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Giovanni Improta

Gianni Improta

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2020 – today

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2024
[c42]
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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
[c41]
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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
[j10]
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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)
[c40]
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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
[c39]
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Marta Rosaria Marino, Anna Borrelli, Giuseppe Bifulco, Maria Triassi, Giovanni Improta:
Machine learning algorithms to study the hospitalization after cesarean section: a multicenter analysis. ICMHI 2023: 164-168
[c38]
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Emma Montella, Marta Rosaria Marino, Giuseppe Longo, Ugo Trama, Alessandro Frangiosa, Alfonso Nardo, Maria Triassi, Giovanni Improta:
Implementation of a regression model to study the hospital stay of patients undergoing Laparoscopic Appendectomy: a multicenter study. ICMHI 2023: 176-181
[c37]
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Marta Rosaria Marino, Anna Borrelli, Maria Triassi, Giovanni Improta:
Study of hospitalization for retinal surgery using classification algorithms. ICMHI 2023: 198-202
2022
[j9]
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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)
[j8]
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  - journals/sensors/ArpaiaCBDIS22
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Pasquale Arpaia, Federica Crauso, Egidio De Benedetto, Luigi Duraccio, Giovanni Improta, Francesco Serino:
Soft Transducer for Patient's Vitals Telemonitoring with Deep Learning-Based Personalized Anomaly Detection. Sensors 22(2): 536 (2022)
[c36]
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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
[c35]
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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
[c34]
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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
[c33]
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Giovanni Improta, Vincenzo Bottino, Mara Morra, Mario Alessandro Russo, Rodolfo Nasti, Maria Triassi:
Patient Abandonment Rate Assessment in the Emergency Department of a Nursing Home Conventioned: The Case of Evangelical Hospital "Betania". BECB 2022: 392-400
[c32]
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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
[c31]
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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
[c30]
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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
[c29]
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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
[c28]
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Giovanni Improta, Maddalena Illario, Vincenzo De Luca, Giovanni Annuzzi, Guido Iaccarino, Maria Triassi:
A qualitative approach for the Health Technology Assessment of IT supported Type 2 Diabetes management tools. ICMHI 2022: 315-319
[c27]
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Carlo Ricciardi, Giuseppe Cesarelli, Alfonso Maria Ponsiglione, Gianmaria De Tommasi, Mario Cesarelli, Maria Romano, Giovanni Improta, Francesco Amato:
Combining simulation and machine learning for the management of healthcare systems. MetroXRAINE 2022: 335-339
2021
[c26]
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Pasquale Arpaia, Federica Crauso, Egidio De Benedetto, Luigi Duraccio, Giovanni Improta:
An Augmented Reality-Based Solution for Monitoring Patients Vitals in Surgical Procedures. AVR 2021: 406-415
[c25]
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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
[c24]
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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
[c23]
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Alfonso Maria Ponsiglione, Massimo Majolo, Giuseppe Longo, Giuseppe Russo, Maria Triassi, Eliana Raiola, Giovanni Improta:
Analysis of voluntary departures from the Emergency Department of the hospital AORN "A. Cardarelli". BECB 2021: 27:1-27:4
[c22]
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Giovanni Improta, Chiara De Lauri, Antonio Della Vecchia, Anna Borrelli, Giuseppe Russo, Maria Triassi:
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
[c21]
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Giovanni Improta, Ylenia Colella, Antonio Della Vecchia, Anna Borrelli, Giuseppe Russo, Maria Triassi:
Overcrowding in emergency department: a comparison between indexes. BECB 2021: 35:1-35:4
[c20]
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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
[c19]
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Massimo Majolo, Alfonso Maria Ponsiglione, Giuseppe Longo, Giuseppe Russo, Maria Triassi, Eliana Raiola, Giovanni Improta:
Studying length of stay in the Emergency Department of A.O.R.N. "Antonio Cardarelli" of Naples. ICBBS 2021: 144-147
[c18]
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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
[c17]
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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
[c16]
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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
[c15]
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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
2020
[j7]
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Carlo Ricciardi, Valeria Cantoni, Giovanni Improta, Luigi Iuppariello, Imma Latessa, Mario Cesarelli, Maria Triassi, Alberto Cuocolo:
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)
[j6]
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Carlo Ricciardi, Giovanni Improta, Francesco Amato, Giuseppe Cesarelli, Maria Romano:
Classifying the type of delivery from cardiotocographic signals: A machine learning approach. Comput. Methods Programs Biomed. 196: 105712 (2020)
[j5]
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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:
MRI Radiomics for the Prediction of Fuhrman Grade in Clear Cell Renal Cell Carcinoma: a Machine Learning Exploratory Study. J. Digit. Imaging 33(4): 879-887 (2020)
[c14]
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Leopoldo Angrisani, Pasquale Arpaia, Francesco Donnarumma, Antonio Esposito, Mirco Frosolone, Giovanni Improta, Nicola Moccaldi, Angela Natalizio, Marco Parvis:
Instrumentation for Motor Imagery-based Brain Computer Interfaces relying on dry electrodes: a functional analysis. I2MTC 2020: 1-6
[c13]
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Carlo Ricciardi, Marianna Amboni, Chiara De Santis, Gianluca Ricciardelli, Giovanni Improta, Giuseppe Cesarelli, Giovanni D'Addio, Paolo Barone:
Classifying patients affected by Parkinson's disease into freezers or non-freezers through machine learning. MeMeA 2020: 1-6
[c12]
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Carlo Ricciardi, Marianna Amboni, Chiara De Santis, Gianluca Ricciardelli, Giovanni Improta, Giovanni D'Addio, Sofia Cuoco, Marina Picillo, Paolo Barone, Mario Cesarelli:
Machine learning can detect the presence of Mild cognitive impairment in patients affected by Parkinson's Disease. MeMeA 2020: 1-6
[c11]
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Carlo Ricciardi, Luigi Iuppariello, Gianluca Ricciardelli, Marianna Amboni, Giuseppe Cesarelli, Giovanni Improta, Giovanni D'Addio, Giovanni Cannaviello, Mario Cesarelli:
A quantitative analysis of muscular co-activation on EMG signals in spastic patients treated with Botulinum toxin. MeMeA 2020: 1-6

2010 – 2019

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2019
[j4]
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Carlo Ricciardi, Marianna Amboni, Chiara De Santis, Giovanni Improta, Giampiero Volpe, Luigi Iuppariello, Gianluca Ricciardelli, Giovanni D'Addio, Carmine Vitale, Paolo Barone, Mario Cesarelli:
Using gait analysis' parameters to classify Parkinsonism: A data mining approach. Comput. Methods Programs Biomed. 180 (2019)
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Giovanni Improta, Giuseppe Converso, Teresa Murino, Mosè Gallo, Antonietta Perrone, Maria Romano:
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. 18(5): 1533-1550 (2019)
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Giovanni D'Addio, Leandro Donisi, Gaetano Pagano, Giovanni Improta, Arcangelo Biancardi, Mario Cesarelli:
Agreement between Opal and G-Walk Wearable Inertial Systems in Gait Analysis on Normal and Pathological Subjects. EMBC 2019: 3286-3289
[c9]
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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:
Skull base reconstruction after endoscopic endonasal surgery: new strategies for raising the dam. MetroInd4.0&IoT 2019: 28-32
[c8]
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Pierpaolo Fucile, Ida Papallo, Giovanni Improta, Roberto De Santis, Antonio Gloria, Ilaria Onofrio, Vincenzo D'Antò, Saverio Maietta, Teresa Russo:
Reverse Engineering and Additive Manufacturing towards the design of 3D advanced scaffolds for hard tissue regeneration. MetroInd4.0&IoT 2019: 33-37
[c7]
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Nicola Rocco, Maurizio Bruno Nava, Giuseppe Catanuto, Antonello Accurso, Massimo Martorelli, Olimpia Oliviero, Giovanni Improta, Ida Papallo, Roberto De Santis, Antonio Gloria, Domenico Speranza:
Additive manufacturing and tissue engineering to improve outcomes in breast reconstructive surgery. MetroInd4.0&IoT 2019: 38-42
2017
[b1]
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Giovanni Improta:
Dynamic Analytic Hierarchy Process: a new approach to technology assessment to support healthcare processes. University of Naples Federico II, Italy, 2017
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Stefania Santini, Antonio Pescapè, Antonio Saverio Valente, V. Abate, Giovanni Improta, Maria Triassi, P. Ricchi, A. Filosa:
Using fuzzy logic for improving clinical daily-care of β-thalassemia patients. FUZZ-IEEE 2017: 1-6
[i1]
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Francesco Guarino, Mario Alessandro Russo, Monica Franzese, Dario Righelli, Giovanni Improta, Claudia Angelini, Maria Triassi:
A novel shiny platform for the geo-spatial analysis of large amount of patient data. PeerJ Prepr. 5: e3335 (2017)
2016
[j2]
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Maria Romano, Luigi Iuppariello, Alfonso Maria Ponsiglione, Giovanni Improta, Paolo Bifulco, Mario Cesarelli:
Frequency and Time Domain Analysis of Foetal Heart Rate Variability with Traditional Indexes: A Critical Survey. Comput. Math. Methods Medicine 2016: 9585431:1-9585431:12 (2016)
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Maria Romano, Paolo Bifulco, Mariano Ruffo, Giovanni Improta, Fabrizio Clemente, Mario Cesarelli:
Software for computerised analysis of cardiotocographic traces. Comput. Methods Programs Biomed. 124: 121-137 (2016)
2015
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  - conf/somet/ConversoIMS15
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Giuseppe Converso, Giovanni Improta, Manuela Mignano, Liberatina Carmela Santillo:
A Simulation Approach for Agile Production Logic Implementation in a Hospital Emergency Unit. SoMeT 2015: 623-634
2014
[c4]
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  - conf/memea/RomanoDCPIC14
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Maria Romano, Giovanni D'Addio, Fabrizio Clemente, Alfonso Maria Ponsiglione, Gianni Improta, Mario Cesarelli:
Symbolic dynamic and frequency analysis in foetal monitoring. MeMeA 2014: 545-549
2013
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  - conf/efmi-stc/CesarelliRBID13
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Mario Cesarelli, Maria Romano, Paolo Bifulco, Giovanni Improta, Giovanni D'Addio:
Prognostic Decision Support Using Symbolic Dynamics in CTG Monitoring. EFMI-STC 2013: 140-144
2012
[c2]
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  - conf/ieaaie/RevetriaACGRMIF12
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Roberto Revetria, Alessandro Catania A., Lucia Cassettari, Guido Guizzi, Elpidio Romano, Teresa Murino, Giovanni Improta, Hamido Fujita:
Improving Healthcare Using Cognitive Computing Based Software: An Application in Emergency Situation. IEA/AIE 2012: 477-490
[c1]
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Mario Cesarelli, Maria Romano, Paolo Bifulco, Giovanni Improta, Gianni D'Addio:
An Application of Symbolic Dynamics for FHRV assessment. MIE 2012: 123-127
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Giovanni Improta, Maria Triassi, Guido Guizzi, Liberatina Carmela Santillo, Roberto Revetria, Alessandro Catania A., Lucia Cassettari:
An Innovative Contribution to Health Technology Assessment. Modern Advances in Intelligent Systems and Tools 2012: 127-131

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