Volume 23, Issue 110 (3-2014)                   J Mazandaran Univ Med Sci 2014, 23(110): 211-217 | Back to browse issues page

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Bakhshi E, Zare-Delavar S, Soleimani F, Biglarian A. Logic features selection approach in identification of risk factors interactions in children with cerebral palsy. J Mazandaran Univ Med Sci. 2014; 23 (110) :211-217
URL: http://jmums.mazums.ac.ir/article-1-2347-en.html
Abstract:   (4370 Views)
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.
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Type of Study: Research(Original) | Subject: Biostatistics

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