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AuthorQidwai, Uvais
AuthorShamim, Shahzad
AuthorRaquib, Farhana
AuthorEnam, Ather
Available date2009-12-29T10:29:59Z
Publication Date2007-11-24
Publication NameIEEE International Conference onSignal Processing and Communications 2007
CitationQidwai, U.; Shamim, M.S.; Raquib, F.; Enam, A., "Failed Back Surgery Syndrome (FBSS) Prediction using Fuzzy Inference System (FIS)," Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on , vol., no., pp.880-883, 24-27 Nov. 2007
URIhttp://dx.doi.org/10.1109/ICSPC.2007.4728460
URIhttp://hdl.handle.net/10576/10567
AbstractIn this paper a fuzzy inference system (FIS) is presented to predict the level of risk for a class of patients to be needing a repeated surgery for the herniated lumber disc (or more commonly known as slipped disc). The FIS is based upon a clinical study that was conducted by a number of doctors at Aga Khan University Hospital in Pakistan with the objective that certain clinical measures can be used from the beginning to assist the physician in making a better risk estimate for the patient at hand. As such, over 90 clinical markers were collected through patients' surveys over a period of 5 years (2000-2004). The presented study utilizes a subset of 16 markers and has recommendation for 7 of these markers for a reasonably accurate risk prediction. A set of 11 rules has been established that constitute the mapped understanding from the physicians' heuristics. Such a system will be a very helpful tool for medical professionals for making quick risk assessment for a patient and will enable them to more accurately define the treatment for the same.
Languageen
PublisherIEEE
SubjectFBSS
Fuzzy Inference System
Fuzzy
Inference System
TitleFailed Back Surgery Syndrome (FBSS) Prediction using Fuzzy Inference System (FIS)
TypeArticle
dc.accessType Abstract Only


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