expert systems can help to build banks customers' credit scoring models. here, selection of key features of the credit scoring is important. also, it is possible to express the features values as fuzzy. the problem is how to improve features selection by genetic algorithm, in way that these features can be employed as input in fuzzy expert system. this paper presents a hybrid credit scorin...

background and purpose: severity of illness scoring systems is used for the classification of patients to receive medical services, predict the risk of mortality, determine hospital bed occupancy, and assess treatment progress. in iran, these scoring systems are not frequently used due to the lack of knowledge of medical staff. this study aimed to evaluate the effect of education on the knowled...

In assessing foreign language writing, holistic and analytic scoring can be used to measure a variety of discourse and linguistic features. This study aimed to investigate the possible significant effect of analyt- ic and holistic assessments on improving writing skill among Iranian EFL learners. For this purpose, two groups of intermediate EFL learners, after being homogenized, were divided in...

The actual survival of patients treated following trauma in four Scottish Teaching hospitals during five years was compared with predicted survival according to TRISS analysis. The data were analysed according to the seniority of the Accident and Emergency (A&E) doctor treating each patient. The group of patients treated by a consultant had a significantly better outcome (p < 0.05) than the gro...

Should healthy, middle-aged women receive precautionary mammograms? Should trauma surgeons use the popular TRISS score to predict the likelihood of patient survival? These are examples of questions confronting us when we decide whether to use a yes/no prediction. In order to trust a prediction we must show that it is more valuable than would be our best guess of the future in the absence of the...