Twin study of adolescent genetic susceptibility to mosquito bites using ordinal and comparative rating data.

Animal Bite and its Contributors in Aq-Qala District, Golestan Province, Iran

Introduction: Rabies is one of the most important infectious diseases and animal bites are increasing in Iran. Due to the significance of the subject, the current study was designed and conducted with the aim of determining Animal bite status and its contributors in Aq-Qala district, Golestan province, Iran. Materials and methods: This is a data-based study with descriptive approach carrie...

A twin study of genetic influences on epilepsy outcome.

The identification of genetic factors that confer susceptibility to the epilepsies has to date been the focus of genetic efforts in this field. Few studies have assessed the genetic contribution to disease course in epilepsy, yet an understanding of the genetic influences on epilepsy outcome is key to developing new therapeutic strategies. The aim of this study was to assess the genetic contrib...

Transmission of African Horse-Sickness by Means of Mosquito Bites and Replication of the Virus in Aedes aegypti

GENETIC PROGRAMMING AND MULTIVARIATE ADAPTIVE REGRESION SPLINES FOR PRIDICTION OF BRIDGE RISKS AND COMPARISION OF PERFORMANCES

In this paper, two different data driven models, genetic programming (GP) and multivariate adoptive regression splines (MARS), have been adopted to create the models for prediction of bridge risk score. Input parameters of bridge risks consists of safe risk rating (SRR), functional risk rating (FRR), sustainability risk rating (SUR), environmental risk rating (ERR) and target output. The total ...

Comparison of Ordinal Response Modeling Methods like Decision Trees, Ordinal Forest and L1 Penalized Continuation Ratio Regression in High Dimensional Data

Background: Response variables in most medical and health-related research have an ordinal nature. Conventional modeling methods assume predictor variables to be independent, and consider a large number of samples (n) compared to the number of covariates (p). Therefore, it is not possible to use conventional models for high dimensional genetic data in which p > n. The present study compared th...