1.
Baseline characteristics of participants stratified into SARS-COV-2 positive and negative.
2.
3.
Overall performance of machine learning algorithms by AUCs for the 8 subsets.
Proportion of predicted values averaged for 4 subsets.
S1 Data -
Data used as model inputs for the computational experiments of each center.
Key performance indicators defined by the RT centers.
Main infeasibilities and limitations found during the schedule construction method and corresponding model adjustments.
Performance comparison between the schedule built manually and the MILP model in the NKI.
Performance comparison between the schedule constructed manually and the MILP model in the BVI.
Health Insurer Trust Scale (HITS) (Zheng et al., 2002).