A Case Study on Risk Prediction in Heart Failure Patients using Random Survival Forest

Joint prediction scheme of pulmonary infection risk after renal transplantation

“…In addition to traditional data mining methods, in recent years, some intelligent data mining methods often utilized in machine learning have also been applied to this prediction field [8]. For example, some data-driven random survival forest mining approaches are proposed in [9], [11], [12]. Moreover, some decision-tree-based schemes [16], proposed to determine the risk factors in lung infection, could also been found in [17][18][19].…”