Risk assessment methods based on scoring methods that rate the severity of each risk factor on an ordinal scale are widely used and frequently perceived by users to have value. We argue that this perceived benefit is probably illusory in most cases. We begin by describing a number of common scoring methods currently used to assess risk in a variety of different domains. We then review the liter...

Combination methods have been investigated as a possible means to improve performance in multi-variable (multi-criterion or multi-objective) classification, prediction, learning, and optimization problems. In addition, information collected from multi-sensor or multi-source environment also often needs to be combined to produce more accurate information, to derive better estimation, or to make ...

Credit scoring is the term used to describe formal statistical methods used for classifying applicants for credit into `good' and `bad' risk classes. Such methods have become increasingly important with the dramatic growth in consumer credit in recent years. A wide range of statistical methods has been applied, though the literature available to the public is limited for reasons of commercial c...

Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular approaches for building credit scoring models. Despite their popularity, quite a few limitations are known to be associated with these methods, such as being instable with high-dimensional data (also known as combinat...

During the last fifteen years, soft computing methods have been successfully applied in building powerful and flexible credit scoring models and have been suggested to be a possible alternative to statistical methods. In this survey, the main soft computing methods applied in credit scoring models are presented and the advantages as well as the limitations of each method are outlined. The main ...

OBJECTIVES Modified adult disease severity scoring systems are being used for childhood FMF. We aim to test the clinical consistency of two common severity scoring systems and to evaluate the correlation of scores with the type of FMF mutations in paediatric FMF patients since certain mutations are prone to severe disease. METHODS Two hundred and fifty-eight children with FMF were cross-secti...

OBJECTIVES/HYPOTHESIS To verify the reliability and validity of automated scoring and compare it to that of manual scoring for diagnosing obstructive sleep apnea using an Embletta X100 level 2 portable device. STUDY DESIGN Retrospective study. METHODS A total of 116 patients with suspected obstructive sleep apnea who had successfully received portable polysomnography with the Embletta X100 ...