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Teresa Angela Trunfio
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2020 – today
- 2024
- [c31]Andrea Fidecicchi, Teresa Angela Trunfio, Antonio D'Amore, Maria Pia Mannelli, Arianna Scala:
Empowering Patient Risk Management Strategies: Validation the AHRQ Elixhauser Mortality Index on Italian Hospital Administrative Dataset. ICMHI 2024: 251-255 - [c30]Teresa Angela Trunfio, Arianna Scala, Giovanni Improta:
The analysis of COVID-19's Effects on Emergency Department-LOS using LSS approach and Machine Learning. ICMHI 2024: 268-274 - [c29]Arianna Scala, Teresa Angela Trunfio, Giovanni Improta:
Applying the DMAIC Cycle and Machine Learning to Examine COVID-19's Effects on Emergency Department-LOS. ICMHI 2024: 291-297 - 2023
- [j2]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
- [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) - [c28]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 - [c27]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 - [c26]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 - [c25]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 - [c24]Alfonso Maria Ponsiglione, Angelo Rosa, Teresa Angela Trunfio, Eliana Raiola, Giuseppe Longo, Maria Triassi, Francesco Amato:
Sustaining Continuous Improvement of a Higher Health Education Service Through Analytical Methodologies for Determining Customer Satisfaction. ELEC 2022: 246-257 - [c23]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 - [c22]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 - [c21]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 - [c20]Raoul D'Alessio, Teresa Angela Trunfio, Maria Leonetti, Alberto Laino, Roberto Deli, Luigi Maria Galantucci:
Facial attractiveness: are there features recognized as a standard? ICMHI 2022: 18-23 - [c19]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 - [c18]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
- [c17]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 - [c16]Chiara De Lauri, Teresa Angela Trunfio, Ylenia Colella, Andrea Lombardi, Anna Borrelli, Paolo Gargiulo:
Investigating the impact of age, gender, and comorbid conditions on the prolonged length of stay after endarterectomy. BECB 2021: 30:1-30:3 - [c15]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 - [c14]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 - [c13]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 - [c12]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 - [c11]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 - [c10]Teresa Angela Trunfio, Lucia De Coppi, Rossella Alfano, Anna Borrelli, Giuseppe Ferrucci, Paolo Gargiulo:
The effect of CoViD-19 pandemic on the hospitalization of a department of Emergency Surgery. BECB 2021: 48:1-48:4 - [c9]Alfonso Maria Ponsiglione, Teresa Angela Trunfio, Giovanni Rossi, Anna Borrelli, Maria Romano:
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 - [c8]Emma Montella, Teresa Angela Trunfio, Umberto Armonia, Clotilde De Marco, Martina Profeta, Maria Triassi, Paolo Gargiulo:
A study of healthcare associated infections in the Intensive Care Unit of "Federico II" University Hospital through Logistic Regression. ICBBS 2021: 126-130 - [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]Raoul D'Alessio, Alberto Laino, Teresa Angela Trunfio, Roberto Deli:
A Machine Learning approach to study soft-tissue facial characteristics as indicators of woman attractiveness. ICMHI 2021: 22-25 - [c4]Raoul D'Alessio, Alberto Laino, Teresa Angela Trunfio, Roberto Deli:
Measure and comparison of facial attractiveness indices through photogrammetry and statistical analysis. ICMHI 2021: 26-31 - [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]Teresa Angela Trunfio, Alfonso Maria Ponsiglione, Antonietta Ferrara, Anna Borrelli, Paolo Gargiulo:
A comparison of different regression and classification methods for predicting the length of hospital stay after cesarean sections. ICMHI 2021: 63-67 - [c1]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
Coauthor Index
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last updated on 2024-11-08 20:28 CET by the dblp team
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