https://www.selleckchem.com/pr....oducts/lificiguat-yc
The prediction model contained the following determinants (1) sufficient and competent employees, (2) complexity, (3) understanding/awareness of the project goals and process by employees, (4) feasibility and desirability. The area Under the curve (AUC) of the prediction model was 0.86 (0.8-0.92, 95% CI). A prediction model was developed for successful implementation of innovation in radiotherapy. This prediction model is the first of its kind and, after external validation, could be widely applicable to predict the timely imple
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