Predicting the performance of registered nurse anesthesia students (RNAS) on the national certification examination (NCE) is an area of interest to educators, students, and employers. Following graduation from an accredited nurse anesthesia educational program, RNAS must pass the NCE to practice. The purpose of this study was to investigate 13 academic, demographic, and preadmission factors whi...

When modelling a probability distribution with a Bayesian network, we are faced with the problem of how to handle continuous variables. Most previous works have solved the problem by discretizing them with the consequent loss of information. Another common alternative assumes that the data are generated by a Gaussian distribution (parametric approach), such as conditional Gaussian networks, wit...

background : data mining has an interdisciplinary field including various scientific disciplines such as: database systems, statistics, machine learning, artificial intelligence and the others. in the field of medical, data mining algorithms can help physicians to diagnose diseases and chose the best type of treatment. hepatocellular carcinoma has the most common type of liver cancer. given the...

A new simple analytical model for prediction of cooling rate in the solidification process based on the local heat flux density extracted during solidification is introduced. In the modeling procedure, a solidifying control volume is considered in the mushy zone in which a heat balance equation is used to derive the present model. As the local heat flux density is a measurable parameter, the pr...

The face is an important part of the identity of a person. Numerous applications benefit from the recent advances in prediction of face attributes, including biometrics (like age, gender, ethnicity) and accessories (eyeglasses, hat). We study the attributes’ relations to other attributes and to face images and propose prediction models for them. We show that handcrafted features can be as good ...

A reasoning model, based on the logic of argumentation, is described. The model represents argumentation as a directed graph in which nodes and arcs can be colored using an ordinal set of weightings and in which the attributes of both nodes and arcs can be modified. It is thus able to deal with the undercutting or augmenting of arguments. Weightings can be propagated through the graph to genera...