Predicting grade II-IV bone marrow suppression in patients with cervical cancer based on radiomics and dosiomics

The objective of this study is to develop a machine learning model integrating clinical characteristics with radiomics and dosiomics data, aiming to assess their predictive utility in anticipating grade 2 or higher BMS occurrences in cervical cancer patients undergoing radiotherapy.