a novel fuzzy expert system for the identification of severity of carpal tunnel syndrome

Clicks: 126
ID: 224105
2013
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Popular

Ranked #1,013 of 1,324 articles by views in spectrochimica acta - part a: molecular and biomolecular spectroscopy

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 1,324 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
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.
Reference Key
kunhimangalam2013biomeda Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Reeda Kunhimangalam;Sujith Ovallath;Paul K. Joseph
Journal spectrochimica acta - part a: molecular and biomolecular spectroscopy
Year 2013
DOI
10.1155/2013/846780
URL
http://dx.doi.org/10.1155/2013/846780
Keywords
Medicine

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.