Patients diagnosed with clinical stage I (CS I) nonseminomatous germ cell tumors (NSGCT) have excellent survival. There are several therapies that contribute to this outcome and choosing among them ...

This paper presents a general framework based on copulas for modeling dependent multivariate uncertainties through the use of a decision tree. The proposed dependent decision tree model allows ...

Dr. James McCaffrey of Microsoft Research says decision trees are useful for relatively small datasets and when the trained model must be easily interpretable, but often don't work well with large ...

Real-world safety and efficacy data of patients with synchronous metastatic renal cell carcinoma (mRCC) treated with nivolumab and ipilimumab (N+I) and the primary tumour (PT) in place. This is an ...

Decision trees are useful for relatively small datasets that have a relatively simple underlying structure, and when the trained model must be easily interpretable, explains Dr. James McCaffrey of ...

Decision trees are useful modeling tools to help you make decisions. Decision trees offer a structure to organize options and help you understand the possible results of choosing specific options.