Failed back-surgery syndrome (FBSS) prediction using fuzzy inference system (FIS)
Document Type
Conference Paper
Conference Name
Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference
Conference Location
Dubai, United Arab Emirates
ISBN
978-1-4244-1235-8
Publication (Name of Journal)
Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference
Department
Neurosurgery
Publisher
Signal Processing and Communications, 2007. ICSPC 2007
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.
Recommended Citation
Qidwai, U.,
Shamim, S.,
Raquib, F.,
Enam, S.
(2007). Failed back-surgery syndrome (FBSS) prediction using fuzzy inference system (FIS). Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference.
Available at:
https://ecommons.aku.edu/book_chapters/239