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Blood Pressure Classification Using the Method of the Modular Neural Networks
In this paper, we present a new model based on modular neural networks (MNN) to classify a patient's blood pressure level (systolic and diastolic pressure and pulse). Tests are performed with the Levenberg-Marquardt (trainlm) and scaled conjugate gradient backpropagation (traincsg) training met...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6364108/ https://www.ncbi.nlm.nih.gov/pubmed/30809391 http://dx.doi.org/10.1155/2019/7320365 |
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author | Pulido, Martha Melin, Patricia Prado-Arechiga, German |
author_facet | Pulido, Martha Melin, Patricia Prado-Arechiga, German |
author_sort | Pulido, Martha |
collection | PubMed |
description | In this paper, we present a new model based on modular neural networks (MNN) to classify a patient's blood pressure level (systolic and diastolic pressure and pulse). Tests are performed with the Levenberg-Marquardt (trainlm) and scaled conjugate gradient backpropagation (traincsg) training methods. The modular neural network architecture is formed by three modules. In the first module we consider the diastolic pressure data; in the second module we use details of the systolic pressure; in the third module, pulse data is used and the response integration is performed with the average method. The goal is to design the best MNN architecture for achieving an accurate classification. The results of the model show that MNN presents an excellent classification for blood pressure. The contribution of this work is related to helping the cardiologist in providing a good diagnosis and patient treatment and allows the analysis of the behavior of blood pressure in relation to the corresponding diagnosis, in order to prevent heart disease. |
format | Online Article Text |
id | pubmed-6364108 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-63641082019-02-26 Blood Pressure Classification Using the Method of the Modular Neural Networks Pulido, Martha Melin, Patricia Prado-Arechiga, German Int J Hypertens Research Article In this paper, we present a new model based on modular neural networks (MNN) to classify a patient's blood pressure level (systolic and diastolic pressure and pulse). Tests are performed with the Levenberg-Marquardt (trainlm) and scaled conjugate gradient backpropagation (traincsg) training methods. The modular neural network architecture is formed by three modules. In the first module we consider the diastolic pressure data; in the second module we use details of the systolic pressure; in the third module, pulse data is used and the response integration is performed with the average method. The goal is to design the best MNN architecture for achieving an accurate classification. The results of the model show that MNN presents an excellent classification for blood pressure. The contribution of this work is related to helping the cardiologist in providing a good diagnosis and patient treatment and allows the analysis of the behavior of blood pressure in relation to the corresponding diagnosis, in order to prevent heart disease. Hindawi 2019-01-23 /pmc/articles/PMC6364108/ /pubmed/30809391 http://dx.doi.org/10.1155/2019/7320365 Text en Copyright © 2019 Martha Pulido et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Pulido, Martha Melin, Patricia Prado-Arechiga, German Blood Pressure Classification Using the Method of the Modular Neural Networks |
title | Blood Pressure Classification Using the Method of the Modular Neural Networks |
title_full | Blood Pressure Classification Using the Method of the Modular Neural Networks |
title_fullStr | Blood Pressure Classification Using the Method of the Modular Neural Networks |
title_full_unstemmed | Blood Pressure Classification Using the Method of the Modular Neural Networks |
title_short | Blood Pressure Classification Using the Method of the Modular Neural Networks |
title_sort | blood pressure classification using the method of the modular neural networks |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6364108/ https://www.ncbi.nlm.nih.gov/pubmed/30809391 http://dx.doi.org/10.1155/2019/7320365 |
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