Arianna Scala
Orcid: 0000-0001-9735-5227
According to our database1,
Arianna Scala authored at least 46 papers
between 2021 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
Proceedings of the 2025 9th International Conference on Medical and Health Informatics, 2025
Machine learning methods comparisons to predict LOS performance for Patients undertaking Knee replacement Surgery.
Proceedings of the 2025 9th International Conference on Medical and Health Informatics, 2025
Reduction of Episiotomies in the Birth Pathway: Application of the M.A.S.T.E.R. Methodology at the Evangelical Betania Hospital.
Proceedings of the 2025 9th International Conference on Computational Biology and Bioinformatics, 2025
Optimization of Postoperative Care and Discharge Process for Cesarean Sections with Complications.
Proceedings of the 2025 9th International Conference on Computational Biology and Bioinformatics, 2025
Implementation of a Fast-Track Total Hip Replacement Pathway Using the M.A.S.T.E.R. Framework: A Multidisciplinary Quality Improvement Initiative.
Proceedings of the 2025 9th International Conference on Computational Biology and Bioinformatics, 2025
Reducing Time-to-Surgery in Elderly Patients with Proximal Femur Fractures: A Quality Improvement Initiative Using the M.A.S.T.E.R. Framework.
Proceedings of the 2025 9th International Conference on Computational Biology and Bioinformatics, 2025
Applying the M.A.S.T.E.R. Framework to Laparoscopic Appendectomy: A Data-Driven Reduction in Length of Stay at Ospedale Evangelico Betania.
Proceedings of the 2025 9th International Conference on Computational Biology and Bioinformatics, 2025
Proceedings of the 2025 9th International Conference on Computational Biology and Bioinformatics, 2025
2024
The analysis of COVID-19's Effects on Emergency Department-LOS using LSS approach and Machine Learning.
Proceedings of the 2024 8th International Conference on Medical and Health Informatics, 2024
Applying the DMAIC Cycle and Machine Learning to Examine COVID-19's Effects on Emergency Department-LOS.
Proceedings of the 2024 8th International Conference on Medical and Health Informatics, 2024
Empowering Patient Risk Management Strategies: Validation the AHRQ Elixhauser Mortality Index on Italian Hospital Administrative Dataset.
Proceedings of the 2024 8th International Conference on Medical and Health Informatics, 2024
Proceedings of the 8th International Conference on Biomedical Engineering and Applications, 2024
An ANN approach for ICU management in 4.0 environment tested on MIMIC-III database of Boston Beth Israel Deaconess Medical Center.
Proceedings of the 8th International Conference on Biomedical Engineering and Applications, 2024
Machine Learning Models for Predicting "Left Without Being Seen" in Distributed Emergency Departments: A Comparative Study in Naples, Italy.
Proceedings of the 8th International Conference on Biomedical Engineering and Applications, 2024
2022
Multiple regression model to analyze the total LOS for patients undergoing laparoscopic appendectomy.
BMC Medical Informatics Decis. Mak., 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.
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.
Proceedings of the 6th International Conference on Medical and Health Informatics, 2022
Study of Variables Influencing LOS with Machine Learning in Patients with Kidney Disease.
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.
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.
Proceedings of the Biomedical and Computational Biology - Second International Symposium, 2022
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.
Proceedings of the Biomedical and Computational Biology - Second International Symposium, 2022
Analyzing LOS Variation for Patients Under Emergency Interventions: A Bicentric Study.
Proceedings of the Biomedical and Computational Biology - Second International Symposium, 2022
Machine Learning Algorithms to Predict Healthcare Associated Infections in a Neonatal Intensive Care Unit.
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.
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.
Proceedings of the Biomedical and Computational Biology - Second International Symposium, 2022
Proceedings of the Biomedical and Computational Biology - Second International Symposium, 2022
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.
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.
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.
Proceedings of the ICMHI 2021: 5th International Conference on Medical and Health Informatics, 2021
Assessment of proteinuria level in nephrology patients using a machine learning approach.
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.
Proceedings of the ICMHI 2021: 5th International Conference on Medical and Health Informatics, 2021
Predicting length of stay using regression and Machine Learning models in Intensive Care Unit: a pilot study.
Proceedings of the ICBET 2021: 11th International Conference on Biomedical Engineering and Technology, Tokyo, Japan, March 17, 2021
Impact of hospital infections in the clinical medicine area of "Federico II" University Hospital of Naples assessed by means of statistical analysis and logistic regression.
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.
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.
Proceedings of the BECB 2021: 2021 International Symposium on Biomedical Engineering and Computational Biology, Nanchang, China, August 13, 2021
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.
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.
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.
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.
Proceedings of the BECB 2021: 2021 International Symposium on Biomedical Engineering and Computational Biology, Nanchang, China, August 13, 2021
Use of regression models to predict glomerular filtration rate in kidney transplanted patients.
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.
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.
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.
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.
Proceedings of the BECB 2021: 2021 International Symposium on Biomedical Engineering and Computational Biology, Nanchang, China, August 13, 2021