| BCM | breast cancer metastasis |
| MBIL | Markov blanket and interactive risk factor learner |
| BN | Bayesian network |
| DAG | directed acyclic graph |
| DFNN | Deep feed forward neural network |
| DNNs | Deep neural networks |
| HYPES | hyperparameter setting |
| P-HYPESs | pool of hyperparameter settings |
| RGS | Randomized Grid Search |
| RGS_HSG | Hyperparameter Setting Generator |
| CV | cross validation |
| RGSP | Randomized Grade Search Package |
| DNM | deep feed-forward neural network models for breast cancer metastasis |
| RF | risk factor |
| ML | machine learning |
| BDeu | Bayesian Dirichlet equivalent uniform |
| EHR | electronic health records |
| TNBC | triple negative breast cancer |
| SHGS | Single Hyperparameter Grid Searches |
| ROC curve | receiver operator characteristic curve |
| TPR | true positive rate |
| FPR | false positive rate |