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Massimo Majolo

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2020 – today

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2024
[c24]
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  - conf/icbea2/FidecicchiSRMCR24
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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
[j1]
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  - journals/fdgth/RicciardiMTMRAI23
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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)
2022
[c23]
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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
[c22]
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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
[c21]
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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
[c20]
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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
[c19]
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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
[c18]
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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
[c17]
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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
[c16]
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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
[c15]
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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
[c14]
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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
[c13]
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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
[c12]
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  - conf/becb/MontellaMGMLTS22
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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
[c11]
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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
[c10]
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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
[c9]
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  - conf/becb/ValenteMMLBFBTA22
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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
[c8]
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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
[c7]
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  - conf/becb/TrunfioMGMRFLTS22
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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
[c6]
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  - conf/icbbs/MarinoMGRLTT22
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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
[c5]
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  - conf/icmhi/MontellaMMRRLLB22
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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
[c4]
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  - conf/icmhi/SantaluciaMRMRL22
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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
[c3]
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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
2021
[c2]
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  - conf/becb/PonsiglioneMLRT21
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Alfonso Maria Ponsiglione, Massimo Majolo, Giuseppe Longo, Giuseppe Russo, Maria Triassi, Eliana Raiola, Giovanni Improta:
Analysis of voluntary departures from the Emergency Department of the hospital AORN "A. Cardarelli". BECB 2021: 27:1-27:4
[c1]
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  - conf/icbbs/MajoloPLRTRI21
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Massimo Majolo, Alfonso Maria Ponsiglione, Giuseppe Longo, Giuseppe Russo, Maria Triassi, Eliana Raiola, Giovanni Improta:
Studying length of stay in the Emergency Department of A.O.R.N. "Antonio Cardarelli" of Naples. ICBBS 2021: 144-147

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