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Anna Borrelli
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2020 – today
- 2023
- [c60]Marta Rosaria Marino
, Anna Borrelli
Machine learning algorithms to study the hospitalization after cesarean section: a multicenter analysis. ICMHI 2023: 164-168 - [c59]Marta Rosaria Marino
Study of hospitalization for retinal surgery using classification algorithms. ICMHI 2023: 198-202 - 2022
- [j1]Teresa Angela Trunfio, Arianna Scala, Cristiana Giglio, Giovanni Rossi, Anna Borrelli, Maria Romano, Giovanni Improta:
Multiple regression model to analyze the total LOS for patients undergoing laparoscopic appendectomy. BMC Medical Informatics Decis. Mak. 22(1): 141 (2022) - [c58]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 - [c57]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 - [c56]Arianna Scala
Machine Learning Algorithms to Predict LOS in Patients Undergoing Heart Bypass Surgery: A Bicentric Study. BECB 2022: 375-383 - [c55]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 - [c54]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 - [c53]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 - [c52]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 - [c51]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 - [c50]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 - [c49]Ida Santalucia, Marta Rosaria Marino, Massimo Majolo, Eliana Raiola, Giuseppe Russo, Giuseppe Longo, Morena Anna Basso, Giovanni Balato
Machine Learning Algorithms to Study Features Affecting the Length of Stay in Patients with Lower Limb Fractures: A Bicentric Study. BECB 2022: 463-472 - [c48]Emma Montella, Marta Rosaria Marino, Miriam Rita Castorina, Sara Ranucci
The Effect of CoViD-19 Pandemic on the Hospitalization of Two Department of Emergency Surgery in Two Italian Hospitals. BECB 2022: 473-481 - [c47]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 - [c46]Arianna Scala
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 - [c45]Alfonso Maria Ponsiglione, Marta Rosaria Marino, Eliana Raiola, Giuseppe Russo, Giovanni Balato
Predictive Algorithms to Study the Hospitalization for Knee Replacement Surgery: A Bicentric Study. BECB 2022: 511-519 - [c44]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 - [c43]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 - [c42]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 - [c41]Arianna Scala
How has COVID-19 Changed the Activities of Plastic Surgery? A Bicentric Study. BECB 2022: 545-551 - [c40]Antonio Saverio Valente, Marta Rosaria Marino, Massimo Majolo, Giuseppe Longo, Giovanni Balato
Multiple Linear Regression to Analyze the Effect of Emergency Diagnostic Procedures on the Hospitalization. BECB 2022: 552-559 - [c39]Arianna Scala
Regression and Machine Learning Algorithm to Study the LOS of Patients Undergoing Hip Surgery. BECB 2022: 560-569 - [c38]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 - [c37]Marta Rosaria Marino
Study of coronary artery bypass grafting admission in Covid-19 era: a bicentric study. ICBBS 2022: 110-114 - [c36]Emma Montella, Marta Rosaria Marino, Massimo Majolo
Regression and classification methods for predicting the length of hospital stay after cesarean section: a bicentric study. ICMHI 2022: 135-140 - [c35]Ida Santalucia, Marta Rosaria Marino, Eliana Raiola, Massimo Majolo
A multiple regression model for modelling the hospital patients LOS' of laparoscopic cholecystectomy: a bicentric study. ICMHI 2022: 205-209 - [c34]Emma Montella, Marta Rosaria Marino, Massimo Majolo
Lean Six Sigma approach to the study of the LOS of patients who undergo laparoscopic cholecystectomy: a bicentric study. ICMHI 2022: 247-252 - [c33]Rossella Alfano, Ilaria Loperto, Arianna Scala, Teresa Angela Trunfio, Andrea Lombardi, Anna Borrelli, Maria Triassi, Giovanni Improta
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. ICMHI 2022: 258-261 - [c32]Arianna Scala, Teresa Angela Trunfio, Ilaria Loperto, Rossella Alfano, Andrea Lombardi, Anna Borrelli, Maria Triassi, Giovanni Improta
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. ICMHI 2022: 267-270 - 2021
- [c31]Cristina Ponsiglione, Teresa Angela Trunfio, Francesco Bruno, Anna Borrelli:
Regression and Machine Learning analysis to predict the length of stay in patients undergoing hip replacement surgery. BECB 2021: 19:1-19:5 - [c30]Martina Profeta, Alfonso Maria Ponsiglione
Comparison of machine learning algorithms to predict length of hospital stay in patients undergoing heart bypass surgery. BECB 2021: 24:1-24:5 - [c29]Cristiana Giglio, Chiara De Lauri, Antonio Della Vecchia, Anna Borrelli, Giuseppe Russo, Maria Triassi, Giovanni Improta
Investigation of factors increasing waiting times in the Emergency Departments of "San Giovanni di Dio e Ruggi d'Aragona" Hospital through machine learning. BECB 2021: 26:1-26:5 - [c28]Chiara De Lauri, Teresa Angela Trunfio, Ylenia Colella, Andrea Lombardi
Investigating the impact of age, gender, and comorbid conditions on the prolonged length of stay after endarterectomy. BECB 2021: 30:1-30:3 - [c27]Giovanni Improta
A Lean Six Sigma approach to improve the Emergency Department of University Hospital "San Giovanni di Dio e Ruggi d'Aragona". BECB 2021: 31:1-31:4 - [c26]Giovanni Improta
Overcrowding in emergency department: a comparison between indexes. BECB 2021: 35:1-35:4 - [c25]Teresa Angela Trunfio, Arianna Scala, Cristiana Giglio, Giovanni Rossi, Anna Borrelli, Paolo Gargiulo, Maria Romano:
Modelling the hospital length of stay for patients undergoing laparoscopic appendectomy through a Multiple Regression Model. BECB 2021: 36:1-36:5 - [c24]Giuseppe Cesarelli
Trend of the LOS for patients suffering from different kidney injuries. BECB 2021: 37:1-37:4 - [c23]Arianna Scala, Teresa Angela Trunfio, Andrea Lombardi
A comparison of different Machine Learning algorithms for predicting the length of hospital stay for patients undergoing cataract surgery. BECB 2021: 38:1-38:4 - [c22]Ylenia Colella, Chiara De Lauri, Alfonso Maria Ponsiglione
A comparison of different Machine Learning algorithms for predicting the length of hospital stay for pediatric patients. BECB 2021: 39:1-39:4 - [c21]Alfonso Maria Ponsiglione
Modeling the variation in length of stay for appendectomy and cholecystectomy interventions in the emergency general surgery. BECB 2021: 42:1-42:4 - [c20]Martina Profeta, Giuseppe Cesarelli
Influence of demographic and organizational factors on the length of hospital stay in a general medicine department: Factors influencing length of stay in general medicine. BECB 2021: 43:1-43:4 - [c19]Martina Profeta, Giuseppe Cesarelli
Impact of diagnostic techniques on the length of stay in emergency medicine. BECB 2021: 44:1-44:4 - [c18]Teresa Angela Trunfio, Arianna Scala, Cristiana Giglio, Giuseppe Ferrucci, Anna Borrelli, Paolo Gargiulo:
The Impact of Covid-19 on the Length of Stay of the Plastic Surgery Department. BECB 2021: 45:1-45:5 - [c17]Rossella Alfano, Ilaria Loperto, Teresa Angela Trunfio, Cristiana Giglio, Giovanni Rossi, Anna Borrelli, Arianna Scala, Paolo Gargiulo:
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. BECB 2021: 46:1-46:3 - [c16]Ilaria Loperto, Arianna Scala, Rossella Alfano, Teresa Angela Trunfio, Cristiana Giglio, Giovanni Rossi, Anna Borrelli, Maria Triassi, Giovanni Improta:
Appropriate admission in Covid-19 era: the case study of the C.O.U. Neurology and Stroke Unit. BECB 2021: 47:1-47:4 - [c15]Teresa Angela Trunfio, Lucia De Coppi
The effect of CoViD-19 pandemic on the hospitalization of a department of Emergency Surgery. BECB 2021: 48:1-48:4 - [c14]Ilaria Loperto, Arianna Scala, Anna Borrelli, Giovanni Rossi, Maria Triassi:
Analysis of the adequacy of admissions in a Complex Operative Unit of General Surgery and Day Surgery and Breast Unit. BECB 2021: 49:1-49:5 - [c13]Ilaria Loperto, Anna Borrelli, Andrea Lombardi
The study of variation in the Diagnostic Related Group Weight in a Complex Operative Units of Paediatrics and Paediatric Surgery due to CoViD-19 pandemic. BECB 2021: 50:1-50:4 - [c12]Arianna Scala, Rossella Alfano, Anna Borrelli, Giovanni Rossi, Maria Triassi:
Logistic Regression to study the change in length of stay in a department of Ophthalmology in CoViD-19 era. BECB 2021: 51:1-51:4 - [c11]Ilaria Loperto, Lucia De Coppi
Use of statistical analysis and logistic regression to study the length of stay in an Emergency Medicine Department in CoViD-19 era. BECB 2021: 52:1-52:3 - [c10]Arianna Scala, Lucia De Coppi
Investigating the impact of CoViD-19 on the activities of a Department of General Medicine. BECB 2021: 53:1-53:4 - [c9]Ilaria Loperto, Anna Borrelli, Michele Sparano, Maria Triassi:
Hospital activities and CoViD-19: the case study of a Urology Department. BECB 2021: 54:1-54:4 - [c8]Alfonso Maria Ponsiglione
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. ICBBS 2021: 112-116 - [c7]Giovanni Improta, Ylenia Colella, Giovanni Rossi, Anna Borrelli, Giuseppe Russo, Maria Triassi:
Use of machine learning to predict abandonment rates in an emergency department. ICBBS 2021: 153-156 - [c6]Ilaria Loperto, Rossella Alfano, Arianna Scala
The Impact of CoViD-19 on hospital activities: the case of the C.O.U. Otorhinolaryngology. ICBBS 2021: 157-161 - [c5]Ylenia Colella, Arianna Scala, Chiara De Lauri, Francesco Bruno, Giuseppe Cesarelli
Studying variables affecting the length of stay in patients with lower limb fractures by means of Machine Learning. ICMHI 2021: 39-43 - [c4]Teresa Angela Trunfio
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. ICMHI 2021: 50-54 - [c3]Teresa Angela Trunfio
A comparison of different regression and classification methods for predicting the length of hospital stay after cesarean sections. ICMHI 2021: 63-67 - [c2]Arianna Scala, Teresa Angela Trunfio
Modelling the hospital length of stay for patients undergoing laparoscopic cholecystectomy through a multiple regression model. ICMHI 2021: 68-72 - [c1]Arianna Scala, Ilaria Loperto, Lucia Rossano, Giuseppe Cesarelli
Multiple Regression and Machine Learning to investigate factors influencing the length of hospital stay after valvuloplasty. ICMHI 2021: 78-81
Coauthor Index
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