Patient evaluation causes a great burden on medics and clinical staff. Given the increase in Cardiovascular Diseases (CVD), including stroke and traumatic injuries, this work presents a novel automatized solution to reduce the burden of patient assessment using computational tools such as representations, model selection, classifiers and multi-label classifiers.