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Amin Katouzian

Heterogeneous Ensembles for Predicting Survival of Metastatic, Castrate-Resistant Prostate Cancer Patients
Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial data
An Efficient Training Algorithm for Kernel Survival Support Vector Machines
Survival analysis for high-dimensional, heterogeneous medical data: Exploring feature extraction as an alternative to feature selection
Fast Training of Support Vector Machines for Survival Analysis
Stratification of coronary artery disease patients for revascularization procedure based on estimating adverse effects