Machine learning to predict environmental dose rates from a radionuclide therapy service- A proof of concept study.
Richard MeadesJoanne PageJames Clark RossDaniel McCoolPublished in: Journal of radiological protection : official journal of the Society for Radiological Protection (2023)
This work demonstrates that machine learning can predict environmental radiation dose rates in the areas surrounding radionuclide therapy wastewater pipework and indicates that it has the potential to play a role in improving legislative compliance, the accuracy of radiation safety and use of staff time and resources.