Anna Borrelli

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Proceedings of the 6th International Conference on Medical and Health Informatics, 2022

A multiple regression model for modelling the hospital patients LOS' of laparoscopic cholecystectomy: a bicentric study.

[BibT_eX]

[DOI]

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Proceedings of the 6th International Conference on Medical and Health Informatics, 2022

Lean Six Sigma approach to the study of the LOS of patients who undergo laparoscopic cholecystectomy: a bicentric study.

[BibT_eX]

[DOI]

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Proceedings of the 6th International Conference on Medical and Health Informatics, 2022

Regression and classification methods for predicting the length of hospital stay after cesarean section: a bicentric study.

[BibT_eX]

[DOI]

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Proceedings of the 6th International Conference on Medical and Health Informatics, 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.

[BibT_eX]

[DOI]

Rossella Alfano

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Ilaria Loperto

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Proceedings of the 6th International Conference on Medical and Health Informatics, 2022

Study of coronary artery bypass grafting admission in Covid-19 era: a bicentric study.

[BibT_eX]

[DOI]

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Proceedings of the 11th International Conference on Bioinformatics and Biomedical Science, 2022

Multiple Linear Regression to Analyze the Effect of Emergency Diagnostic Procedures on the Hospitalization.

[BibT_eX]

[DOI]

Antonio Saverio Valente

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Proceedings of the Biomedical and Computational Biology - Second International Symposium, 2022

Impact of COVID-19 in a Surgery Department: Comparison Between Two Italian Hospitals.

[BibT_eX]

[DOI]

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Proceedings of the Biomedical and Computational Biology - Second International Symposium, 2022

Regression and Machine Learning Algorithm to Study the LOS of Patients Undergoing Hip Surgery.

[BibT_eX]

[DOI]

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Proceedings of the Biomedical and Computational Biology - Second International Symposium, 2022

Use of Statistical Analysis to Evaluate How Covid-19 Has Changed the Management of the Neurosurgery Department of the AORN "A. Cardarelli" in Naples.

[BibT_eX]

[DOI]

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Proceedings of the Biomedical and Computational Biology - Second International Symposium, 2022

How has COVID-19 Changed the Activities of Plastic Surgery? A Bicentric Study.

[BibT_eX]

[DOI]

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Proceedings of the Biomedical and Computational Biology - Second International Symposium, 2022

Machine Learning Algorithms to Predict LOS in Patients Undergoing Heart Bypass Surgery: A Bicentric Study.

[BibT_eX]

[DOI]

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Proceedings of the Biomedical and Computational Biology - Second International Symposium, 2022

Effects of Covid-19 Protocols on Treatment of Patients with Head-Neck Diseases.

[BibT_eX]

[DOI]

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Proceedings of the Biomedical and Computational Biology - Second International Symposium, 2022

Machine Learning Algorithms to Study Features Affecting the Length of Stay in Patients with Lower Limb Fractures: A Bicentric Study.

[BibT_eX]

[DOI]

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Proceedings of the Biomedical and Computational Biology - Second International Symposium, 2022

Statistical Analysis and Logistic Regression to Assess How COVID-19 Has Changed Department of General Medicine Patients' Management: A Bicentric Study.

[BibT_eX]

[DOI]

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Proceedings of the Biomedical and Computational Biology - Second International Symposium, 2022

Regression Models to Study Emergency Surgery Admissions.

[BibT_eX]

[DOI]

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Proceedings of the Biomedical and Computational Biology - Second International Symposium, 2022

Analyzing LOS Variation for Patients Under Emergency Interventions: A Bicentric Study.

[BibT_eX]

[DOI]

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Proceedings of the Biomedical and Computational Biology - Second International Symposium, 2022

Predictive Algorithms to Study the Hospitalization for Knee Replacement Surgery: A Bicentric Study.

[BibT_eX]

[DOI]

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Proceedings of the Biomedical and Computational Biology - Second International Symposium, 2022

Predictive Models for Studying Emergency Department Abandonment Rates: A Bicentric Study.

[BibT_eX]

[DOI]

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Proceedings of the Biomedical and Computational Biology - Second International Symposium, 2022

Covid-19: The Effect on Hospitalization Patient of Ophthalmology Department in "Antonio Cardarelli" Hospital.

[BibT_eX]

[DOI]

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Proceedings of the Biomedical and Computational Biology - Second International Symposium, 2022

Modeling LOS After Percutaneous Valvuloplasty: A Bicentric Study.

[BibT_eX]

[DOI]

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Proceedings of the Biomedical and Computational Biology - Second International Symposium, 2022

Analysis of Hospital Admissions of Neurological Patients in the COVID-19 Era: Comparison Between Hospitals.

[BibT_eX]

[DOI]

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Proceedings of the Biomedical and Computational Biology - Second International Symposium, 2022

Comparison Between Two Hospitals to Study the Impact of COVID-19 on Emergency Medicine Activities.

[BibT_eX]

[DOI]

Emma Montella

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Marta Rosaria Marino

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Alessandro Giovagnoli

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Proceedings of the Biomedical and Computational Biology - Second International Symposium, 2022

Regression Model to Predict LOS in General Medicine Department: A Bicentric Study.

[BibT_eX]

[DOI]

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Antonio Saverio Valente

Proceedings of the Biomedical and Computational Biology - Second International Symposium, 2022

Multiple Regression Model to Analyze the Length of Stay for Patients Undergoing Laparoscopic Appendectomy: A Bicentric Study.

[BibT_eX]

[DOI]

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Proceedings of the Biomedical and Computational Biology - Second International Symposium, 2022

The Effect of CoViD-19 Pandemic on the Hospitalization of Two Department of Emergency Surgery in Two Italian Hospitals.

[BibT_eX]

[DOI]

Emma Montella

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Marta Rosaria Marino

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Miriam Rita Castorina

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Proceedings of the Biomedical and Computational Biology - Second International Symposium, 2022

A Bicentric Study to Investigate the Impact of COVID-19 on Urological Patients.

[BibT_eX]

[DOI]

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Proceedings of the Biomedical and Computational Biology - Second International Symposium, 2022

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.

[BibT_eX]

[DOI]

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Proceedings of the ICMHI 2021: 5th International Conference on Medical and Health Informatics, 2021

A comparison of different regression and classification methods for predicting the length of hospital stay after cesarean sections.

[BibT_eX]

[DOI]

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Antonietta Ferrara

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Paolo Gargiulo

Proceedings of the ICMHI 2021: 5th International Conference on Medical and Health Informatics, 2021

Modelling the hospital length of stay for patients undergoing laparoscopic cholecystectomy through a multiple regression model.

[BibT_eX]

[DOI]

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Proceedings of the ICMHI 2021: 5th International Conference on Medical and Health Informatics, 2021

Multiple Regression and Machine Learning to investigate factors influencing the length of hospital stay after valvuloplasty.

[BibT_eX]

[DOI]

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Proceedings of the ICMHI 2021: 5th International Conference on Medical and Health Informatics, 2021

Studying variables affecting the length of stay in patients with lower limb fractures by means of Machine Learning.

[BibT_eX]

[DOI]

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Proceedings of the ICMHI 2021: 5th International Conference on Medical and Health Informatics, 2021

Modelling the length of hospital stay after knee replacement surgery through Machine Learning and Multiple Linear Regression at "San Giovanni di Dio e Ruggi d'Aragona" University Hospital.

[BibT_eX]

[DOI]

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Giovanni Rossi

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Maria Romano

Proceedings of the ICBBS 2021: 10th International Conference on Bioinformatics and Biomedical Science, Xiamen, China, October 29, 2021

The Impact of CoViD-19 on hospital activities: the case of the C.O.U. Otorhinolaryngology.

[BibT_eX]

[DOI]

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Paolo Gargiulo

Proceedings of the ICBBS 2021: 10th International Conference on Bioinformatics and Biomedical Science, Xiamen, China, October 29, 2021

Use of machine learning to predict abandonment rates in an emergency department.

[BibT_eX]

[DOI]

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Proceedings of the ICBBS 2021: 10th International Conference on Bioinformatics and Biomedical Science, Xiamen, China, October 29, 2021

Modelling the hospital length of stay for patients undergoing laparoscopic appendectomy through a Multiple Regression Model.

[BibT_eX]

[DOI]

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Proceedings of the BECB 2021: 2021 International Symposium on Biomedical Engineering and Computational Biology, Nanchang, China, August 13, 2021

The Impact of Covid-19 on the Length of Stay of the Plastic Surgery Department.

[BibT_eX]

[DOI]

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Proceedings of the BECB 2021: 2021 International Symposium on Biomedical Engineering and Computational Biology, Nanchang, China, August 13, 2021

The effect of CoViD-19 pandemic on the hospitalization of a department of Emergency Surgery.

[BibT_eX]

[DOI]

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Proceedings of the BECB 2021: 2021 International Symposium on Biomedical Engineering and Computational Biology, Nanchang, China, August 13, 2021

A comparison of different Machine Learning algorithms for predicting the length of hospital stay for patients undergoing cataract surgery.

[BibT_eX]

[DOI]

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Proceedings of the BECB 2021: 2021 International Symposium on Biomedical Engineering and Computational Biology, Nanchang, China, August 13, 2021

Investigating the impact of CoViD-19 on the activities of a Department of General Medicine.

[BibT_eX]

[DOI]

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Proceedings of the BECB 2021: 2021 International Symposium on Biomedical Engineering and Computational Biology, Nanchang, China, August 13, 2021

Logistic Regression to study the change in length of stay in a department of Ophthalmology in CoViD-19 era.

[BibT_eX]

[DOI]

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Proceedings of the BECB 2021: 2021 International Symposium on Biomedical Engineering and Computational Biology, Nanchang, China, August 13, 2021

Comparison of machine learning algorithms to predict length of hospital stay in patients undergoing heart bypass surgery.

[BibT_eX]

[DOI]

Martina Profeta

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Proceedings of the BECB 2021: 2021 International Symposium on Biomedical Engineering and Computational Biology, Nanchang, China, August 13, 2021

Impact of diagnostic techniques on the length of stay in emergency medicine.

[BibT_eX]

[DOI]

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Proceedings of the BECB 2021: 2021 International Symposium on Biomedical Engineering and Computational Biology, Nanchang, China, August 13, 2021

Influence of demographic and organizational factors on the length of hospital stay in a general medicine department: Factors influencing length of stay in general medicine.

[BibT_eX]

[DOI]

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Proceedings of the BECB 2021: 2021 International Symposium on Biomedical Engineering and Computational Biology, Nanchang, China, August 13, 2021

Regression and Machine Learning analysis to predict the length of stay in patients undergoing hip replacement surgery.

[BibT_eX]

[DOI]

Cristina Ponsiglione

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Francesco Bruno

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Proceedings of the BECB 2021: 2021 International Symposium on Biomedical Engineering and Computational Biology, Nanchang, China, August 13, 2021

Modeling the variation in length of stay for appendectomy and cholecystectomy interventions in the emergency general surgery.

[BibT_eX]

[DOI]

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Proceedings of the BECB 2021: 2021 International Symposium on Biomedical Engineering and Computational Biology, Nanchang, China, August 13, 2021

Analysis of the adequacy of admissions in a Complex Operative Unit of General Surgery and Day Surgery and Breast Unit.

[BibT_eX]

[DOI]

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Proceedings of the BECB 2021: 2021 International Symposium on Biomedical Engineering and Computational Biology, Nanchang, China, August 13, 2021

Appropriate admission in Covid-19 era: the case study of the C.O.U. Neurology and Stroke Unit.

[BibT_eX]

[DOI]

Ilaria Loperto

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Rossella Alfano

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Proceedings of the BECB 2021: 2021 International Symposium on Biomedical Engineering and Computational Biology, Nanchang, China, August 13, 2021

Use of statistical analysis and logistic regression to study the length of stay in an Emergency Medicine Department in CoViD-19 era.

[BibT_eX]

[DOI]

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Proceedings of the BECB 2021: 2021 International Symposium on Biomedical Engineering and Computational Biology, Nanchang, China, August 13, 2021

Hospital activities and CoViD-19: the case study of a Urology Department.

[BibT_eX]

[DOI]

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Proceedings of the BECB 2021: 2021 International Symposium on Biomedical Engineering and Computational Biology, Nanchang, China, August 13, 2021

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.

[BibT_eX]

[DOI]

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Proceedings of the BECB 2021: 2021 International Symposium on Biomedical Engineering and Computational Biology, Nanchang, China, August 13, 2021

Investigating the impact of age, gender, and comorbid conditions on the prolonged length of stay after endarterectomy.

[BibT_eX]

[DOI]

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Proceedings of the BECB 2021: 2021 International Symposium on Biomedical Engineering and Computational Biology, Nanchang, China, August 13, 2021

A Lean Six Sigma approach to improve the Emergency Department of University Hospital "San Giovanni di Dio e Ruggi d'Aragona".

[BibT_eX]

[DOI]

Giovanni Improta

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Antonio Della Vecchia

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Giuseppe Russo

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Maria Triassi

Proceedings of the BECB 2021: 2021 International Symposium on Biomedical Engineering and Computational Biology, Nanchang, China, August 13, 2021

Overcrowding in emergency department: a comparison between indexes.

[BibT_eX]

[DOI]

Giovanni Improta

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Ylenia Colella

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Antonio Della Vecchia

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Giuseppe Russo

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Maria Triassi

Proceedings of the BECB 2021: 2021 International Symposium on Biomedical Engineering and Computational Biology, Nanchang, China, August 13, 2021

Investigation of factors increasing waiting times in the Emergency Departments of "San Giovanni di Dio e Ruggi d'Aragona" Hospital through machine learning.

[BibT_eX]

[DOI]

Cristiana Giglio

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,

Antonio Della Vecchia

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Proceedings of the BECB 2021: 2021 International Symposium on Biomedical Engineering and Computational Biology, Nanchang, China, August 13, 2021

A comparison of different Machine Learning algorithms for predicting the length of hospital stay for pediatric patients.

[BibT_eX]

[DOI]

Ylenia Colella

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Proceedings of the BECB 2021: 2021 International Symposium on Biomedical Engineering and Computational Biology, Nanchang, China, August 13, 2021

Trend of the LOS for patients suffering from different kidney injuries.

[BibT_eX]

[DOI]

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Proceedings of the BECB 2021: 2021 International Symposium on Biomedical Engineering and Computational Biology, Nanchang, China, August 13, 2021

Using Statistical Analysis and Logistic Regression to study the effect of CoViD-19 on hospital activities of the C.O.U. General Surgery and Kidney Transplants.

[BibT_eX]

[DOI]

Rossella Alfano

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Ilaria Loperto

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