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...
| Publicado en: | BioMed Research International Vol. 2013; pp. 846780 - 846781 |
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| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
Wiley-Blackwell
2013
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104101286&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104101286 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 2013 vid: 2013 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 104101286 2012330865 NLM24083245 PMC3776559 104101286 ppf: 846780 ppct: 1 formats: fmt: @attributes: type: P tig: atl: A novel fuzzy expert system for the identification of severity of carpal tunnel syndrome. aug: au: Kunhimangalam, Reeda Ovallath, Sujith Joseph, Paul K affil: National Institute of Technology, Calicut (NITC), Kozhikode, Kerala 673601, India. sug: subj: Carpal Tunnel Syndrome Diagnosis Carpal Tunnel Syndrome Pathology Expert Systems Logic Severity of Illness Indices Carpal Tunnel Syndrome Physiopathology Neural Conduction Physiology Software ab: 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. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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