Sfoglia per Autore
Combining simulation models and machine learning in healthcare management: strategies and applications
2024 Ponsiglione, Alfonso Maria; Zaffino, Paolo; Ricciardi, Carlo; Di Laura, Danilo; Spadea, Maria Francesca; De Tommasi, Gianmaria; Improta, Giovanni; Romano, Maria; Amato, Francesco
Evaluation of different machine learning algorithms for predicting the length of stay in the emergency departments: a single-centre study
2024 Ricciardi, Carlo; Marino, Marta Rosaria; Trunfio, Teresa Angela; Majolo, Massimo; Romano, Maria; Amato, Francesco; Improta, Giovanni
Lean Six Sigma Approach to Improve the Management of Patients Undergoing Laparoscopic Cholecystectomy
2024 Scala, Arianna; Improta, Giovanni
Evaluation of sarcopenia and sarcopenic obesity in patients affected by oral squamous cell carcinoma: A retrospective single-center study
2023 Bonavolontà, Paola; Improta, Giovanni; Dell’Aversana Orabona, Giovanni; Goglia, Federica; Abbate, Vincenzo; Sorrentino, Alfonso; Piloni, Sara; Salzano, Giovanni; Iaconetta, Giorgio; Califano, Luigi
Data Analysis to Study the Prolonged ED-LOS: The Case of Evangelical Hospital “Betania”
2023 Improta, G.; Bottino, V.; Sciambra, A.; Russo, M. A.; Stingone, M. A.; Triassi, M.
Patient Abandonment Rate Assessment in the Emergency Department of a Nursing Home Conventioned: The Case of Evangelical Hospital “Betania”
2023 Improta, G.; Bottino, V.; Morra, M.; Russo, M. A.; Nasti, R.; Triassi, M.
Predictive Models for Studying Emergency Department Abandonment Rates: A Bicentric Study
2023 Ponsiglione, A. M.; Marino, M. R.; Raiola, E.; Russo, G.; Borrelli, A.; Improta, G.
Implementation of DMAIC Cycle to Study the Impact of COVID-19 on Emergency Department-LOS
2023 Improta, G.; Bottino, V.; Stingone, M. A.; Russo, M. A.; Setaro, L.; Triassi, M.
EDWIN and NEDOCS Indices to Study Patient Flow in Emergency Department
2023 Improta, G.; Bottino, V.; Baiano, E.; Russo, M. A.; Stingone, M. A.; Triassi, M.
Classification and regression model to manage the hospitalization for laparoscopic cholecystectomy
2023 Scala, Arianna; Trunfio, Teresa Angela; Improta, Giovanni
Predictive Analysis of Hospital Stay after Caesarean Section: A Single-Center Study
2023 Ponsiglione, Alfonso Maria; Trunfio, TERESA ANGELA; Amato, Francesco; Improta, Giovanni
Machine Learning Algorithms to Predict Healthcare Associated Infections in a Neonatal Intensive Care Unit
2023 Montella, E.; Marino, M. R.; Scala, A.; Trunfio, T. A.; Triassi, M.; Improta, G.
Risk Factors Analysis of Surgical Infection Using Artificial Intelligence: A Single Center Study
2022 Scala, A.; Loperto, I.; Triassi, M.; Improta, G.
A case study to investigate the impact of overcrowding indices in emergency departments
2022 Improta, Giovanni; Majolo, Massimo; Raiola, Eliana; Russo, Giuseppe; Longo, Giuseppe; Triassi, Maria
Combining simulation and machine learning for the management of healthcare systems
2022 Ricciardi, C.; Cesarelli, G.; Ponsiglione, A. M.; DE TOMMASI, Gianmaria; Cesarelli, M.; Romano, M.; Improta, G.; Amato, F.
Machine Learning and Lean Six Sigma to Assess How COVID-19 Has Changed the Patient Management of the Complex Operative Unit of Neurology and Stroke Unit: A Single Center Study
2022 Improta, Giovanni; Borrelli, Anna; Triassi, Maria
Normalized Workflow to Optimize Hybrid De Novo Transcriptome Assembly for Non-Model Species: A Case Study in Lilium ledebourii (Baker) Boiss
2022 Sheikh-Assadi, Morteza; Naderi, Roohangiz; Salami, Seyed Alireza; Kafi, Mohsen; Fatahi, Reza; Shariati, Vahid; Martinelli, Federico; Cicatelli, Angela; Triassi, Maria; Guarino, Francesco; Improta, Giovanni; Claros, Manuel Gonzalo
Predictive analysis of lower limb fractures in the orthopedic complex operative unit using artificial intelligence: the case study of AOU Ruggi
2022 Scala, A.; Borrelli, A.; Improta, G.
Soft Transducer for Patient’s Vitals Telemonitoring with Deep Learning-Based Personalized Anomaly Detection
2022 Arpaia, Pasquale; Crauso, Federica; De Benedetto, Egidio; Duraccio, Luigi; Improta, Giovanni; Serino, Francesco
A qualitative approach for the Health Technology Assessment of IT supported Type 2 Diabetes management tools
2022 Improta, G.; Illario, M.; De Luca, V.; Annuzzi, G.; Iaccarino, G.; Triassi, M.
Titolo | Tipologia | Data di pubblicazione | Autore(i) | File |
---|---|---|---|---|
Combining simulation models and machine learning in healthcare management: strategies and applications | 1.8 Articolo in rassegna (review) | 2024 | Ponsiglione, Alfonso Maria; Zaffino, Paolo; Ricciardi, Carlo; Di Laura, Danilo; Spadea, Maria Francesca; De Tommasi, Gianmaria; Improta, Giovanni; Romano, Maria; Amato, Francesco | |
Evaluation of different machine learning algorithms for predicting the length of stay in the emergency departments: a single-centre study | 1.1 Articolo in rivista | 2024 | Ricciardi, Carlo; Marino, Marta Rosaria; Trunfio, Teresa Angela; Majolo, Massimo; Romano, Maria; Amato, Francesco; Improta, Giovanni | |
Lean Six Sigma Approach to Improve the Management of Patients Undergoing Laparoscopic Cholecystectomy | 1.1 Articolo in rivista | 2024 | Scala, Arianna; Improta, Giovanni | |
Evaluation of sarcopenia and sarcopenic obesity in patients affected by oral squamous cell carcinoma: A retrospective single-center study | 1.1 Articolo in rivista | 2023 | Bonavolontà, Paola; Improta, Giovanni; Dell’Aversana Orabona, Giovanni; Goglia, Federica; Abbate, Vincenzo; Sorrentino, Alfonso; Piloni, Sara; Salzano, Giovanni; Iaconetta, Giorgio; Califano, Luigi | |
Data Analysis to Study the Prolonged ED-LOS: The Case of Evangelical Hospital “Betania” | 4.1 Articoli in Atti di convegno | 2023 | Improta, G.; Bottino, V.; Sciambra, A.; Russo, M. A.; Stingone, M. A.; Triassi, M. | |
Patient Abandonment Rate Assessment in the Emergency Department of a Nursing Home Conventioned: The Case of Evangelical Hospital “Betania” | 4.1 Articoli in Atti di convegno | 2023 | Improta, G.; Bottino, V.; Morra, M.; Russo, M. A.; Nasti, R.; Triassi, M. | |
Predictive Models for Studying Emergency Department Abandonment Rates: A Bicentric Study | 4.1 Articoli in Atti di convegno | 2023 | Ponsiglione, A. M.; Marino, M. R.; Raiola, E.; Russo, G.; Borrelli, A.; Improta, G. | |
Implementation of DMAIC Cycle to Study the Impact of COVID-19 on Emergency Department-LOS | 4.1 Articoli in Atti di convegno | 2023 | Improta, G.; Bottino, V.; Stingone, M. A.; Russo, M. A.; Setaro, L.; Triassi, M. | |
EDWIN and NEDOCS Indices to Study Patient Flow in Emergency Department | 4.1 Articoli in Atti di convegno | 2023 | Improta, G.; Bottino, V.; Baiano, E.; Russo, M. A.; Stingone, M. A.; Triassi, M. | |
Classification and regression model to manage the hospitalization for laparoscopic cholecystectomy | 1.1 Articolo in rivista | 2023 | Scala, Arianna; Trunfio, Teresa Angela; Improta, Giovanni | |
Predictive Analysis of Hospital Stay after Caesarean Section: A Single-Center Study | 1.1 Articolo in rivista | 2023 | Ponsiglione, Alfonso Maria; Trunfio, TERESA ANGELA; Amato, Francesco; Improta, Giovanni | |
Machine Learning Algorithms to Predict Healthcare Associated Infections in a Neonatal Intensive Care Unit | 4.1 Articoli in Atti di convegno | 2023 | Montella, E.; Marino, M. R.; Scala, A.; Trunfio, T. A.; Triassi, M.; Improta, G. | |
Risk Factors Analysis of Surgical Infection Using Artificial Intelligence: A Single Center Study | 1.1 Articolo in rivista | 2022 | Scala, A.; Loperto, I.; Triassi, M.; Improta, G. | |
A case study to investigate the impact of overcrowding indices in emergency departments | 1.1 Articolo in rivista | 2022 | Improta, Giovanni; Majolo, Massimo; Raiola, Eliana; Russo, Giuseppe; Longo, Giuseppe; Triassi, Maria | |
Combining simulation and machine learning for the management of healthcare systems | 4.1 Articoli in Atti di convegno | 2022 | Ricciardi, C.; Cesarelli, G.; Ponsiglione, A. M.; DE TOMMASI, Gianmaria; Cesarelli, M.; Romano, M.; Improta, G.; Amato, F. | |
Machine Learning and Lean Six Sigma to Assess How COVID-19 Has Changed the Patient Management of the Complex Operative Unit of Neurology and Stroke Unit: A Single Center Study | 1.1 Articolo in rivista | 2022 | Improta, Giovanni; Borrelli, Anna; Triassi, Maria | |
Normalized Workflow to Optimize Hybrid De Novo Transcriptome Assembly for Non-Model Species: A Case Study in Lilium ledebourii (Baker) Boiss | 1.1 Articolo in rivista | 2022 | Sheikh-Assadi, Morteza; Naderi, Roohangiz; Salami, Seyed Alireza; Kafi, Mohsen; Fatahi, Reza; Shariati, Vahid; Martinelli, Federico; Cicatelli, Angela; Triassi, Maria; Guarino, Francesco; Improta, Giovanni; Claros, Manuel Gonzalo | |
Predictive analysis of lower limb fractures in the orthopedic complex operative unit using artificial intelligence: the case study of AOU Ruggi | 1.1 Articolo in rivista | 2022 | Scala, A.; Borrelli, A.; Improta, G. | |
Soft Transducer for Patient’s Vitals Telemonitoring with Deep Learning-Based Personalized Anomaly Detection | 1.1 Articolo in rivista | 2022 | Arpaia, Pasquale; Crauso, Federica; De Benedetto, Egidio; Duraccio, Luigi; Improta, Giovanni; Serino, Francesco | |
A qualitative approach for the Health Technology Assessment of IT supported Type 2 Diabetes management tools | 4.1 Articoli in Atti di convegno | 2022 | Improta, G.; Illario, M.; De Luca, V.; Annuzzi, G.; Iaccarino, G.; Triassi, M. |
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