| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 713980 | IFAC Proceedings Volumes | 2013 | 5 Pages |
Abstract
A fuzzy inference system (FIS) that aids in atherogenesis risk diagnosis is described in this document, taken as point of start data of human lipd levels. This FIS uses Total Cholesterol, Low-Density Lipoproteins, Atherogenic Index and Triglycerides as variables in order to propose a diagnosis method to help in low-cost early detection of atherogenesis risk, in strict agreement to medical convention.
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