Machine-Learning-Aided Prediction of Brain Metastases Development in Non-Small-Cell Lung Cancers

CONCLUSION: Analysis of the importance of input features suggests that the models are learning the relevant relationships between clinical features/development of BM. A higher number of samples is to be prioritized to improve performance. Employed prospectively at initial diagnosis, such models can help select high-risk subgroups for surveillance brain …