designing a minimum data set for national cancer registry in iran     sadoughi f [1] , safdari r [2] *, meraji m [3] , ramzan ghorbani n [4] , ghazisaeedi m [5]     received: 9 jul , 2013 accepted: 21 sep , 2013     abstract   background & aims : due to the widespread increase of cancer diseases, cancer registries as foundations for a struggle plan against the disease have been established. the...

the classification and regression trees (cart) possess the advantage of being able to handlelarge data sets and yield readily interpretable models. in spite to these advantages, they are alsorecognized as highly unstable classifiers with respect to minor perturbations in the training data.in the other words methods present high variance. fuzzy logic brings in an improvement in theseaspects due ...

Purpose: Having a clinical information system is a good solution for monitoring medical problems. This system is designed to improve the speed and accuracy of data management. The goal is to replace medical records with a clinical information system to support storing, processing and distributing data in all the sections of a healthcare center. The purpose of this research was to determine ...

Although the histogram is the most widely used density estimator, it is well{known that the appearance of a constructed histogram for a given bin width can change markedly for diierent choices of anchor position. In this paper we construct a stability index G that assesses the potential changes in the appearance of histograms for a given data set and bin width as the anchor position changes. If...

background: developmental dysplasia of hip (ddh) is a common childhood disorder, and ultrasonography examination is routinely used for screening purposes. in this study, we aimed to evaluate a modified combined static and dynamic   ultrasound technique for the detection of ddh and to compare with the results of static and dynamic ultrasound techniques.       methods: in this cross-sectional stu...

Clustering is an important approach in the analysis of biological data, and often a first step to identify interesting patterns of coexpression in gene expression data. Because of the high complexity and diversity of gene expression data, many genes cannot be easily assigned to a cluster, but even if the dissimilarity of these genes with all other gene groups is large, they will finally be forc...