رویکرد شناسه‌گزینی منطقی در شناسایی اثرات متقابل عوامل خطر فلج مغزی کودکان

Background and purpose: The identification of risk factors and their interactions is important in medical studies. The aim of this study was to identify interaction of risk factors of cerebral palsy in 1-6-years-old children. Materials and methods: In this cross-sectional study, 225 children aged 1-6 years were enrolled during 2008-2009. Logic feature selection approach was used to identify interactions between risk factors. Data analysis was carried out using R2.15.2 software. Results: The logical components [(positive history of current pregnancy = 0) × (consanguinity= 1) × (premature rupture of membrane= 0) × (asphyxia = 1)] and [(consanguinity = 1) × (premature rupture of membrane= 1) × (asphyxia = 1)] were significantly identified. Conclusion: The logic regression as a newly method has the ability of recognizing and modeling of potential interactions between risk factors of diseases such as cerebral palsy.