کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1137193 1489178 2009 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Machine learning techniques applied to the determination of osteoporosis incidence in post-menopausal women
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی کنترل و سیستم های مهندسی
پیش نمایش صفحه اول مقاله
Machine learning techniques applied to the determination of osteoporosis incidence in post-menopausal women
چکیده انگلیسی

Osteoporosis is a disease that mostly affects women in developed countries. It is characterised by reduced bone mineral density (BMD) and results in a higher incidence of fractured or broken bones. In this research we studied the relationship between BMD and diet and lifestyle habits for a sample of 305 post-menopausal women by constructing a non-linear model using the regression support vector machines technique. One aim of this model was to make an initial preliminary estimate of BMD in the studied women (on the basis of a questionnaire with questions mostly on dietary habits) so as to determine whether they needed densitometry testing. A second aim was to determine the factors with the greatest bearing on BMD with a view to proposing dietary and lifestyle improvements. These factors were determined using regression trees applied to the support vector machines predictions.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mathematical and Computer Modelling - Volume 50, Issues 5–6, September 2009, Pages 673–679
نویسندگان
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