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1. Pediatric-onset Multiple Sclerosis treatment: a multicentre observational study comparing natalizumab with fingolimod

3. ChatGPT vs. neurologists: a cross-sectional study investigating preference, satisfaction ratings and perceived empathy in responses among people living with multiple sclerosis

8. Sustaining Continuous Improvement of a Higher Health Education Service Through Analytical Methodologies for Determining Customer Satisfaction

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

10. Study of Variables Influencing LOS with Machine Learning in Patients with Kidney Disease

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

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

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

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

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

16. Regression Models to Study Emergency Surgery Admissions

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

18. Use of Classification Algorithms to Investigate Inpatient Stay for Retinal Diseases

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

20. Analysis of the Reorganisation of Skin Transplantation Surgeries During the COVID-19 Pandemic

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

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

23. Modeling LOS After Percutaneous Valvuloplasty: A Bicentric Study

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

25. Machine Learning Algorithms to Predict Healthcare Associated Infections in a Neonatal Intensive Care Unit

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

27. Implementation of DMAIC Cycle to Study the Impact of COVID-19 on Emergency Department-LOS

28. Patient Abandonment Rate Assessment in the Emergency Department of a Nursing Home Conventioned: The Case of Evangelical Hospital 'Betania'

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

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

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

32. Data Analysis to Study the Prolonged ED-LOS: The Case of Evangelical Hospital 'Betania'

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

34. EDWIN and NEDOCS Indices to Study Patient Flow in Emergency Department

35. The Effect of CoViD-19 Pandemic on the Hospitalization of a Department of Oncology of an Italian Hospital

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

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

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

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