Anthropometric Predictors and Artificial Neural Networks in the Diagnosis of Hypertension

• Autorzy: Krzysztof Pytel , Tadeusz Nawarycz , Lidia Ostrowska-Nawarycz , Wojciech Drygas
• Języki publikacji: EN

Abstrakty

EN

Artificial Neural Networks (ANNs) play a vital role in the medical field in solving various health problems like estimating the risk of cardiovascular diseases. The article concerns the process of developing ANNs for estimating the risk of arterial hypertension. ANNs proposed in this article use anthropometrical predictors, easy to control for everybody at home without special equipment. In the article we analyze four different models of ANNs and try to find out which model and set of anthropometrical predictors estimates the risk the most accurately. We use dataset of 2485 real cases of patients from the city of Lodz. The experiment was done in the Matlab environment. The performance of the proposed method in terms of accuracy and facility of use shows that ANNs can be effective tools for preliminary tests of arterial hypertension. (original abstract)

Słowa kluczowe

EN

Artificial intelligence; Artificial neural networks (ANN)

PL

Sztuczna inteligencja; Sztuczne sieci neuronowe (SSN)

• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2015
• Tom: 5
• Strony: 287--290

Twórcy

autor

Krzysztof Pytel

• University of Lodz

autor

Tadeusz Nawarycz

• Medical University of Lodz

autor

Lidia Ostrowska-Nawarycz

• Medical University of Lodz

autor

Wojciech Drygas

• Medical University of Lodz

Bibliografia

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Identyfikatory

DOI

10.15439/2015F246