Neurology Commons^™

Cranial Reconstruction After Decompressive Craniectomy: Prediction Of Complications Using Fuzzy Logic, Saniya Siraj Godil, Muhammad Shahzad Shamim, Ather Enam, Uvais Qidwai, Mohsin Qadeer, Zain A. Sobani

Section of Neurosurgery

Introduction: Cranial reconstruction after decompressive craniectomy (DC) has been shown to be associated with a relatively high complication rate (16.4%-34%) compared with standard neurosurgical procedures (2%-5%). Most studies that have previously attempted to formulate a multivariate model for identifying factors predictive of postoperative complications of cranioplasty either were unsuccessful or yielded conflicting results. Therefore, fuzzy logic-based fuzzy inference system (FIS), which has proven to be a useful tool for risk prediction in medical and surgical conditions, was used in this study to identify predictors of complications of cranioplasty.
Methods: A retrospective chart review of all the patients who underwent DC …