کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1137909 1489204 2007 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Artificial neural networks and risk stratification: A promising combination
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی کنترل و سیستم های مهندسی
پیش نمایش صفحه اول مقاله
Artificial neural networks and risk stratification: A promising combination
چکیده انگلیسی

A brief overview of the principles of Artificial Neural Networks (ANN’s) is presented, followed by a review of the state of the art for ANN’s in the application field of the diagnosis of cardiovascular diseases. Next the technique of ANN’s is applied to model the risk stratification according to D’Agostino et al. [R.B. D’Agostino, M.W. Russell, D.M. Huse, et al., Primary and subsequent coronary risk appraisal: New results from the Framingham study, American Heart Journal 139 (2000) 272–281]. The performance of the network proves its ability to find non-linear relationships in (medical) data and some important factors in accomplishing an accurate and reliable network are derived. At the end an ANN is designed to investigate the predictive quality of certain well chosen risk factors for secondary prevention. The performance of the resulting network is put in an appropriate perspective and some aspects that need further study are mentioned.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mathematical and Computer Modelling - Volume 46, Issues 1–2, July 2007, Pages 88–94
نویسندگان
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