Classification Model for Diagnosis and Prognosis of Breast Cancer

September 17, 2018
1. Ensembled Prediction Model for Diagnosis (Malignant / Benign) 2. Ensembled Prediction Model for Recurrence (Recurrence / Nonrecurrence)
1. Prediction Model for Diagnosis (Malignant / Benign) Target: Diagnosis Predictors: Nuclear features of Breast Tumour mass Algorithms: Boosted Decision Tree, Decision Jungle, Locally-Deep SVM 2. Prediction Model for Recurrence (Recurrence / Nonrecurrence) Target: Outcome Predictors: Nuclear features of Breast Tumour mass, Tumour size Algorithms: Boosted Decision Tree, Decision Forest, Decision Jungle, Locally-Deep SVM