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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Main Authors: Mobin Shaterian, Mohammad Teshnehlab
Format: Article
Language:fas
Published: University of Qom 2020-09-01
Series:مدیریت مهندسی و رایانش نرم
Subjects:
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
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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