background: we aimed to assess the high-risk group for suicide using different classification methods includinglogistic regression (lr), decision tree (dt), artificial neural network (ann), and support vector machine (svm). methods: we used the dataset of a study conducted to predict risk factors of completed suicide in hamadan province, the west of iran, in 2010. to evaluate the high-risk grou...

The purpose of this study is to assess the factors affecting  membership satisfaction in Andimeshk, using the Cochran Formula  with 260 people as sample size. Significant relationship between the variables for the statistical tests like Summer's D, Kendall, and Spearman and multivariate regression analysis and path analysis were mental health of family and social levels, and eliminating or cont...

Multiple Logistic Regression Just as in OLS regression, logistic models can include more than one predictor. The analysis options are similar to regression. One can choose to select variables, as with a stepwise procedure, or one can enter the predictors simultaneously, or they can be entered in blocks. Variations of the likelihood ratio test can be conducted in which the chi-square test (G) is...

Land resource management requires extensive land mapping. Conventional soil mapping takes a long time and is expensive; therefore, geographic information system data as predictor in texture modeling can be used an alternative solution to shorten reduce costs. Through digital elevation model data, topographic variability obtained independent variable predicting texture. Geographically weighted r...

abstract background and aims: paper-pencil tests have always its own problems in the mental disorders evaluation, including learning questions, bad or good blazon are the problems with this methodology. this study aimed to propose a new alternative method of measuring mental disorders without paper-pencil test using eeg. methods: the research society involved depressed patients referred the psy...

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