Table 3.
Data mining method.
| Machine Learning Method | Advantages | Disadvantages | 
|---|---|---|
| Decision Tree | Low complexity | Accuracy depends on the design of the features and tree | 
| Artificial Neural Network | Robustness and widely applicable | Initial value, Long training time Over-training and Dependent. | 
| Support Vector Machine | Repeatable training process, good performance | Supervised learning, parameter dependent. | 
| Random Forest | Resistance to over training, Improve prediction accuracy | Fundamentally discrete, Large number of trees may make the algorithm slow for real-time prediction | 
Margin - Margin qualities will be an essential BI-RADS type throughout determining the likelihood of malignancy. This kind of BI-RADS type has several subcategories devoted to different qualities on the cancer mark up, including: “indistinct,' '“angular,' '“microlobulated” and also “spiculated,' 'that are concern features.
Echo pattern - Echo pattern may possibly be determined by checking structure which plays a crucial role from the difference in between lesions on the skin inside and ultrasound imaging.