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Maria Triassi
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2020 – today
- 2024
- [c77]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 - [c76]Gennaro Volpe, Marco De Fazio, Valentina Galdo, Elena Fossi, Alessandro Bozza, Maria Triassi, Ida Santalucia, Arianna Scala:
Analysis of requests for home care in an Italian Local Health Authority. ICBEA 2024: 203-207 - 2023
- [c75]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 - [c74]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 - [c73]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 - [c72]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 - [c71]Gaetano D'Onofrio, Antonio D'Amore
Prediction of Hospital Length Stay for Patients Undergoing Mastectomy. ICIMTH 2023: 261-264 - [c70]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 - [c69]Antonio D'Amore
Predicting In-Hospital Mortality During the COVID-19 Pandemic in Patients with Heart Failure: A Single-Center Exploratory Study. ICIMTH 2023: 487-490 - [c68]Antonio D'Amore
Predicting Length of Stay in Colorectal Cancer Patients: A Monocentric Study in Italy. ICMHI 2023: 155-158 - [c67]Marta Rosaria Marino
Machine learning algorithms to study the hospitalization after cesarean section: a multicenter analysis. ICMHI 2023: 164-168 - [c66]Emma Montella
Implementation of a regression model to study the hospital stay of patients undergoing Laparoscopic Appendectomy: a multicenter study. ICMHI 2023: 176-181 - [c65]Antonio D'Amore
Predicting Post-Operative Length of Stay after Robotic Urologic Surgery from Hospital Stay Characteristics: A Monocentric Study. ICMHI 2023: 188-191 - [c64]Marta Rosaria Marino
Study of hospitalization for retinal surgery using classification algorithms. ICMHI 2023: 198-202 - 2022
- [c63]Emma Montella, Marta Rosaria Marino, Miriam Rita Castorina, Sara Ranucci
The Effect of CoViD-19 Pandemic on the Hospitalization of a Department of Oncology of an Italian Hospital. BECB 2022: 332-339 - [c62]Giovanni Improta, Vincenzo Bottino, Elvira Baiano, Mario Alessandro Russo, Maria Anna Stingone, Maria Triassi:
EDWIN and NEDOCS Indices to Study Patient Flow in Emergency Department. BECB 2022: 340-347 - [c61]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 - [c60]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 - [c59]Giovanni Improta, Vincenzo Bottino, Maria Anna Stingone, Mario Alessandro Russo, Loredana Setaro, Maria Triassi:
Implementation of DMAIC Cycle to Study the Impact of COVID-19 on Emergency Department-LOS. BECB 2022: 365-374 - [c58]Arianna Scala
Machine Learning Algorithms to Predict LOS in Patients Undergoing Heart Bypass Surgery: A Bicentric Study. BECB 2022: 375-383 - [c57]Giovanni Improta, Vincenzo Bottino, Antonio Sciambra, Mario Alessandro Russo, Maria Anna Stingone, Maria Triassi:
Data Analysis to Study the Prolonged ED-LOS: The Case of Evangelical Hospital "Betania". BECB 2022: 384-391 - [c56]Giovanni Improta, Vincenzo Bottino, Mara Morra, Mario Alessandro Russo, Rodolfo Nasti
Patient Abandonment Rate Assessment in the Emergency Department of a Nursing Home Conventioned: The Case of Evangelical Hospital "Betania". BECB 2022: 392-400 - [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, Arianna Scala
Machine Learning Algorithms to Predict Healthcare Associated Infections in a Neonatal Intensive Care Unit. BECB 2022: 420-427 - [c52]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 - [c51]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 - [c50]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 - [c49]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 - [c48]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 - [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]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 - [c45]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 - [c44]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 - [c43]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 - [c42]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 - [c41]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 - [c40]Arianna Scala
How has COVID-19 Changed the Activities of Plastic Surgery? A Bicentric Study. BECB 2022: 545-551 - [c39]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 - [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]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 - [c36]Alfonso Maria Ponsiglione, Angelo Rosa
Sustaining Continuous Improvement of a Higher Health Education Service Through Analytical Methodologies for Determining Customer Satisfaction. ELEC 2022: 246-257 - [c35]Marta Rosaria Marino
A machine learning approach to predict the hospital length of stay after kidney surgery. ICBBS 2022: 54-58 - [c34]Marta Rosaria Marino
Study of coronary artery bypass grafting admission in Covid-19 era: a bicentric study. ICBBS 2022: 110-114 - [c33]Marta Rosaria Marino
Analysis of the impact of COVID-19 on the organization of liver transplantation. ICBBS 2022: 134-137 - [c32]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 - [c31]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 - [c30]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 - [c29]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 - [c28]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 - [c27]Giovanni Improta
A qualitative approach for the Health Technology Assessment of IT supported Type 2 Diabetes management tools. ICMHI 2022: 315-319 - 2021
- [c26]Ilaria Loperto, Arianna Scala, Lucia Rossano, Rosa Carrano
Use of regression models to predict glomerular filtration rate in kidney transplanted patients. BECB 2021: 25:1-25:4 - [c25]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 - [c24]Alfonso Maria Ponsiglione
Analysis of voluntary departures from the Emergency Department of the hospital AORN "A. Cardarelli". BECB 2021: 27:1-27:4 - [c23]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 - [c22]Giovanni Improta
Overcrowding in emergency department: a comparison between indexes. BECB 2021: 35:1-35:4 - [c21]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 - [c20]Emma Montella
Investigation of the risk of surgical infections at the "Federico II" University Hospital by regression analysis using the Firth method. BECB 2021: 40:1-40:4 - [c19]Emma Montella
Healthcare Associated Infections in the Neonatal Intensive Care Unit of the "Federico II" University Hospital: Statistical Analysis and Study of Risk Factors. BECB 2021: 41:1-41:4 - [c18]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 - [c17]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 - [c16]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 - [c15]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 - [c14]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 - [c13]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 - [c12]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 - [c11]Emma Montella
A study of healthcare associated infections in the Intensive Care Unit of "Federico II" University Hospital through Logistic Regression. ICBBS 2021: 126-130 - [c10]Emma Montella
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 - [c9]Massimo Majolo
Studying length of stay in the Emergency Department of A.O.R.N. "Antonio Cardarelli" of Naples. ICBBS 2021: 144-147 - [c8]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 - [c7]Ilaria Picone, Imma Latessa, Antonella Fiorillo
Predicting length of stay using regression and Machine Learning models in Intensive Care Unit: a pilot study. ICBET 2021: 52-58 - [c6]Arianna Scala, Ilaria Loperto, Rosa Carrano
Assessment of proteinuria level in nephrology patients using a machine learning approach. ICMHI 2021: 13-16 - [c5]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 - [c4]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 - [c3]Vincenzo De Luca
Satisfaction, Self-management and Usability: Assessment of Two Novel IT Solutions for Type 2 Diabetes Patients' Empowerment. ICT4AWE 2021: 130-136 - 2020
- [j2]Carlo Ricciardi
Application of data mining in a cohort of Italian subjects undergoing myocardial perfusion imaging at an academic medical center. Comput. Methods Programs Biomed. 189: 105343 (2020)
2010 – 2019
- 2019
- [c2]Vincenzo De Luca
Developing a Digital Environment for the Management of Chronic Conditions: The ProEmpower Experience of a Horizon 2020 PCP for Type 2 Diabetes. ICT4AWE (Revised Selected Papers) 2019: 1-15 - 2017
- [c1]Stefania Santini, Antonio Pescapè, Antonio Saverio Valente, V. Abate, Giovanni Improta
Using fuzzy logic for improving clinical daily-care of β-thalassemia patients. FUZZ-IEEE 2017: 1-6 - [i1]Francesco Guarino
A novel shiny platform for the geo-spatial analysis of large amount of patient data. PeerJ Prepr. 5: e3335 (2017) - 2015
- [j1]Rossana Castaldo
Acute mental stress assessment via short term HRV analysis in healthy adults: A systematic review with meta-analysis. Biomed. Signal Process. Control. 18: 370-377 (2015) - 2012
- [p1]Giovanni Improta, Maria Triassi, Guido Guizzi, Liberatina Carmela Santillo
An Innovative Contribution to Health Technology Assessment. Modern Advances in Intelligent Systems and Tools 2012: 127-131
Coauthor Index
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