Additional file 1: of Computational prediction of multidisciplinary team decision-making for adjuvant breast cancer drug therapies: a machine learning approach

Table S1. List of clinicopathologic and outcome variables used in this analysis. Table S2. Parameters and commands used for training of the supervised learning classifiers. Table S3. List of covariates used by the trained machine learning models. Figure S1. Predictions of MDT recommendations by machine learning algorithms about adjuvant chemotherapy for each case. Figure S2. Predictions of MDT recommendations by machine learning algorithms about adjuvant endocrine therapy for each case. Figure S3. Predictions of MDT recommendations by machine learning algorithms about adjuvant trastuzumab therapy for each case. (PDF 864 kb)