BACKGROUND Although prostate cancer has been prevalent in Japan, there has been no particular model for predicting the pathological stage in the Japanese population. We examined whether artificial neural network analysis (ANNA), which is a relatively new diagnostic tool in prostate cancer, can be one of the predictive methods for predicting organ confinement, compared with the traditional logis...

Landscape protection that, in the past, has been mainly concerned with its historical, artistic and cultural heritage, follows, nowadays, a systemic methodology that looks at landscape as a high level aggregate of spatial, ecologically different units that interact each other by exchanging energy and materials. Strategic environmental assessment, nowadays, has been adopted in Europe in landscap...

Predicting the survival status of Intensive Care patients at the end of their hospital stay is useful for various clinical and organizational tasks. Current models for predicting mortality use logistic regression models that rely solely on data collected during the first 24h of patient admission. These models do not exploit information contained in daily organ failure scores which nowadays are ...

The present study examined demographic and academic predictors of astronomy performance community college students enrolled in courses a large suburban college. theoretical framework was based upon deconstructive approach for predicting whereby pathways through higher education institutions are to understand their dynamic interaction with institutional integration progress towards goals. Transc...

This paper analyzes the characteristics that influence travel insurance claim based on existing data records. Using logistic regression, dependent variable is feature determines whether there a or no claim. On other hand, independent variables are analyzed using exploratory analysis to identify which characteristic has highest correlation with variable. Based selected features, regression model...

Mean-field variational methods are widely used for approximate posterior inference in many probabilistic models. In a typical application, mean-field methods approximately compute the posterior with a coordinate-ascent optimization algorithm. When the model is conditionally conjugate, the coordinate updates are easily derived and in closed form. However, many models of interest—like the correla...