Teresa Angela Trunfio
Orcid: 0000-0003-0929-567X
According to our database1,
Teresa Angela Trunfio
authored at least 35 papers
between 2021 and 2024.
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Bibliography
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
2023
Evaluation of different machine learning algorithms for predicting the length of stay in the emergency departments: a single-centre study.
Frontiers Digit. Health, March, 2023
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
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
Proceedings of the 11th International Conference on Bioinformatics and Biomedical Science, 2022
Study of coronary artery bypass grafting admission in Covid-19 era: a bicentric study.
Proceedings of the 11th International Conference on Bioinformatics and Biomedical Science, 2022
A machine learning approach to predict the hospital length of stay after kidney surgery.
Proceedings of the 11th International Conference on Bioinformatics and Biomedical Science, 2022
Sustaining Continuous Improvement of a Higher Health Education Service Through Analytical Methodologies for Determining Customer Satisfaction.
Proceedings of the Lean, Green and Sustainability, 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
Impact of COVID-19 in a Surgery Department: Comparison Between Two Italian Hospitals.
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
Analysis of the Reorganisation of Skin Transplantation Surgeries During the COVID-19 Pandemic.
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
A comparison of different regression and classification methods for predicting the length of hospital stay after cesarean sections.
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
Measure and comparison of facial attractiveness indices through photogrammetry and statistical analysis.
Proceedings of the ICMHI 2021: 5th International Conference on Medical and Health Informatics, 2021
A Machine Learning approach to study soft-tissue facial characteristics as indicators of woman attractiveness.
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
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.
Proceedings of the ICBBS 2021: 10th International Conference on Bioinformatics and Biomedical Science, Xiamen, China, October 29, 2021
A study of healthcare associated infections in the Intensive Care Unit of "Federico II" University Hospital through 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
The effect of CoViD-19 pandemic on the hospitalization of a department of Emergency Surgery.
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
Regression and Machine Learning analysis to predict the length of stay in patients undergoing hip replacement surgery.
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
Investigating the impact of age, gender, and comorbid conditions on the prolonged length of stay after endarterectomy.
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