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ORCIDMarta Rosaria Marino
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2020 – today
- 2023
[j1]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)- [c44]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]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]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]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]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]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]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 - [c37]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]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]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]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]Marta Rosaria Marino, Anna Borrelli, Maria Triassi, Giovanni Improta:
Study of hospitalization for retinal surgery using classification algorithms. ICMHI 2023: 198-202 - 2022
- [c32]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]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]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]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]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]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]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]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]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]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]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]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]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]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]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]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]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 - [c15]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]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 - [c13]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 - [c12]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 - [c11]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 - [c10]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 - [c9]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 - [c8]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 - [c7]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]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]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 - [c4]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 - [c3]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 - [c2]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 - [c1]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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