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Arianna Scala
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2020 – today
- 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) - [c31]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 - [c30]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 - [c29]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 - [c28]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 - [c27]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 - [c26]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 - [c25]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 - [c24]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 - [c23]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 - [c22]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 - [c21]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 - [c20]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
- [c19]Ilaria Loperto, Arianna Scala, Lucia Rossano, Rosa Carrano
, Stefano Federico, Maria Triassi, Giovanni Improta
:
Use of regression models to predict glomerular filtration rate in kidney transplanted patients. BECB 2021: 25:1-25:4 - [c18]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 - [c17]Arianna Scala, Teresa Angela Trunfio, Andrea Lombardi
, Cristiana Giglio, Anna Borrelli, Maria Triassi:
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 - [c16]Alfonso Maria Ponsiglione
, Martina Profeta, Cristiana Giglio, Andrea Lombardi
, Anna Borrelli, Arianna Scala:
Modeling the variation in length of stay for appendectomy and cholecystectomy interventions in the emergency general surgery. BECB 2021: 42:1-42:4 - [c15]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 - [c14]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 - [c13]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 - [c12]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 - [c11]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 - [c10]Ilaria Loperto, Lucia De Coppi
, Arianna Scala, Anna Borrelli, Giuseppe Ferrucci, Maria Triassi:
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 - [c9]Arianna Scala, Lucia De Coppi
, Ilaria Loperto, Anna Borrelli, Andrea Lombardi
, Maria Triassi:
Investigating the impact of CoViD-19 on the activities of a Department of General Medicine. BECB 2021: 53:1-53:4 - [c8]Emma Montella
, Arianna Scala, Maddalena Di Lillo, Marco Lamberti, Leandro Donisi, Maria Triassi, Martina Profeta:
Impact of hospital infections in the clinical medicine area of "Federico II" University Hospital of Naples assessed by means of statistical analysis and logistic regression. ICBBS 2021: 139-143 - [c7]Ilaria Loperto, Rossella Alfano, Arianna Scala, Giuseppe Ferrucci, Anna Borrelli, Teresa Angela Trunfio
, Paolo Gargiulo:
The Impact of CoViD-19 on hospital activities: the case of the C.O.U. Otorhinolaryngology. ICBBS 2021: 157-161 - [c6]Ilaria Picone, Imma Latessa, Antonella Fiorillo
, Arianna Scala, Teresa Angela Trunfio
, Maria Triassi:
Predicting length of stay using regression and Machine Learning models in Intensive Care Unit: a pilot study. ICBET 2021: 52-58 - [c5]Arianna Scala, Ilaria Loperto, Rosa Carrano
, Stefano Federico, Maria Triassi, Giovanni Improta
:
Assessment of proteinuria level in nephrology patients using a machine learning approach. ICMHI 2021: 13-16 - [c4]Ylenia Colella, Arianna Scala, Chiara De Lauri, Francesco Bruno, Giuseppe Cesarelli
, Giuseppe Ferrucci, Anna Borrelli:
Studying variables affecting the length of stay in patients with lower limb fractures by means of Machine Learning. ICMHI 2021: 39-43 - [c3]Teresa Angela Trunfio
, Arianna Scala, Anna Borrelli, Michele Sparano, Maria Triassi, Giovanni Improta
:
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 - [c2]Arianna Scala, Teresa Angela Trunfio
, Anna Borrelli, Giuseppe Ferrucci, Maria Triassi, Giovanni Improta
:
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
, Antonietta Ferrara, Anna Borrelli:
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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