Improving Healthcare Using Cognitive Computing Based Software: An Application in Emergency Situation. - Roberto Revetria; Alessandro Catania A.; Lucia Cassettari; Guido Guizzi; Elpidio Romano; Teresa Murino; Giovanni Improta; Hamido Fujita (IEA/AIE, 2012)

An Application of Symbolic Dynamics for FHRV assessment. - Mario Cesarelli; Maria Romano; Paolo Bifulco; Giovanni Improta; Gianni D'Addio (MIE, 2012)

An Innovative Contribution to Health Technology Assessment. - Giovanni Improta; Maria Triassi; Guido Guizzi; Liberatina Carmela Santillo; Roberto Revetria; Alessandro Catania A.; Lucia Cassettari (Modern Advances in Intelligent Systems and Tools, 2012)

Prognostic Decision Support Using Symbolic Dynamics in CTG Monitoring. - Mario Cesarelli; Maria Romano; Paolo Bifulco; Giovanni Improta; Giovanni D'Addio (EFMI-STC, 2013)

Symbolic dynamic and frequency analysis in foetal monitoring. - Maria Romano; Giovanni D'Addio; Fabrizio Clemente; Alfonso Maria Ponsiglione; Gianni Improta; Mario Cesarelli (MeMeA, 2014)

A Simulation Approach for Agile Production Logic Implementation in a Hospital Emergency Unit. - Giuseppe Converso; Giovanni Improta; Manuela Mignano; Liberatina Carmela Santillo (SoMeT, 2015)

Frequency and Time Domain Analysis of Foetal Heart Rate Variability with Traditional Indexes: A Critical Survey. - Maria Romano; Luigi Iuppariello; Alfonso Maria Ponsiglione; Giovanni Improta; Paolo Bifulco; Mario Cesarelli (Comput. Math. Methods Medicine, 2016)

Software for computerised analysis of cardiotocographic traces. - Maria Romano; Paolo Bifulco; Mariano Ruffo; Giovanni Improta; Fabrizio Clemente; Mario Cesarelli (Comput. Methods Programs Biomed., 2016)

Using fuzzy logic for improving clinical daily-care of β-thalassemia patients. - Stefania Santini; Antonio Pescapè; Antonio Saverio Valente; V. Abate; Giovanni Improta; Maria Triassi; P. Ricchi; A. Filosa (FUZZ-IEEE, 2017)

A novel shiny platform for the geo-spatial analysis of large amount of patient data. - Francesco Guarino; Mario Alessandro Russo; Monica Franzese; Dario Righelli; Giovanni Improta; Claudia Angelini; Maria Triassi (PeerJ Prepr., 2017)

Dynamic Analytic Hierarchy Process: a new approach to technology assessment to support healthcare processes. - Giovanni Improta (2017)

Agreement between Opal and G-Walk Wearable Inertial Systems in Gait Analysis on Normal and Pathological Subjects. - Giovanni D'Addio; Leandro Donisi; Gaetano Pagano; Giovanni Improta; Arcangelo Biancardi; Mario Cesarelli (EMBC, 2019)

Reverse Engineering and Additive Manufacturing towards the design of 3D advanced scaffolds for hard tissue regeneration. - Pierpaolo Fucile; Ida Papallo; Giovanni Improta; Roberto De Santis; Antonio Gloria; Ilaria Onofrio; Vincenzo D'Antò; Saverio Maietta; Teresa Russo (MetroInd4.0&IoT, 2019)

Additive manufacturing and tissue engineering to improve outcomes in breast reconstructive surgery. - Nicola Rocco; Maurizio Bruno Nava; Giuseppe Catanuto; Antonello Accurso; Massimo Martorelli; Olimpia Oliviero; Giovanni Improta; Ida Papallo; Roberto De Santis; Antonio Gloria; Domenico Speranza (MetroInd4.0&IoT, 2019)

Skull base reconstruction after endoscopic endonasal surgery: new strategies for raising the dam. - 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 (MetroInd4.0&IoT, 2019)

Using gait analysis' parameters to classify Parkinsonism: A data mining approach. - Carlo Ricciardi; Marianna Amboni; Chiara De Santis; Giovanni Improta; Giampiero Volpe; Luigi Iuppariello; Gianluca Ricciardelli; Giovanni D'Addio; Carmine Vitale; Paolo Barone; Mario Cesarelli (Comput. Methods Programs Biomed., 2019)

Analytic Hierarchy Process (AHP) in Dynamic Configuration as a Tool for Health Technology Assessment (HTA): The Case of Biosensing Optoelectronics in Oncology. - Giovanni Improta; Giuseppe Converso; Teresa Murino; Mosè Gallo; Antonietta Perrone; Maria Romano (Int. J. Inf. Technol. Decis. Mak., 2019)

Instrumentation for Motor Imagery-based Brain Computer Interfaces relying on dry electrodes: a functional analysis. - Leopoldo Angrisani; Pasquale Arpaia; Francesco Donnarumma; Antonio Esposito 002; Mirco Frosolone; Giovanni Improta; Nicola Moccaldi; Angela Natalizio; Marco Parvis (I2MTC, 2020)

Classifying patients affected by Parkinson's disease into freezers or non-freezers through machine learning. - Carlo Ricciardi; Marianna Amboni; Chiara De Santis; Gianluca Ricciardelli; Giovanni Improta; Giuseppe Cesarelli; Giovanni D'Addio; Paolo Barone (MeMeA, 2020)

Machine learning can detect the presence of Mild cognitive impairment in patients affected by Parkinson's Disease. - Carlo Ricciardi; Marianna Amboni; Chiara De Santis; Gianluca Ricciardelli; Giovanni Improta; Giovanni D'Addio; Sofia Cuoco; Marina Picillo; Paolo Barone; Mario Cesarelli (MeMeA, 2020)

A quantitative analysis of muscular co-activation on EMG signals in spastic patients treated with Botulinum toxin. - Carlo Ricciardi; Luigi Iuppariello; Gianluca Ricciardelli; Marianna Amboni; Giuseppe Cesarelli; Giovanni Improta; Giovanni D'Addio; Giovanni Cannaviello; Mario Cesarelli (MeMeA, 2020)

Application of data mining in a cohort of Italian subjects undergoing myocardial perfusion imaging at an academic medical center. - Carlo Ricciardi; Valeria Cantoni; Giovanni Improta; Luigi Iuppariello; Imma Latessa; Mario Cesarelli; Maria Triassi; Alberto Cuocolo (Comput. Methods Programs Biomed., 2020)

Classifying the type of delivery from cardiotocographic signals: A machine learning approach. - Carlo Ricciardi; Giovanni Improta; Francesco Amato 001; Giuseppe Cesarelli; Maria Romano (Comput. Methods Programs Biomed., 2020)

MRI Radiomics for the Prediction of Fuhrman Grade in Clear Cell Renal Cell Carcinoma: a Machine Learning Exploratory Study. - 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 (J. Digit. Imaging, 2020)

An Augmented Reality-Based Solution for Monitoring Patients Vitals in Surgical Procedures. - Pasquale Arpaia; Federica Crauso; Egidio De Benedetto; Luigi Duraccio; Giovanni Improta (AVR, 2021)

Investigation of factors increasing waiting times in the Emergency Departments of "San Giovanni di Dio e Ruggi d'Aragona" Hospital through machine learning. - Cristiana Giglio; Chiara De Lauri; Antonio Della Vecchia; Anna Borrelli; Giuseppe Russo; Maria Triassi; Giovanni Improta (BECB, 2021)

Overcrowding in emergency department: a comparison between indexes. - Giovanni Improta; Ylenia Colella; Antonio Della Vecchia; Anna Borrelli; Giuseppe Russo; Maria Triassi (BECB, 2021)

A Lean Six Sigma approach to improve the Emergency Department of University Hospital "San Giovanni di Dio e Ruggi d'Aragona". - Giovanni Improta; Chiara De Lauri; Antonio Della Vecchia; Anna Borrelli; Giuseppe Russo; Maria Triassi (BECB, 2021)

Appropriate admission in Covid-19 era: the case study of the C.O.U. Neurology and Stroke Unit. - Ilaria Loperto; Arianna Scala; Rossella Alfano; Teresa Angela Trunfio; Cristiana Giglio; Giovanni Rossi; Anna Borrelli; Maria Triassi; Giovanni Improta (BECB, 2021)

Use of regression models to predict glomerular filtration rate in kidney transplanted patients. - Ilaria Loperto; Arianna Scala; Lucia Rossano; Rosa Carrano; Stefano Federico; Maria Triassi; Giovanni Improta (BECB, 2021)

Analysis of voluntary departures from the Emergency Department of the hospital AORN "A. Cardarelli". - Alfonso Maria Ponsiglione; Massimo Majolo; Giuseppe Longo; Giuseppe Russo; Maria Triassi; Eliana Raiola; Giovanni Improta (BECB, 2021)

Use of machine learning to predict abandonment rates in an emergency department. - Giovanni Improta; Ylenia Colella; Giovanni Rossi; Anna Borrelli; Giuseppe Russo; Maria Triassi (ICBBS, 2021)

Studying length of stay in the Emergency Department of A.O.R.N. "Antonio Cardarelli" of Naples. - Massimo Majolo; Alfonso Maria Ponsiglione; Giuseppe Longo; Giuseppe Russo; Maria Triassi; Eliana Raiola; Giovanni Improta (ICBBS, 2021)

Assessment of proteinuria level in nephrology patients using a machine learning approach. - Arianna Scala; Ilaria Loperto; Rosa Carrano; Stefano Federico; Maria Triassi; Giovanni Improta (ICMHI, 2021)

Modelling the hospital length of stay for patients undergoing laparoscopic cholecystectomy through a multiple regression model. - Arianna Scala; Teresa Angela Trunfio; Anna Borrelli; Giuseppe Ferrucci; Maria Triassi; Giovanni Improta (ICMHI, 2021)

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. - Teresa Angela Trunfio; Arianna Scala; Anna Borrelli; Michele Sparano; Maria Triassi; Giovanni Improta (ICMHI, 2021)

EDWIN and NEDOCS Indices to Study Patient Flow in Emergency Department. - Giovanni Improta; Vincenzo Bottino; Elvira Baiano; Mario Alessandro Russo; Maria Anna Stingone; Maria Triassi (BECB, 2022)

Patient Abandonment Rate Assessment in the Emergency Department of a Nursing Home Conventioned: The Case of Evangelical Hospital "Betania". - Giovanni Improta; Vincenzo Bottino; Mara Morra; Mario Alessandro Russo; Rodolfo Nasti; Maria Triassi (BECB, 2022)

Implementation of DMAIC Cycle to Study the Impact of COVID-19 on Emergency Department-LOS. - Giovanni Improta; Vincenzo Bottino; Maria Anna Stingone; Mario Alessandro Russo; Loredana Setaro; Maria Triassi (BECB, 2022)

Data Analysis to Study the Prolonged ED-LOS: The Case of Evangelical Hospital "Betania". - Giovanni Improta; Vincenzo Bottino; Antonio Sciambra; Mario Alessandro Russo; Maria Anna Stingone; Maria Triassi (BECB, 2022)

Machine Learning Algorithms to Predict Healthcare Associated Infections in a Neonatal Intensive Care Unit. - Emma Montella; Marta Rosaria Marino; Arianna Scala; Teresa Angela Trunfio; Maria Triassi; Giovanni Improta (BECB, 2022)

Predictive Models for Studying Emergency Department Abandonment Rates: A Bicentric Study. - Alfonso Maria Ponsiglione; Marta Rosaria Marino; Eliana Raiola; Giuseppe Russo; Anna Borrelli; Giovanni Improta (BECB, 2022)

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. - Rossella Alfano; Ilaria Loperto; Arianna Scala; Teresa Angela Trunfio; Andrea Lombardi; Anna Borrelli; Maria Triassi; Giovanni Improta (ICMHI, 2022)

A qualitative approach for the Health Technology Assessment of IT supported Type 2 Diabetes management tools. - Giovanni Improta; Maddalena Illario; Vincenzo De Luca; Giovanni Annuzzi; Guido Iaccarino; Maria Triassi (ICMHI, 2022)

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. - Arianna Scala; Teresa Angela Trunfio; Ilaria Loperto; Rossella Alfano; Andrea Lombardi; Anna Borrelli; Maria Triassi; Giovanni Improta (ICMHI, 2022)

Combining simulation and machine learning for the management of healthcare systems. - Carlo Ricciardi; Giuseppe Cesarelli; Alfonso Maria Ponsiglione; Gianmaria De Tommasi; Mario Cesarelli; Maria Romano; Giovanni Improta; Francesco Amato 001 (MetroXRAINE, 2022)

Multiple regression model to analyze the total LOS for patients undergoing laparoscopic appendectomy. - Teresa Angela Trunfio; Arianna Scala; Cristiana Giglio; Giovanni Rossi; Anna Borrelli; Maria Romano; Giovanni Improta (BMC Medical Informatics Decis. Mak., 2022)

Soft Transducer for Patient's Vitals Telemonitoring with Deep Learning-Based Personalized Anomaly Detection. - Pasquale Arpaia; Federica Crauso; Egidio De Benedetto; Luigi Duraccio; Giovanni Improta; Francesco Serino (Sensors, 2022)

COVID-19 in Eye Surgery: The Case of a University Hospital. - Marta Rosaria Marino; Ciro Costaiola; Paola Magri; Giuseppe Longo; Maria Triassi; Giovanni Improta (ICIMTH, 2023)

Machine learning algorithms to study the hospitalization after cesarean section: a multicenter analysis. - Marta Rosaria Marino; Anna Borrelli; Giuseppe Bifulco; Maria Triassi; Giovanni Improta (ICMHI, 2023)

Study of hospitalization for retinal surgery using classification algorithms. - Marta Rosaria Marino; Anna Borrelli; Maria Triassi; Giovanni Improta (ICMHI, 2023)

Implementation of a regression model to study the hospital stay of patients undergoing Laparoscopic Appendectomy: a multicenter study. - Emma Montella; Marta Rosaria Marino; Giuseppe Longo; Ugo Trama; Alessandro Frangiosa; Alfonso Nardo; Maria Triassi; Giovanni Improta (ICMHI, 2023)

Evaluation of different machine learning algorithms for predicting the length of stay in the emergency departments: a single-centre study. - Carlo Ricciardi; Marta Rosaria Marino; Teresa Angela Trunfio; Massimo Majolo; Maria Romano; Francesco Amato 001; Giovanni Improta (Frontiers Digit. Health, 2023)

Applying the DMAIC Cycle and Machine Learning to Examine COVID-19's Effects on Emergency Department-LOS. - Arianna Scala; Teresa Angela Trunfio; Giovanni Improta (ICMHI, 2024)

The analysis of COVID-19's Effects on Emergency Department-LOS using LSS approach and Machine Learning. - Teresa Angela Trunfio; Arianna Scala; Giovanni Improta (ICMHI, 2024)