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Comparison of related works.
| Work | Method | Dataset resource | Evaluation metric | Performance |
| Mavaddat et al., 2019 | Polygenic risk scores (PRSs) | Breast Cancer Association Consortium (BCAC) | AUC | 0.63 |
| Chaurasia et al., 2018 | Naive Bayes | Breast Cancer Wisconsin dataset | Accuracy | 97.36% |
| Ai et al., 2020 | Pearson correlation coefficient (PCC) + SVM | GEO | Accuracy | 96.92% |
| Huang et al., 2017 | SVM ensembles | UCI and ACM SIGKDD Cup 2008 | Accuracy AUC F-measure | 96.85% 0.967 0.988 |
