Giovanni Improta

57 papers B 1C 2Journal 11Unranked 41

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Machine learning performance comparison to calculate Length of Stay. ICMHI Arianna Scala, Ida Santalucia, Paolo Montuori, Giovanni Improta
2025	—	`conf`	Machine learning techniques are compared to evaluate their prediction performance for the length of stay (LOS) in patients undergoing appendicitis surgery. ICMHI Andrea Fidecicchi, Ida Santalucia, Maria Triassi, Giovanni Improta
2025	—	`conf`	Predicting Length of Stay in Appendectomy Patients: A Machine Learning Approach. ICMHI Andrea Fidecicchi, Ida Santalucia, Antonella Toscano, Antonio D'Amore, Carlo Bernardo, Giovanni Improta
2024	—	`conf`	Applying the DMAIC Cycle and Machine Learning to Examine COVID-19's Effects on Emergency Department-LOS. ICMHI Arianna Scala, Teresa Angela Trunfio, Giovanni Improta
2024	—	`conf`	The analysis of COVID-19's Effects on Emergency Department-LOS using LSS approach and Machine Learning. ICMHI Teresa Angela Trunfio, Arianna Scala, Giovanni Improta
2023	—	`conf`	COVID-19 in Eye Surgery: The Case of a University Hospital. ICIMTH Marta Rosaria Marino, Ciro Costaiola, Paola Magri, Giuseppe Longo, Maria Triassi, Giovanni Improta
2023	J	`jnl`	Evaluation of different machine learning algorithms for predicting the length of stay in the emergency departments: a single-centre study. Frontiers Digit. Health Carlo Ricciardi, Marta Rosaria Marino, Teresa Angela Trunfio, Massimo Majolo, Maria Romano, Francesco Amato, Giovanni Improta
2023	—	`conf`	Implementation of a regression model to study the hospital stay of patients undergoing Laparoscopic Appendectomy: a multicenter study. ICMHI Emma Montella, Marta Rosaria Marino, Giuseppe Longo, Ugo Trama, Alessandro Frangiosa, Alfonso Nardo, Maria Triassi, Giovanni Improta
2023	—	`conf`	Machine learning algorithms to study the hospitalization after cesarean section: a multicenter analysis. ICMHI Marta Rosaria Marino, Anna Borrelli, Giuseppe Bifulco, Maria Triassi, Giovanni Improta
2023	—	`conf`	Study of hospitalization for retinal surgery using classification algorithms. ICMHI Marta Rosaria Marino, Anna Borrelli, Maria Triassi, Giovanni Improta
2022	—	`conf`	A qualitative approach for the Health Technology Assessment of IT supported Type 2 Diabetes management tools. ICMHI Giovanni Improta, Maddalena Illario, Vincenzo De Luca, Giovanni Annuzzi, Guido Iaccarino, Maria Triassi
2022	—	`conf`	Combining simulation and machine learning for the management of healthcare systems. MetroXRAINE Carlo Ricciardi, Giuseppe Cesarelli, Alfonso Maria Ponsiglione, Gianmaria De Tommasi, Mario Cesarelli, Maria Romano, Giovanni Improta, Francesco Amato
2022	—	`conf`	Data Analysis to Study the Prolonged ED-LOS: The Case of Evangelical Hospital "Betania". BECB Giovanni Improta, Vincenzo Bottino, Antonio Sciambra, Mario Alessandro Russo, Maria Anna Stingone, Maria Triassi
2022	—	`conf`	EDWIN and NEDOCS Indices to Study Patient Flow in Emergency Department. BECB Giovanni Improta, Vincenzo Bottino, Elvira Baiano, Mario Alessandro Russo, Maria Anna Stingone, Maria Triassi
2022	—	`conf`	Implementation of DMAIC Cycle to Study the Impact of COVID-19 on Emergency Department-LOS. BECB Giovanni Improta, Vincenzo Bottino, Maria Anna Stingone, Mario Alessandro Russo, Loredana Setaro, Maria Triassi
2022	—	`conf`	Machine Learning Algorithms to Predict Healthcare Associated Infections in a Neonatal Intensive Care Unit. BECB Emma Montella, Marta Rosaria Marino, Arianna Scala, Teresa Angela Trunfio, Maria Triassi, Giovanni Improta
2022	—	`conf`	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 Rossella Alfano, Ilaria Loperto, Arianna Scala, Teresa Angela Trunfio, Andrea Lombardi, Anna Borrelli, Maria Triassi, Giovanni Improta
2022	J	`jnl`	Multiple regression model to analyze the total LOS for patients undergoing laparoscopic appendectomy. BMC Medical Informatics Decis. Mak. Teresa Angela Trunfio, Arianna Scala, Cristiana Giglio, Giovanni Rossi, Anna Borrelli, Maria Romano, Giovanni Improta
2022	—	`conf`	Patient Abandonment Rate Assessment in the Emergency Department of a Nursing Home Conventioned: The Case of Evangelical Hospital "Betania". BECB Giovanni Improta, Vincenzo Bottino, Mara Morra, Mario Alessandro Russo, Rodolfo Nasti, Maria Triassi
2022	—	`conf`	Predictive Models for Studying Emergency Department Abandonment Rates: A Bicentric Study. BECB Alfonso Maria Ponsiglione, Marta Rosaria Marino, Eliana Raiola, Giuseppe Russo, Anna Borrelli, Giovanni Improta
2022	J	`jnl`	Soft Transducer for Patient's Vitals Telemonitoring with Deep Learning-Based Personalized Anomaly Detection. Sensors Pasquale Arpaia, Federica Crauso, Egidio De Benedetto, Luigi Duraccio, Giovanni Improta, Francesco Serino
2022	—	`conf`	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 Arianna Scala, Teresa Angela Trunfio, Ilaria Loperto, Rossella Alfano, Andrea Lombardi, Anna Borrelli, Maria Triassi, Giovanni Improta
2021	—	`conf`	A Lean Six Sigma approach to improve the Emergency Department of University Hospital "San Giovanni di Dio e Ruggi d'Aragona". BECB Giovanni Improta, Chiara De Lauri, Antonio Della Vecchia, Anna Borrelli, Giuseppe Russo, Maria Triassi
2021	—	`conf`	An Augmented Reality-Based Solution for Monitoring Patients Vitals in Surgical Procedures. AVR Pasquale Arpaia, Federica Crauso, Egidio De Benedetto, Luigi Duraccio, Giovanni Improta
2021	—	`conf`	Analysis of voluntary departures from the Emergency Department of the hospital AORN "A. Cardarelli". BECB Alfonso Maria Ponsiglione, Massimo Majolo, Giuseppe Longo, Giuseppe Russo, Maria Triassi, Eliana Raiola, Giovanni Improta
2021	—	`conf`	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 Teresa Angela Trunfio, Arianna Scala, Anna Borrelli, Michele Sparano, Maria Triassi, Giovanni Improta
2021	—	`conf`	Appropriate admission in Covid-19 era: the case study of the C.O.U. Neurology and Stroke Unit. BECB Ilaria Loperto, Arianna Scala, Rossella Alfano, Teresa Angela Trunfio, Cristiana Giglio, Giovanni Rossi, Anna Borrelli, Maria Triassi, Giovanni Improta
2021	—	`conf`	Assessment of proteinuria level in nephrology patients using a machine learning approach. ICMHI Arianna Scala, Ilaria Loperto, Rosa Carrano, Stefano Federico, Maria Triassi, Giovanni Improta
2021	—	`conf`	Investigation of factors increasing waiting times in the Emergency Departments of "San Giovanni di Dio e Ruggi d'Aragona" Hospital through machine learning. BECB Cristiana Giglio, Chiara De Lauri, Antonio Della Vecchia, Anna Borrelli, Giuseppe Russo, Maria Triassi, Giovanni Improta
2021	—	`conf`	Modelling the hospital length of stay for patients undergoing laparoscopic cholecystectomy through a multiple regression model. ICMHI Arianna Scala, Teresa Angela Trunfio, Anna Borrelli, Giuseppe Ferrucci, Maria Triassi, Giovanni Improta
2021	—	`conf`	Overcrowding in emergency department: a comparison between indexes. BECB Giovanni Improta, Ylenia Colella, Antonio Della Vecchia, Anna Borrelli, Giuseppe Russo, Maria Triassi
2021	—	`conf`	Studying length of stay in the Emergency Department of A.O.R.N. "Antonio Cardarelli" of Naples. ICBBS Massimo Majolo, Alfonso Maria Ponsiglione, Giuseppe Longo, Giuseppe Russo, Maria Triassi, Eliana Raiola, Giovanni Improta
2021	—	`conf`	Use of machine learning to predict abandonment rates in an emergency department. ICBBS Giovanni Improta, Ylenia Colella, Giovanni Rossi, Anna Borrelli, Giuseppe Russo, Maria Triassi
2021	—	`conf`	Use of regression models to predict glomerular filtration rate in kidney transplanted patients. BECB Ilaria Loperto, Arianna Scala, Lucia Rossano, Rosa Carrano, Stefano Federico, Maria Triassi, Giovanni Improta
2020	—	`conf`	A quantitative analysis of muscular co-activation on EMG signals in spastic patients treated with Botulinum toxin. MeMeA Carlo Ricciardi, Luigi Iuppariello, Gianluca Ricciardelli, Marianna Amboni, Giuseppe Cesarelli, Giovanni Improta, Giovanni D'Addio, Giovanni Cannaviello, Mario Cesarelli
2020	J	`jnl`	Application of data mining in a cohort of Italian subjects undergoing myocardial perfusion imaging at an academic medical center. Comput. Methods Programs Biomed. Carlo Ricciardi, Valeria Cantoni, Giovanni Improta, Luigi Iuppariello, Imma Latessa, Mario Cesarelli, Maria Triassi, Alberto Cuocolo
2020	—	`conf`	Classifying patients affected by Parkinson's disease into freezers or non-freezers through machine learning. MeMeA Carlo Ricciardi, Marianna Amboni, Chiara De Santis, Gianluca Ricciardelli, Giovanni Improta, Giuseppe Cesarelli, Giovanni D'Addio, Paolo Barone
2020	J	`jnl`	Classifying the type of delivery from cardiotocographic signals: A machine learning approach. Comput. Methods Programs Biomed. Carlo Ricciardi, Giovanni Improta, Francesco Amato, Giuseppe Cesarelli, Maria Romano
2020	—	`conf`	Instrumentation for Motor Imagery-based Brain Computer Interfaces relying on dry electrodes: a functional analysis. I2MTC Leopoldo Angrisani, Pasquale Arpaia, Francesco Donnarumma, Antonio Esposito, Mirco Frosolone, Giovanni Improta, Nicola Moccaldi, Angela Natalizio, Marco Parvis
2020	J	`jnl`	MRI Radiomics for the Prediction of Fuhrman Grade in Clear Cell Renal Cell Carcinoma: a Machine Learning Exploratory Study. J. Digit. Imaging Arnaldo Stanzione, Carlo Ricciardi, Renato Cuocolo, Valeria Romeo, Jessica Petrone, Michela Sarnataro, Pier Paolo Mainenti, Giovanni Improta, Filippo De Rosa, Luigi Insabato, Arturo Brunetti, Simone Maurea
2020	—	`conf`	Machine learning can detect the presence of Mild cognitive impairment in patients affected by Parkinson's Disease. MeMeA Carlo Ricciardi, Marianna Amboni, Chiara De Santis, Gianluca Ricciardelli, Giovanni Improta, Giovanni D'Addio, Sofia Cuoco, Marina Picillo, Paolo Barone, Mario Cesarelli
2019	—	`conf`	Additive manufacturing and tissue engineering to improve outcomes in breast reconstructive surgery. MetroInd4.0&IoT Nicola Rocco, Maurizio Bruno Nava, Giuseppe Catanuto, Antonello Accurso, Massimo Martorelli, Olimpia Oliviero, Giovanni Improta, Ida Papallo, Roberto De Santis, Antonio Gloria, Domenico Speranza
2019	—	`conf`	Agreement between Opal and G-Walk Wearable Inertial Systems in Gait Analysis on Normal and Pathological Subjects. EMBC Giovanni D'Addio, Leandro Donisi, Gaetano Pagano, Giovanni Improta, Arcangelo Biancardi, Mario Cesarelli
2019	J	`jnl`	Analytic Hierarchy Process (AHP) in Dynamic Configuration as a Tool for Health Technology Assessment (HTA): The Case of Biosensing Optoelectronics in Oncology. Int. J. Inf. Technol. Decis. Mak. Giovanni Improta, Giuseppe Converso, Teresa Murino, Mosè Gallo, Antonietta Perrone, Maria Romano
2019	—	`conf`	Reverse Engineering and Additive Manufacturing towards the design of 3D advanced scaffolds for hard tissue regeneration. MetroInd4.0&IoT Pierpaolo Fucile, Ida Papallo, Giovanni Improta, Roberto De Santis, Antonio Gloria, Ilaria Onofrio, Vincenzo D'Antò, Saverio Maietta, Teresa Russo
2019	—	`conf`	Skull base reconstruction after endoscopic endonasal surgery: new strategies for raising the dam. MetroInd4.0&IoT Domenico Solari, Luigi M. Cavallo, Paolo Cappabianca, Ilaria Onofrio, Ida Papallo, Arturo Brunetti, Lorenzo Ugga, Renato Cuocolo, Antonio Gloria, Giovanni Improta, Massimo Martorelli, Teresa Russo
2019	J	`jnl`	Using gait analysis' parameters to classify Parkinsonism: A data mining approach. Comput. Methods Programs Biomed. Carlo Ricciardi, Marianna Amboni, Chiara De Santis, Giovanni Improta, Giampiero Volpe, Luigi Iuppariello, Gianluca Ricciardelli, Giovanni D'Addio, Carmine Vitale, Paolo Barone, Mario Cesarelli
2017	J	`jnl`	A novel shiny platform for the geo-spatial analysis of large amount of patient data. PeerJ Prepr. Francesco Guarino, Mario Alessandro Russo, Monica Franzese, Dario Righelli, Giovanni Improta, Claudia Angelini, Maria Triassi
2017	—	`—`	Dynamic Analytic Hierarchy Process: a new approach to technology assessment to support healthcare processes. Giovanni Improta
2017	B	`conf`	Using fuzzy logic for improving clinical daily-care of β-thalassemia patients. FUZZ-IEEE Stefania Santini, Antonio Pescapè, Antonio Saverio Valente, V. Abate, Giovanni Improta, Maria Triassi, P. Ricchi, A. Filosa
2016	J	`jnl`	Frequency and Time Domain Analysis of Foetal Heart Rate Variability with Traditional Indexes: A Critical Survey. Comput. Math. Methods Medicine Maria Romano, Luigi Iuppariello, Alfonso Maria Ponsiglione, Giovanni Improta, Paolo Bifulco, Mario Cesarelli
2016	J	`jnl`	Software for computerised analysis of cardiotocographic traces. Comput. Methods Programs Biomed. Maria Romano, Paolo Bifulco, Mariano Ruffo, Giovanni Improta, Fabrizio Clemente, Mario Cesarelli
2015	C	`conf`	A Simulation Approach for Agile Production Logic Implementation in a Hospital Emergency Unit. SoMeT Giuseppe Converso, Giovanni Improta, Manuela Mignano, Liberatina Carmela Santillo
2013	—	`conf`	Prognostic Decision Support Using Symbolic Dynamics in CTG Monitoring. EFMI-STC Mario Cesarelli, Maria Romano, Paolo Bifulco, Giovanni Improta, Giovanni D'Addio
2012	—	`conf`	An Application of Symbolic Dynamics for FHRV assessment. MIE Mario Cesarelli, Maria Romano, Paolo Bifulco, Giovanni Improta, Gianni D'Addio
2012	—	`ch.`	An Innovative Contribution to Health Technology Assessment. Modern Advances in Intelligent Systems and Tools Giovanni Improta, Maria Triassi, Guido Guizzi, Liberatina Carmela Santillo, Roberto Revetria, Alessandro Catania, Lucia Cassettari
2012	C	`conf`	Improving Healthcare Using Cognitive Computing Based Software: An Application in Emergency Situation. IEA/AIE Roberto Revetria, Alessandro Catania, Lucia Cassettari, Guido Guizzi, Elpidio Romano, Teresa Murino, Giovanni Improta, Hamido Fujita