ORAHS2025
Abstract Submission

Session TA-1: Surgery scheduling 1 in stream Sessions

Tuesday, 9:00-10:30
Room: NTNU, Realfagbygget R5

Session chair(s):
Jacoba Bührmann (joke.buhrmann@nwu.ac.za)

The following abstracts have been submitted in this session:
218. Fairness and efficiency, can we achieve both? A case study in training of vascular surgery trainees Alice Daldossi [] - Italy
accepted
Viola Clerici [] - Netherlands
Roberto Aringhieri [] - Italy
Erwin W. Hans [] - Netherlands
116. Evaluation of the performance of machine learning models for the prediction of the operating room occupation time of non-elective surgeries Anem Dupré [] - France
accepted
Oualid Jouini [] - France
Guillaume Lamé [] - France
Thomas Botrel [] - France
101. Predicting nurse turnover intention using machine learning algorithms Jacoba Bührmann [] - South Africa
accepted
Siedine Coetzee [] - South Africa
Maria Van Zyl [] - South Africa
Alwiena Blignaut [] - South Africa