SOM APPROACH IN MONITORING AND DIAGNOSIS OF OBESITY-HYPERTENSION

Octavian Postolache, Monica Ferreira, Gabriela Postolache, Pedro Silva Girão

Abstract

Obesity-hypertension is an emerging concept in pathophysiology. Obesity and hypertension have been turned into an epidemic afflicting all the word, being among the mainly factors that have been burning the health costs. This paper reports a study whose purpose was to develop an objective method to better diagnose and manage this pathophysiology. A data management and data mapping system was developed. Kohonen topological mapping was used in the classification of obesity-hypertension considering clinical characteristics and laboratory results. Thus, the n-dimensional space of physiopathological parameters was converted into a 2D space of the following obesity classes: healthy subject, overweight, obesity class I, obesity class I-hypertension, obesity class II, obesity class II-hypertension, obesity class III, and obesity class III-hypertension. Transient changes in the individual state could also be analyzed using the proposed self-organizing map based model. Characteristics of the designed maps, such as topology and quantification errors, were studied.

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DOI

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IMEKO TC

TC4 - Measurement of Electrical Quantities

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