background : in medical studies, when the joint prediction about occurrence of two events should be anticipated, a statistical bivariate model is used. due to the limitations of usual statistical models, other methods such as artificial neural network (ann) and hybrid models could be used. in this paper, we propose a hybrid artificial neural network-genetic algorithm (ann-ga) model to predictio...

Understanding how closely related wildlife species and their domesticated counterparts exchange or share parasites, or replace each other in parasite life cycles, is of great interest to veterinary and human public health, and wildlife ecology. Grey wolves (Canis lupus) host and spread endoparasites that can either directly infect canid conspecifics or their prey serving as intermediate hosts o...

Ecological risk assessment at the population level often involves predicting the effects of a particular change in the land-use patterns on the viability of native species. A common method of addressing such questions is modeling the metapopulation dynamics of the species in the landscape. However, the landscape and, as a result, the spatial structure of the metapopulation usually do not remain...

background:tramadol poisoning has increased in recent years. seizure is one ofthe side-effects oftramadol toxicity. there is a controversy about possible preventive effect of naloxone in tramadol poisoning induced seizure. therefore, this study was performed to compare seizure incidence in tramadol poisoning patients who received and did not receive naloxone, as an opioid antagonist. methods:th...

The reference cited in the fourth sentence of the “Statistical analyses” section are incorrect. The sentence should read: PRRs were used because the outcome variable had prevalence above 10% (Zocchetti et al., 1997; Traissac et al., 1999; Barros et al., 2003). The correct references are: Zocchetti, C., D. Consonni, and P.A. Bertazzi, Relationship between prevalence rate ratios and odds ratios i...

Supervisory signals can help topic models discover low-dimensional data representations which are useful for a specific prediction task. We propose a framework for training supervised latent Dirichlet allocation that balances two goals: faithful generative explanations of high-dimensional data and accurate prediction of associated class labels. Existing approaches fail to balance these goals by...

Introduction: In Iran, 95% of animal bites are attributed to domestic dogs and cats, while one-third of rabies victims are from wildlife. The wolf is one of the primary vectors of wildlife in the country. This study was aimed to assess the impact of wildlife on rabies transmission and to evaluate the efficacy of an oral rabies vaccine (ORV) in the gray wolf (Canis lupus pallipes). Methods: We s...

The aim of the paper is to discuss credit scoring modeling of a customer revolving credit depending on customer application data and transaction behavior data. Logistic regression, survival analysis, and neural network credit scoring models were developed in order to assess relative importance of different variables in predicting the default of a customer. Three neural network algorithms were t...

There are a number of reasonable approaches to analysing an ordinal outcome variable. One common approach, known as the Proportional Odds (PO) Model, is implemented in Stata as ologit. If the assumptions of the PO model are not satisfied, an alternative is to treat the outcome as categorical, rather than ordinal, and use multinomial logistic regression (mlogit) in Stata. This insert describes a...