We adapted the nonparametric evidence-theoretic k-Nearest Neighbor (k-NN) rule,whichwasoriginally designed formultinomial choice data, to rank-ordered choice data. The contribution of thismodel is its ability to extract information fromall theobserved rankings to improve theprediction power for each individual’s primary choice. The evidence-theoretic k-NN rule for heterogeneous rank-ordered dat...

Background: General practitioners are the first who visit burn patients and they first calculate burn size and required fluid for the patient. Error in calculation can be disastrous. The purpose of this study is to compare four methods of estimating burn size to teach students. Methods: This is a descriptive-analytic study on 37 medical students. Four methods of estimating burn percentage was t...

In many situations, the decision maker observes items in sequence and needs to determine whether or not to retain a particular item immediately after it is observed. Any decision rule creates a set of items that are selected. We consider situations where the available information is the rank of a present observation relative to its predecessors. Certain “natural” selection rules are investigate...

Background: Gastric cancer is the fifth most common cancer and the third top cause of cancer related death with about 1 million new cases and 700,000 deaths in 2012. The aim of this investigation was to identify important factors for outcome using a random survival forest (RSF) approach. Materials and Methods: Data were collected from 128 gastric cancer patients through a historical cohort stud...