A Novel Fuzzy Expert System for the Identification of Severity of Carpal Tunnel Syndrome
The diagnosis of carpal tunnel syndrome, a peripheral nerve disorder, at the earliest possible stage is very crucial because if left untreated it may cause permanent nerve damage reducing the chances of successful treatment. Here a novel Fuzzy Expert System designed using MATLAB is proposed for iden...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2013-01-01
|
Series: | BioMed Research International |
Online Access: | http://dx.doi.org/10.1155/2013/846780 |
id |
doaj-7f1db75077264b07b938a1669a3eaf5d |
---|---|
record_format |
Article |
spelling |
doaj-7f1db75077264b07b938a1669a3eaf5d2020-11-24T22:30:25ZengHindawi LimitedBioMed Research International2314-61332314-61412013-01-01201310.1155/2013/846780846780A Novel Fuzzy Expert System for the Identification of Severity of Carpal Tunnel SyndromeReeda Kunhimangalam0Sujith Ovallath1Paul K. Joseph2National Institute of Technology, Calicut (NITC), Kozhikode, Kerala 673601, IndiaDepartment of Neurology, Kannur Medical College, Anjarakandy, Kannur, Kerala 670612, IndiaNational Institute of Technology, Calicut (NITC), Kozhikode, Kerala 673601, IndiaThe diagnosis of carpal tunnel syndrome, a peripheral nerve disorder, at the earliest possible stage is very crucial because if left untreated it may cause permanent nerve damage reducing the chances of successful treatment. Here a novel Fuzzy Expert System designed using MATLAB is proposed for identification of severity of CTS. The data used were the nerve conduction study data obtained from Kannur Medical College, India. It consists of thirteen input fields, which include the clinical values of the diagnostic test and the clinical symptoms, and the output field gives the disease severity. The results obtained match with the expert’s opinion with 98.4% accuracy and high degrees of sensitivity and specificity. Since quantification of the intensity of CTS is a crucial step in the electrodiagnostic procedure and is important for defining prognosis and therapeutic measures, such an expert system can be of immense use in those regions where the service of such specialists may not be readily available. It may also prove useful in combination with other systems in providing diagnostic and predictive medical opinions and can add value if introduced into the routine clinical consultations to arrive at the most accurate medical diagnosis in a timely manner.http://dx.doi.org/10.1155/2013/846780 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Reeda Kunhimangalam Sujith Ovallath Paul K. Joseph |
spellingShingle |
Reeda Kunhimangalam Sujith Ovallath Paul K. Joseph A Novel Fuzzy Expert System for the Identification of Severity of Carpal Tunnel Syndrome BioMed Research International |
author_facet |
Reeda Kunhimangalam Sujith Ovallath Paul K. Joseph |
author_sort |
Reeda Kunhimangalam |
title |
A Novel Fuzzy Expert System for the Identification of Severity of Carpal Tunnel Syndrome |
title_short |
A Novel Fuzzy Expert System for the Identification of Severity of Carpal Tunnel Syndrome |
title_full |
A Novel Fuzzy Expert System for the Identification of Severity of Carpal Tunnel Syndrome |
title_fullStr |
A Novel Fuzzy Expert System for the Identification of Severity of Carpal Tunnel Syndrome |
title_full_unstemmed |
A Novel Fuzzy Expert System for the Identification of Severity of Carpal Tunnel Syndrome |
title_sort |
novel fuzzy expert system for the identification of severity of carpal tunnel syndrome |
publisher |
Hindawi Limited |
series |
BioMed Research International |
issn |
2314-6133 2314-6141 |
publishDate |
2013-01-01 |
description |
The diagnosis of carpal tunnel syndrome, a peripheral nerve disorder, at the earliest possible stage is very crucial because if left untreated it may cause permanent nerve damage reducing the chances of successful treatment. Here a novel Fuzzy Expert System designed using MATLAB is proposed for identification of severity of CTS. The data used were the nerve conduction study data obtained from Kannur Medical College, India. It consists of thirteen input fields, which include the clinical values of the diagnostic test and the clinical symptoms, and the output field gives the disease severity. The results obtained match with the expert’s opinion with 98.4% accuracy and high degrees of sensitivity and specificity. Since quantification of the intensity of CTS is a crucial step in the electrodiagnostic procedure and is important for defining prognosis and therapeutic measures, such an expert system can be of immense use in those regions where the service of such specialists may not be readily available. It may also prove useful in combination with other systems in providing diagnostic and predictive medical opinions and can add value if introduced into the routine clinical consultations to arrive at the most accurate medical diagnosis in a timely manner. |
url |
http://dx.doi.org/10.1155/2013/846780 |
work_keys_str_mv |
AT reedakunhimangalam anovelfuzzyexpertsystemfortheidentificationofseverityofcarpaltunnelsyndrome AT sujithovallath anovelfuzzyexpertsystemfortheidentificationofseverityofcarpaltunnelsyndrome AT paulkjoseph anovelfuzzyexpertsystemfortheidentificationofseverityofcarpaltunnelsyndrome AT reedakunhimangalam novelfuzzyexpertsystemfortheidentificationofseverityofcarpaltunnelsyndrome AT sujithovallath novelfuzzyexpertsystemfortheidentificationofseverityofcarpaltunnelsyndrome AT paulkjoseph novelfuzzyexpertsystemfortheidentificationofseverityofcarpaltunnelsyndrome |
_version_ |
1725741083364687872 |