglio, Francesco Smeraglia, Enrico Festa, Andrea Lombardi, Anna Borrelli, Maria Triassi, Alfonso Maria Ponsiglione:
Regression Models to Study Emergency Surgery Admissions. BECB 2022: 528-536
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Teresa Angela Trunfio, Marta Rosaria Marino, Cristiana Giglio, Massimo Majolo, Giuseppe Longo, Morena Anna Basso, Giovanni Rossi, Anna Borrelli, Maria Triassi:
Impact of COVID-19 in a Surgery Department: Comparison Between Two Italian Hospitals. BECB 2022: 537-544
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Arianna Scala, Marta Rosaria Marino, Cristiana Giglio, Massimo Majolo, Giuseppe Longo, Giuseppe Ferrucci, Anna Borrelli, Maria Triassi:
How has COVID-19 Changed the Activities of Plastic Surgery? A Bicentric Study. BECB 2022: 545-551
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Antonio Saverio Valente, Marta Rosaria Marino, Massimo Majolo, Giuseppe Longo, Giovanni Balato, Enrico Festa, Anna Borrelli, Maria Triassi, Francesco Amato, Maria Romano:
Multiple Linear Regression to Analyze the Effect of Emergency Diagnostic Procedures on the Hospitalization. BECB 2022: 552-559
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Arianna Scala, Marta Rosaria Marino, Massimo Majolo, Giuseppe Russo, Francesco Smeraglia, Morena Anna Basso, Francesco Bruno, Anna Borrelli, Alfonso Maria Ponsiglione:
Regression and Machine Learning Algorithm to Study the LOS of Patients Undergoing Hip Surgery. BECB 2022: 560-569
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Emma Montella, Marta Rosaria Marino, Cristiana Giglio, Giuseppe Longo, Eliana Raiola, Maria Triassi, Anna Borrelli, Antonio Saverio Valente:
Regression Model to Predict LOS in General Medicine Department: A Bicentric Study. BECB 2022: 570-576
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Teresa Angela Trunfio, Marta Rosaria Marino, Cristiana Giglio, Massimo Majolo, Eliana Raiola, Enrico Festa, Giuseppe Longo, Maria Triassi, Arianna Scala:
Study of Variables Influencing LOS with Machine Learning in Patients with Kidney Disease. BECB 2022: 577-583
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Marta Rosaria Marino, Massimo Majolo, Marco Grasso, Giuseppe Russo, Giuseppe Longo, Maria Triassi, Teresa Angela Trunfio:
A machine learning approach to predict the hospital length of stay after kidney surgery. ICBBS 2022: 54-58
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Marta Rosaria Marino, Eliana Raiola, Giuseppe Russo, Andrea Lombardi, Anna Borrelli, Maria Triassi, Teresa Angela Trunfio:
Study of coronary artery bypass grafting admission in Covid-19 era: a bicentric study. ICBBS 2022: 110-114
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Marta Rosaria Marino, Eliana Raiola, Ruggero Rispo, Giuseppe Russo, Giuseppe Longo, Maria Triassi, Teresa Angela Trunfio:
Analysis of the impact of COVID-19 on the organization of liver transplantation. ICBBS 2022: 134-137
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Emma Montella, Marta Rosaria Marino, Massimo Majolo, Eliana Raiola, Giuseppe Russo, Giuseppe Longo, Andrea Lombardi, Anna Borrelli, Maria Triassi:
Regression and classification methods for predicting the length of hospital stay after cesarean section: a bicentric study. ICMHI 2022: 135-140
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Ida Santalucia, Marta Rosaria Marino, Eliana Raiola, Massimo Majolo, Giuseppe Russo, Giuseppe Longo, Giuseppe Ferrucci, Anna Borrelli, Maria Triassi:
A multiple regression model for modelling the hospital patients LOS' of laparoscopic cholecystectomy: a bicentric study. ICMHI 2022: 205-209
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Emma Montella, Marta Rosaria Marino, Massimo Majolo, Eliana Raiola, Giuseppe Russo, Giuseppe Longo, Michele Sparano, Anna Borrelli, Maria Triassi:
Lean Six Sigma approach to the study of the LOS of patients who undergo laparoscopic cholecystectomy: a bicentric study. ICMHI 2022: 247-252

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