Identifying the Effective Factors on Neuropathic Diseases in Patients with Chronic pain Using Deep Neural Networks
The main purpose of this research is finding major characteristics of clinical signs in the diagnosis of neuropathic disease in patients with chronic long-term pain. This type of disease is caused by various factors such as war, accidents and sports events. In this research, pain questionnaire of Sh...
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University of Qom
2020-09-01
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Series: | مدیریت مهندسی و رایانش نرم |
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Online Access: | https://jemsc.qom.ac.ir/article_1276_0c943ca8aa651abebc2d53745c2f0aff.pdf |
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author | Mobin Shaterian Mohammad Teshnehlab |
author_facet | Mobin Shaterian Mohammad Teshnehlab |
author_sort | Mobin Shaterian |
collection | DOAJ |
description | The main purpose of this research is finding major characteristics of clinical signs in the diagnosis of neuropathic disease in patients with chronic long-term pain. This type of disease is caused by various factors such as war, accidents and sports events. In this research, pain questionnaire of Shafa Neuroscience Research Center in Khatam-ol-Anbia Hospital in Tehran is study. By using the deep neural network and the nearest neighbor and the genetic algorithm and the auto encoder, the list of features was obtained with a precision measurement of 75 percentage. The McGill questionnaire was designated as the best effective feature for Neuropathic Pain. |
format | Article |
id | doaj-art-ceeb6a05bbde4e868a12985440889c98 |
institution | Kabale University |
issn | 2538-6239 2538-2675 |
language | fas |
publishDate | 2020-09-01 |
publisher | University of Qom |
record_format | Article |
series | مدیریت مهندسی و رایانش نرم |
spelling | doaj-art-ceeb6a05bbde4e868a12985440889c982025-01-30T20:17:43ZfasUniversity of Qomمدیریت مهندسی و رایانش نرم2538-62392538-26752020-09-016213915010.22091/jemsc.2018.12761276Identifying the Effective Factors on Neuropathic Diseases in Patients with Chronic pain Using Deep Neural NetworksMobin Shaterian0Mohammad Teshnehlab1Department of Computer Engineering, Islamic Azad University Tehran Science and Research Branch,Tehran, IranElectrical Eng. Department of K. N. Toosi University of Technology, Tehran, Iran.The main purpose of this research is finding major characteristics of clinical signs in the diagnosis of neuropathic disease in patients with chronic long-term pain. This type of disease is caused by various factors such as war, accidents and sports events. In this research, pain questionnaire of Shafa Neuroscience Research Center in Khatam-ol-Anbia Hospital in Tehran is study. By using the deep neural network and the nearest neighbor and the genetic algorithm and the auto encoder, the list of features was obtained with a precision measurement of 75 percentage. The McGill questionnaire was designated as the best effective feature for Neuropathic Pain.https://jemsc.qom.ac.ir/article_1276_0c943ca8aa651abebc2d53745c2f0aff.pdfneuropathicchronic long-termpainmcgill questionnaireneural network |
spellingShingle | Mobin Shaterian Mohammad Teshnehlab Identifying the Effective Factors on Neuropathic Diseases in Patients with Chronic pain Using Deep Neural Networks مدیریت مهندسی و رایانش نرم neuropathic chronic long-termpain mcgill questionnaire neural network |
title | Identifying the Effective Factors on Neuropathic Diseases in Patients with Chronic pain Using Deep Neural Networks |
title_full | Identifying the Effective Factors on Neuropathic Diseases in Patients with Chronic pain Using Deep Neural Networks |
title_fullStr | Identifying the Effective Factors on Neuropathic Diseases in Patients with Chronic pain Using Deep Neural Networks |
title_full_unstemmed | Identifying the Effective Factors on Neuropathic Diseases in Patients with Chronic pain Using Deep Neural Networks |
title_short | Identifying the Effective Factors on Neuropathic Diseases in Patients with Chronic pain Using Deep Neural Networks |
title_sort | identifying the effective factors on neuropathic diseases in patients with chronic pain using deep neural networks |
topic | neuropathic chronic long-termpain mcgill questionnaire neural network |
url | https://jemsc.qom.ac.ir/article_1276_0c943ca8aa651abebc2d53745c2f0aff.pdf |
work_keys_str_mv | AT mobinshaterian identifyingtheeffectivefactorsonneuropathicdiseasesinpatientswithchronicpainusingdeepneuralnetworks AT mohammadteshnehlab identifyingtheeffectivefactorsonneuropathicdiseasesinpatientswithchronicpainusingdeepneuralnetworks |