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

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Machine learning algorithms to study the hospitalization after cesarean section: a multicenter analysis., , , , and . ICMHI, page 164-168. ACM, (2023)A comparison of different Machine Learning algorithms for predicting the length of hospital stay for pediatric patients., , , , , , , and . BECB, page 39:1-39:4. ACM, (2021)Investigating the impact of CoViD-19 on the activities of a Department of General Medicine., , , , , and . BECB, page 53:1-53:4. ACM, (2021)Use of statistical analysis and logistic regression to study the length of stay in an Emergency Medicine Department in CoViD-19 era., , , , , and . BECB, page 52:1-52:3. ACM, (2021)Comparison of machine learning algorithms to predict length of hospital stay in patients undergoing heart bypass surgery., , , , , and . BECB, page 24:1-24:5. ACM, (2021)Predictive Models for Studying Emergency Department Abandonment Rates: A Bicentric Study., , , , , and . BECB, volume 13637 of Lecture Notes in Computer Science, page 445-452. Springer, (2022)Impact of COVID-19 in a Surgery Department: Comparison Between Two Italian Hospitals., , , , , , , , and . BECB, volume 13637 of Lecture Notes in Computer Science, page 537-544. Springer, (2022)Modeling LOS After Percutaneous Valvuloplasty: A Bicentric Study., , , , , , , , and . BECB, volume 13637 of Lecture Notes in Computer Science, page 428-435. Springer, (2022)A Bicentric Study to Investigate the Impact of COVID-19 on Urological Patients., , , , , , , , and . BECB, volume 13637 of Lecture Notes in Computer Science, page 348-356. Springer, (2022)Hospital activities and CoViD-19: the case study of a Urology Department., , , and . BECB, page 54:1-54:4. ACM, (2021)