Failed back surgery syndrome (FBSS) prediction using Fuzzy Inference System (fis)

Uvais Qidwai, M. Shahzad Shamim, Farhana Raquib, Ather Enam

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

In 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.

Original languageEnglish
Title of host publicationICSPC 2007 Proceedings - 2007 IEEE International Conference on Signal Processing and Communications
Pages880-883
Number of pages4
DOIs
Publication statusPublished - 2007
Event2007 IEEE International Conference on Signal Processing and Communications, ICSPC 2007 - Dubai, United Arab Emirates
Duration: 14 Nov 200727 Nov 2007

Publication series

NameICSPC 2007 Proceedings - 2007 IEEE International Conference on Signal Processing and Communications

Conference

Conference2007 IEEE International Conference on Signal Processing and Communications, ICSPC 2007
Country/TerritoryUnited Arab Emirates
CityDubai
Period14/11/0727/11/07

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